The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Operation of Sensor Nodes for Smart Farming and Data Networking using Wireles...IRJET Journal
This document describes a proposed system for smart farming using wireless sensor networks. Key points:
- Sensor nodes would be deployed to monitor environmental parameters like temperature, humidity, and soil moisture.
- The sensor data would be transmitted wirelessly via technologies like Zigbee to a coordinator node.
- The coordinator node would convert the data to WiFi and send it to a web server where users could access it remotely via an online portal or mobile app.
- The system aims to automate irrigation and other farm operations based on sensor readings to optimize crop growth. This would reduce labor needs and allow remote monitoring of field conditions.
IRJET- Smart Agriculture System based on IoTIRJET Journal
This document proposes a smart agriculture system based on IoT. The key features include:
1. A smart GPS-based remote controlled robot that can perform tasks like weeding, spraying, moisture detection, and pest/animal deterrence.
2. An intelligent irrigation system with smart control based on real-time soil moisture data.
3. A smart warehouse management system that monitors temperature, humidity, and detects theft.
Sensors, WiFi/ZigBee modules, cameras, and actuators connected to microcontrollers and Raspberry Pi will automate and control these systems remotely through a mobile or web application. The goal is to modernize agriculture using automation and IoT technologies.
Review on microcontroller based monitoring system for agricultureIRJET Journal
This document describes a microcontroller-based monitoring system for agriculture. It consists of sensors to measure soil moisture, temperature, and humidity. The sensor readings are sent to a microcontroller and displayed on an LCD. They are also transmitted wirelessly to a computer. If the soil moisture exceeds a threshold, the computer will activate a relay to turn on a water pump, thereby automatically irrigating the field. The system aims to remotely monitor environmental conditions and automate irrigation to improve crop yields in a low-cost and simple way.
Automated Irrigation System using WSN and Wi-Fi ModuleIJERA Editor
The objective of the developed system is to encourage the efficient water management practices that optimize the usage of water by keeping the crop health and yield intact through the implementation of automated irrigation system. The microcontroller-based solution consists of distributed wireless network (WSN), base or control station and user interface. Each sensor node will have soil-moisture, temperature and humidity sensors placed in the farmland. These WSNs are powered by battery. Base station will collect the sensor information through the use of RF transceiver. An algorithm is developed to monitor soil-moisture and temperature to control the water volume depending upon the set threshold. Base station also sends the sensor information to remote database for logging through Wi-Fi interface. Web application is developed that enables the user for remote monitoring of data and control certain parameters like soil moisture threshold, manual override of water flow, etc.
A Review paper on wireless sensor network and GPRS module for automated irrig...IRJET Journal
This document reviews existing automated irrigation systems and proposes a new system using wireless sensor networks and GPRS modules. It discusses how existing systems using ARM processors, RF modules, and GSM have limitations like low transmission rates and security issues. The proposed system would have distributed wireless sensors to measure soil moisture and temperature around plant roots. The sensor data would be sent to a centralized node via a wireless network. This node would use GPRS communication to control irrigation based on the sensor readings. The system aims to optimize water use for crops using Internet of Things technology.
IRJET - Drip Irrigation in Agricultural Land through Android Mobile ApplicationIRJET Journal
This document summarizes research on using an Internet of Things (IoT) system with wireless sensors and an Android mobile application to monitor and control drip irrigation in agricultural fields. The system collects data on soil moisture, temperature, and other field conditions from sensors. It allows farmers to monitor their fields and irrigation systems from anywhere using their mobile phones. The collected data is stored in a database and used to automate irrigation based on sensor readings to optimize water usage and crop growth while reducing costs for farmers. The system is intended to help farmers increase productivity and yields through remote monitoring of field conditions and precision irrigation control.
IRJET- Iot Based Intelligent Management for Agricultural Process using Ra...IRJET Journal
This document describes a proposed IoT-based system for intelligent agricultural management using Raspberry Pi. The system would combine wireless sensors with a Raspberry Pi and web server to automate irrigation and fertilizer spraying based on sensor readings. Sensors would monitor soil conditions like moisture and send data to a Raspberry Pi, which would control irrigation and spraying. Farmers could check sensor readings on a web server to know the field status and make informed decisions about watering and fertilizing without overdoing it, improving crop quality and resource efficiency. The system aims to reduce water waste and allow more accurate agricultural management than traditional practices.
A Survey on Agriculture Monitoring Using Wireless Sensor NetworkEditor IJCATR
Wireless sensor network is an autonomous network which consists of resource constraints sensor motes which are used
to capture various events of interest such as temperature, humidity and pressure. These networks are used in many areas like
agriculture monitoring, health care monitoring, forest fire monitoring, environmental monitoring etc. These networks are used to
monitor various agriculture products or various parameters in agriculture such as the quality of fruits, vegetables, the amount of
oxygen and nitrogen required. In this paper we aim to present the existence studies of wireless sensor networks which are used for
agriculture monitoring. We will explain in details the advantages and dis advantages of the existing studies and we present our own
analysis and conclusion.
Operation of Sensor Nodes for Smart Farming and Data Networking using Wireles...IRJET Journal
This document describes a proposed system for smart farming using wireless sensor networks. Key points:
- Sensor nodes would be deployed to monitor environmental parameters like temperature, humidity, and soil moisture.
- The sensor data would be transmitted wirelessly via technologies like Zigbee to a coordinator node.
- The coordinator node would convert the data to WiFi and send it to a web server where users could access it remotely via an online portal or mobile app.
- The system aims to automate irrigation and other farm operations based on sensor readings to optimize crop growth. This would reduce labor needs and allow remote monitoring of field conditions.
IRJET- Smart Agriculture System based on IoTIRJET Journal
This document proposes a smart agriculture system based on IoT. The key features include:
1. A smart GPS-based remote controlled robot that can perform tasks like weeding, spraying, moisture detection, and pest/animal deterrence.
2. An intelligent irrigation system with smart control based on real-time soil moisture data.
3. A smart warehouse management system that monitors temperature, humidity, and detects theft.
Sensors, WiFi/ZigBee modules, cameras, and actuators connected to microcontrollers and Raspberry Pi will automate and control these systems remotely through a mobile or web application. The goal is to modernize agriculture using automation and IoT technologies.
Review on microcontroller based monitoring system for agricultureIRJET Journal
This document describes a microcontroller-based monitoring system for agriculture. It consists of sensors to measure soil moisture, temperature, and humidity. The sensor readings are sent to a microcontroller and displayed on an LCD. They are also transmitted wirelessly to a computer. If the soil moisture exceeds a threshold, the computer will activate a relay to turn on a water pump, thereby automatically irrigating the field. The system aims to remotely monitor environmental conditions and automate irrigation to improve crop yields in a low-cost and simple way.
Automated Irrigation System using WSN and Wi-Fi ModuleIJERA Editor
The objective of the developed system is to encourage the efficient water management practices that optimize the usage of water by keeping the crop health and yield intact through the implementation of automated irrigation system. The microcontroller-based solution consists of distributed wireless network (WSN), base or control station and user interface. Each sensor node will have soil-moisture, temperature and humidity sensors placed in the farmland. These WSNs are powered by battery. Base station will collect the sensor information through the use of RF transceiver. An algorithm is developed to monitor soil-moisture and temperature to control the water volume depending upon the set threshold. Base station also sends the sensor information to remote database for logging through Wi-Fi interface. Web application is developed that enables the user for remote monitoring of data and control certain parameters like soil moisture threshold, manual override of water flow, etc.
A Review paper on wireless sensor network and GPRS module for automated irrig...IRJET Journal
This document reviews existing automated irrigation systems and proposes a new system using wireless sensor networks and GPRS modules. It discusses how existing systems using ARM processors, RF modules, and GSM have limitations like low transmission rates and security issues. The proposed system would have distributed wireless sensors to measure soil moisture and temperature around plant roots. The sensor data would be sent to a centralized node via a wireless network. This node would use GPRS communication to control irrigation based on the sensor readings. The system aims to optimize water use for crops using Internet of Things technology.
IRJET - Drip Irrigation in Agricultural Land through Android Mobile ApplicationIRJET Journal
This document summarizes research on using an Internet of Things (IoT) system with wireless sensors and an Android mobile application to monitor and control drip irrigation in agricultural fields. The system collects data on soil moisture, temperature, and other field conditions from sensors. It allows farmers to monitor their fields and irrigation systems from anywhere using their mobile phones. The collected data is stored in a database and used to automate irrigation based on sensor readings to optimize water usage and crop growth while reducing costs for farmers. The system is intended to help farmers increase productivity and yields through remote monitoring of field conditions and precision irrigation control.
IRJET- Iot Based Intelligent Management for Agricultural Process using Ra...IRJET Journal
This document describes a proposed IoT-based system for intelligent agricultural management using Raspberry Pi. The system would combine wireless sensors with a Raspberry Pi and web server to automate irrigation and fertilizer spraying based on sensor readings. Sensors would monitor soil conditions like moisture and send data to a Raspberry Pi, which would control irrigation and spraying. Farmers could check sensor readings on a web server to know the field status and make informed decisions about watering and fertilizing without overdoing it, improving crop quality and resource efficiency. The system aims to reduce water waste and allow more accurate agricultural management than traditional practices.
A Survey on Agriculture Monitoring Using Wireless Sensor NetworkEditor IJCATR
Wireless sensor network is an autonomous network which consists of resource constraints sensor motes which are used
to capture various events of interest such as temperature, humidity and pressure. These networks are used in many areas like
agriculture monitoring, health care monitoring, forest fire monitoring, environmental monitoring etc. These networks are used to
monitor various agriculture products or various parameters in agriculture such as the quality of fruits, vegetables, the amount of
oxygen and nitrogen required. In this paper we aim to present the existence studies of wireless sensor networks which are used for
agriculture monitoring. We will explain in details the advantages and dis advantages of the existing studies and we present our own
analysis and conclusion.
IRJET- Effective Crop Monitoring System for Smart Agriculture using WSNIRJET Journal
This document describes a wireless sensor network system to monitor crop fields and improve agricultural productivity. Sensors measure soil moisture, atmospheric pressure, and pH value, and transmit data via a master-slave network to a monitoring system. If sensor readings differ from thresholds, SMS alerts are sent to farmers. The system aims to reduce labor needs, provide timely suggestions, and increase crop yields through automated monitoring.
SENSOR BASED SMART IRRIGATION SYSTEM WITH MONITORING AND CONTROLLING USING IN...ijasa
This document presents a sensor-based smart irrigation system using IoT. The system uses soil moisture, temperature, and humidity sensors connected to a NodeMCU microcontroller. The sensor data is sent to a cloud server (ThingSpeak) and displayed as graphs on a website. A web page allows users to control a water pump remotely. The system was tested on a field over one day, recording sensor data and pump status in the morning, afternoon and night. Test results showed the pump turned on when soil moisture fell below a threshold and off when above a threshold, conserving water. The smart irrigation system allows remote monitoring and control to help farmers irrigate crops efficiently with minimal human effort or water waste.
An automated low cost IoT based Fertilizer Intimation System forsmart agricul...sakru naik
This document describes an IoT-based system to monitor soil nutrients and advise farmers on fertilizer use. It involves:
1. Designing a novel NPK sensor using colorimetric principles to detect nitrogen, phosphorus and potassium levels in soil samples. Sensor data is sent to a cloud database.
2. Applying fuzzy logic at the edge to analyze sensor data and determine nutrient deficiencies based on if-then rules. Levels are categorized as very low, low, medium, high or very high.
3. Sending automated SMS alerts to farmers on a regular basis recommending fertilizer quantities for different nutrient deficiencies as determined by the fuzzy system.
The system is intended to help farmers apply fertil
IRJET- IoT based System to Carry Out the Soil Tests to Determine Various Para...IRJET Journal
This document describes a proposed IoT-based system to test soil parameters on farms and determine appropriate crops. Sensors such as a pH sensor, temperature sensor, and humidity sensor would be placed in farmland to measure soil characteristics. The sensor values would be sent via WiFi to a field manager and mobile app to suggest suitable crops. The system aims to make soil testing portable and help farmers optimize crop yields by monitoring soil moisture, temperature, and pH and adjusting irrigation as needed based on real-time sensor data and crop requirements.
IRJET- Water Irrigation System using ArduinoIRJET Journal
This document describes a water irrigation system that uses an Arduino microcontroller board. The system uses soil moisture and temperature sensors to detect the water quantity in agricultural fields. It then uses the Arduino microcontroller to control the irrigation process. The goal is to automate irrigation to reduce water usage and optimize water supply for crops. Key components discussed include the Arduino UNO microcontroller, soil moisture sensors, water level sensors, and a water pump.
IRJET- A Bluetooth Based Automatic Irrigation SystemIRJET Journal
This document describes the design of a Bluetooth-based automatic irrigation system. It uses sensors like soil moisture, humidity, water level, and light intensity sensors connected to an Arduino board to monitor the field conditions. Based on the sensor readings, the Arduino can turn the motor and sprinklers on or off via a relay. The system status is displayed on an LCD and also sent as alerts to the farmer's smartphone via Bluetooth. The document discusses existing automatic irrigation systems, the proposed system design including a block diagram and Proteus simulation, and concludes the Bluetooth-based system is low-cost, efficient and helps reduce farmer workload.
The document describes a crowd management system that uses an ad-hoc wireless sensor network to monitor crowds and environments at large gatherings. The system aims to be scalable, portable, and require minimal configuration. Network motes deployed at entrances and exits log environmental data and route it to a base station over an efficient store-and-forward protocol. Each mote contains sensors to detect movement and environment and plugs into sensor boards. Trip switches at doors count entries and exits by detecting light beam breaks to determine people counts sent to a server. Issues in setting up the ad-hoc network include collisions, time synchronization, and interference, which networking algorithms aim to address.
This document discusses a proposed smart farming system using IoT that allows remote monitoring of farms. Sensors would monitor soil moisture, temperature, humidity and other field conditions. If conditions drop below thresholds, a raspberry pi control unit would automatically activate water pumps via a relay module to irrigate the fields. Farmers could also control irrigation manually via a mobile app. The system aims to optimize water usage, increase crop yields, and allow farmers to remotely monitor field conditions through an automated and intelligent irrigation process.
Analysis of Soil Parameters in Agriculture Field using IOTIRJET Journal
This document proposes a system to analyze soil parameters in agriculture fields using IoT. The system uses sensors to measure soil moisture, temperature, and humidity. It includes an Arduino microcontroller, WiFi module, GSM module, and sensors. Sensor data is sent to the cloud and to a user's phone via SMS. The system automatically turns on a motor if the soil becomes dry to irrigate the field based on readings from the soil moisture sensor. Charts of sensor data over time are displayed in the cloud for monitoring and analysis. The system is intended to help farmers efficiently manage their fields and irrigation remotely using IoT technologies.
Smart system monitoring on soil using internet of things (IOT)IRJET Journal
This document describes a smart system for monitoring soil conditions using sensors and the Internet of Things (IoT). Sensors placed in agricultural land would measure the soil's pH rate, temperature, and moisture levels. This data would be sent to the cloud and then relayed to registered farmers via their mobile devices. The system aims to reduce farmers' workload by automatically monitoring soil and alerting them to abnormalities. It could also recommend pesticides to improve cultivation based on pH readings. The system is designed to help farmers better manage their land even from a distance through IoT-connected soil monitoring and analytics.
IRJET- Soil, Water and Air Quality Monitoring System using IoTIRJET Journal
This document summarizes a research paper on developing a soil, water, and air quality monitoring system using IoT technologies. Sensors are used to measure various parameters of soil, water, and air quality, including pH, moisture, temperature, turbidity, and nutrients. The sensor data is sent to a Raspberry Pi controller and then uploaded to the cloud. If measurements are abnormal, an alert message is sent. The system aims to help farmers and users monitor natural resource quality and make informed decisions. Future work could include using machine learning to analyze trends and make crop recommendations based on sensor readings.
Artificial Intelligence in Power Saving & GamesIRJET Journal
This document provides an overview of massive MIMO technology and discusses challenges such as pilot contamination. It describes two random access protocols - PRACH and SUCR - that aim to resolve collisions between user equipment accessing the network. The SUCR protocol improves on PRACH by having the base station detect collisions and allowing only the UE with the strongest signal gain to retransmit its pilot. However, the SUCR protocol fails if no single UE identifies itself as the winner and is only 90% effective. The document proposes ways to improve the protocol's efficiency such as increasing the receiving antenna power gain or decreasing interference between cells.
IRJET- Advanced Guiding Tool for the Selection of CropsIRJET Journal
This document describes an advanced guiding tool to help farmers select appropriate crops. It uses sensors to monitor soil characteristics and environmental conditions. The sensor data is sent to a Node MCU microcontroller and stored in the cloud. Farmers can access this historical data using wireless devices to determine which crops are best suited for their land based on the soil and climate conditions. This system improves upon previous agriculture monitoring systems by not only monitoring crop growth but also collecting and storing sensor data in the cloud. This stored data can then be used to advise farmers on optimal crop selection.
AUTOMATED IRRIGATION SYSTEM USING ARM CONTROLLER & GPRS MODULEijiert bestjournal
This project probes into the design of the automa ted irrigation system based on ARM controller. This Embedded project is to design and develop a low cost feature which is based on embedded platform for water irrigation syst em. This project uses temperature and soil moisture sensors to detect the water quantity present in agriculture. The project uses ARM micro controller which is controller to process the information. The aim of our embedded project is to monitor status of the sensors on remote PC through a web page. The system has a Distributed wire less network of temperature and soil moisture sensors can be monitored on web page through Arm controller. In addition,a gatewa y unit handles sensor information,triggers actuators,and transmits data to a web applic ation. The web-servers connected to Internet. The system was pow ered by photovoltaic pane ls and had a duplex communication link based on a Cellular-Internet interface that allowed for data inspection and Irrigation scheduling to be programmed through a web page. The owner on the PC is also connected to same Internet. By typing the IP-a ddress on the web browser,the owner gets a web page on screen. This page contains all the informa tion about the status of the sensors or else the owner can also monitor the results through mobile if the mobile has internet facility. Because of its energy autonomy and low cost,the system has the potential to be us eful in water limited geographically isolated areas.
Dr. N. Sai Bhaskar Reddy gave a lecture on sensors for agriculture and water management. He discussed how automation using sensors can help overcome challenges with manual data collection. Sensors can monitor canal networks, irrigation schedules, on-farm conditions and help with decision making. This allows for optimizing water use efficiency and management across agriculture and irrigation. Sensors discussed include pressure, staff gauges, bubblers, Doppler, ultrasonic and radar sensors to non-invasively measure water levels. Proper sensor selection and installation is important for reliable data collection and flow to decision support systems.
Wireless sensor network for monitoring irrigation using XBee Pro S2CjournalBEEI
Monitoring irrigation is still the problem of agriculture in Indonesia. During the dry season, the farming fields drought while in the rainy season, floods happened. Since the farm-fields located far from the urban area, it requires an automatic tool for monitoring the availability of water that can help the farmer to monitor the farm-field. Wireless sensor network is an appropriate technology used to overcome problems related to the monitoring system. This research is using a water level sensor, pump, Arduino Nano, and XBee Pro S2C in each monitoring node. The system designed within two modules, an automation irrigation module and a monitoring module, which is connected with the communication configuration of master-slaves between Xbee Pro S2C at each node. The system examined several scenarios in order to test the performance. Based on the testing result, all the performance parameters can be adequately delivered to the user and appropriated with the real condition in the farm field. The delay between nodes only takes 5-10 seconds.
IRJET- IoT based Automated Green House Monitoring and Control SystemIRJET Journal
This document describes an IoT-based system for monitoring environmental parameters like temperature, humidity, and soil moisture inside a greenhouse using sensors, and controlling devices like pumps, fans, and sprayers automatically using a microcontroller based on the sensor readings to maintain optimal growing conditions. A robotic vehicle equipped with sensors moves around the greenhouse collecting data and environmental images that are sent to a user's mobile device via an IoT cloud connection to allow remote monitoring and control of the greenhouse parameters from anywhere. The system aims to optimize greenhouse management by automating monitoring and control tasks to reduce labor and improve crop yields.
Implementation of agricultural automation system using web & gsm technolo...eSAT Journals
Abstract
This project probes into the implementation of agricultural automation system using WEB and GSM technologies. This Embedded project is to design and develop a low cost system which is based on embedded platform for agricultural automation. Optimum usage of water is main objective of this system. This project uses soil moisture sensor and temperature sensor to detect the water quantity present in agriculture and water level sensor is used for detecting water level in tank. In this system we monitor status of the sensors through WEB and GSM technologies. Here temperature, soil moisture and water level can be monitored on web page through micro controller and information will be send by SMS. This page contains all the information about the status of the sensors. This information will be viewed at remote location by using GPRS technology. Key words: WEB and GSM technologies, Embedded platform, Soil moisture sensor, Temperature sensor.
IRJET- AIMS: Automatic Irrigation Monitoring System using WSNIRJET Journal
The document describes an automatic irrigation monitoring system using a wireless sensor network. It aims to minimize water wastage in irrigation by continuously monitoring soil moisture and temperature and supplying water only as needed to different areas of a field. Sensor nodes placed throughout the field will measure soil parameters and send data via WiFi to a central valve controlling node. If the soil is dry, the node will signal the controller to open the relevant valve and supply water. This system allows for more precise watering than traditional methods and reduces both water and labor costs for farmers.
IRJET- Machine Learning System on Plant Growth using AquacultureIRJET Journal
This document describes a machine learning system that automatically controls a drip irrigation system for plant growth using sensors. The system measures water level in an evaporation pan using a water level sensor. It also measures environmental factors like temperature, humidity and pressure using additional sensors. A microcontroller calculates the irrigation time based on the rate of water level decrease in the pan. Solenoid valves are controlled to initiate irrigation. A GSM/GPRS module connects the system to the cloud to upload sensor data and system status. An accompanying Android app allows remote monitoring of the system status. The system has been tested on a strawberry field greenhouse for 4 months with promising results for efficiently managing irrigation.
IRJET- IoT based Smart Greenhouse Automation SystemIRJET Journal
This document describes an IoT-based smart greenhouse automation system that monitors and controls the greenhouse environment. Sensors measure temperature, humidity, light, pH, and soil moisture. A microcontroller collects the sensor data and sends it to an Android application via cloud computing. The application allows farmers to remotely monitor parameters and control actuators like heaters, fans, and pumps to maintain optimal conditions. The system aims to automate greenhouse monitoring and control to maximize crop yields, reduce costs, and allow remote operation.
An IOT Based Smart Irrigation System Using Soil Moisture And Weather PredictionJose Katab
This document presents a smart irrigation system using soil moisture sensors, weather data, and an IoT approach. The system aims to optimize water usage through automated irrigation control based on real-time sensor measurements and weather predictions. Soil moisture and environmental condition data is collected using sensors and sent wirelessly to a server. A prediction algorithm analyzes the sensor data along with weather forecasts to determine irrigation needs. The system was deployed on a pilot scale and initial results found the prediction algorithm to have improved accuracy and less error compared to traditional approaches. The smart irrigation system has potential to help farmers better manage water resources through precision agriculture.
IRJET- Effective Crop Monitoring System for Smart Agriculture using WSNIRJET Journal
This document describes a wireless sensor network system to monitor crop fields and improve agricultural productivity. Sensors measure soil moisture, atmospheric pressure, and pH value, and transmit data via a master-slave network to a monitoring system. If sensor readings differ from thresholds, SMS alerts are sent to farmers. The system aims to reduce labor needs, provide timely suggestions, and increase crop yields through automated monitoring.
SENSOR BASED SMART IRRIGATION SYSTEM WITH MONITORING AND CONTROLLING USING IN...ijasa
This document presents a sensor-based smart irrigation system using IoT. The system uses soil moisture, temperature, and humidity sensors connected to a NodeMCU microcontroller. The sensor data is sent to a cloud server (ThingSpeak) and displayed as graphs on a website. A web page allows users to control a water pump remotely. The system was tested on a field over one day, recording sensor data and pump status in the morning, afternoon and night. Test results showed the pump turned on when soil moisture fell below a threshold and off when above a threshold, conserving water. The smart irrigation system allows remote monitoring and control to help farmers irrigate crops efficiently with minimal human effort or water waste.
An automated low cost IoT based Fertilizer Intimation System forsmart agricul...sakru naik
This document describes an IoT-based system to monitor soil nutrients and advise farmers on fertilizer use. It involves:
1. Designing a novel NPK sensor using colorimetric principles to detect nitrogen, phosphorus and potassium levels in soil samples. Sensor data is sent to a cloud database.
2. Applying fuzzy logic at the edge to analyze sensor data and determine nutrient deficiencies based on if-then rules. Levels are categorized as very low, low, medium, high or very high.
3. Sending automated SMS alerts to farmers on a regular basis recommending fertilizer quantities for different nutrient deficiencies as determined by the fuzzy system.
The system is intended to help farmers apply fertil
IRJET- IoT based System to Carry Out the Soil Tests to Determine Various Para...IRJET Journal
This document describes a proposed IoT-based system to test soil parameters on farms and determine appropriate crops. Sensors such as a pH sensor, temperature sensor, and humidity sensor would be placed in farmland to measure soil characteristics. The sensor values would be sent via WiFi to a field manager and mobile app to suggest suitable crops. The system aims to make soil testing portable and help farmers optimize crop yields by monitoring soil moisture, temperature, and pH and adjusting irrigation as needed based on real-time sensor data and crop requirements.
IRJET- Water Irrigation System using ArduinoIRJET Journal
This document describes a water irrigation system that uses an Arduino microcontroller board. The system uses soil moisture and temperature sensors to detect the water quantity in agricultural fields. It then uses the Arduino microcontroller to control the irrigation process. The goal is to automate irrigation to reduce water usage and optimize water supply for crops. Key components discussed include the Arduino UNO microcontroller, soil moisture sensors, water level sensors, and a water pump.
IRJET- A Bluetooth Based Automatic Irrigation SystemIRJET Journal
This document describes the design of a Bluetooth-based automatic irrigation system. It uses sensors like soil moisture, humidity, water level, and light intensity sensors connected to an Arduino board to monitor the field conditions. Based on the sensor readings, the Arduino can turn the motor and sprinklers on or off via a relay. The system status is displayed on an LCD and also sent as alerts to the farmer's smartphone via Bluetooth. The document discusses existing automatic irrigation systems, the proposed system design including a block diagram and Proteus simulation, and concludes the Bluetooth-based system is low-cost, efficient and helps reduce farmer workload.
The document describes a crowd management system that uses an ad-hoc wireless sensor network to monitor crowds and environments at large gatherings. The system aims to be scalable, portable, and require minimal configuration. Network motes deployed at entrances and exits log environmental data and route it to a base station over an efficient store-and-forward protocol. Each mote contains sensors to detect movement and environment and plugs into sensor boards. Trip switches at doors count entries and exits by detecting light beam breaks to determine people counts sent to a server. Issues in setting up the ad-hoc network include collisions, time synchronization, and interference, which networking algorithms aim to address.
This document discusses a proposed smart farming system using IoT that allows remote monitoring of farms. Sensors would monitor soil moisture, temperature, humidity and other field conditions. If conditions drop below thresholds, a raspberry pi control unit would automatically activate water pumps via a relay module to irrigate the fields. Farmers could also control irrigation manually via a mobile app. The system aims to optimize water usage, increase crop yields, and allow farmers to remotely monitor field conditions through an automated and intelligent irrigation process.
Analysis of Soil Parameters in Agriculture Field using IOTIRJET Journal
This document proposes a system to analyze soil parameters in agriculture fields using IoT. The system uses sensors to measure soil moisture, temperature, and humidity. It includes an Arduino microcontroller, WiFi module, GSM module, and sensors. Sensor data is sent to the cloud and to a user's phone via SMS. The system automatically turns on a motor if the soil becomes dry to irrigate the field based on readings from the soil moisture sensor. Charts of sensor data over time are displayed in the cloud for monitoring and analysis. The system is intended to help farmers efficiently manage their fields and irrigation remotely using IoT technologies.
Smart system monitoring on soil using internet of things (IOT)IRJET Journal
This document describes a smart system for monitoring soil conditions using sensors and the Internet of Things (IoT). Sensors placed in agricultural land would measure the soil's pH rate, temperature, and moisture levels. This data would be sent to the cloud and then relayed to registered farmers via their mobile devices. The system aims to reduce farmers' workload by automatically monitoring soil and alerting them to abnormalities. It could also recommend pesticides to improve cultivation based on pH readings. The system is designed to help farmers better manage their land even from a distance through IoT-connected soil monitoring and analytics.
IRJET- Soil, Water and Air Quality Monitoring System using IoTIRJET Journal
This document summarizes a research paper on developing a soil, water, and air quality monitoring system using IoT technologies. Sensors are used to measure various parameters of soil, water, and air quality, including pH, moisture, temperature, turbidity, and nutrients. The sensor data is sent to a Raspberry Pi controller and then uploaded to the cloud. If measurements are abnormal, an alert message is sent. The system aims to help farmers and users monitor natural resource quality and make informed decisions. Future work could include using machine learning to analyze trends and make crop recommendations based on sensor readings.
Artificial Intelligence in Power Saving & GamesIRJET Journal
This document provides an overview of massive MIMO technology and discusses challenges such as pilot contamination. It describes two random access protocols - PRACH and SUCR - that aim to resolve collisions between user equipment accessing the network. The SUCR protocol improves on PRACH by having the base station detect collisions and allowing only the UE with the strongest signal gain to retransmit its pilot. However, the SUCR protocol fails if no single UE identifies itself as the winner and is only 90% effective. The document proposes ways to improve the protocol's efficiency such as increasing the receiving antenna power gain or decreasing interference between cells.
IRJET- Advanced Guiding Tool for the Selection of CropsIRJET Journal
This document describes an advanced guiding tool to help farmers select appropriate crops. It uses sensors to monitor soil characteristics and environmental conditions. The sensor data is sent to a Node MCU microcontroller and stored in the cloud. Farmers can access this historical data using wireless devices to determine which crops are best suited for their land based on the soil and climate conditions. This system improves upon previous agriculture monitoring systems by not only monitoring crop growth but also collecting and storing sensor data in the cloud. This stored data can then be used to advise farmers on optimal crop selection.
AUTOMATED IRRIGATION SYSTEM USING ARM CONTROLLER & GPRS MODULEijiert bestjournal
This project probes into the design of the automa ted irrigation system based on ARM controller. This Embedded project is to design and develop a low cost feature which is based on embedded platform for water irrigation syst em. This project uses temperature and soil moisture sensors to detect the water quantity present in agriculture. The project uses ARM micro controller which is controller to process the information. The aim of our embedded project is to monitor status of the sensors on remote PC through a web page. The system has a Distributed wire less network of temperature and soil moisture sensors can be monitored on web page through Arm controller. In addition,a gatewa y unit handles sensor information,triggers actuators,and transmits data to a web applic ation. The web-servers connected to Internet. The system was pow ered by photovoltaic pane ls and had a duplex communication link based on a Cellular-Internet interface that allowed for data inspection and Irrigation scheduling to be programmed through a web page. The owner on the PC is also connected to same Internet. By typing the IP-a ddress on the web browser,the owner gets a web page on screen. This page contains all the informa tion about the status of the sensors or else the owner can also monitor the results through mobile if the mobile has internet facility. Because of its energy autonomy and low cost,the system has the potential to be us eful in water limited geographically isolated areas.
Dr. N. Sai Bhaskar Reddy gave a lecture on sensors for agriculture and water management. He discussed how automation using sensors can help overcome challenges with manual data collection. Sensors can monitor canal networks, irrigation schedules, on-farm conditions and help with decision making. This allows for optimizing water use efficiency and management across agriculture and irrigation. Sensors discussed include pressure, staff gauges, bubblers, Doppler, ultrasonic and radar sensors to non-invasively measure water levels. Proper sensor selection and installation is important for reliable data collection and flow to decision support systems.
Wireless sensor network for monitoring irrigation using XBee Pro S2CjournalBEEI
Monitoring irrigation is still the problem of agriculture in Indonesia. During the dry season, the farming fields drought while in the rainy season, floods happened. Since the farm-fields located far from the urban area, it requires an automatic tool for monitoring the availability of water that can help the farmer to monitor the farm-field. Wireless sensor network is an appropriate technology used to overcome problems related to the monitoring system. This research is using a water level sensor, pump, Arduino Nano, and XBee Pro S2C in each monitoring node. The system designed within two modules, an automation irrigation module and a monitoring module, which is connected with the communication configuration of master-slaves between Xbee Pro S2C at each node. The system examined several scenarios in order to test the performance. Based on the testing result, all the performance parameters can be adequately delivered to the user and appropriated with the real condition in the farm field. The delay between nodes only takes 5-10 seconds.
IRJET- IoT based Automated Green House Monitoring and Control SystemIRJET Journal
This document describes an IoT-based system for monitoring environmental parameters like temperature, humidity, and soil moisture inside a greenhouse using sensors, and controlling devices like pumps, fans, and sprayers automatically using a microcontroller based on the sensor readings to maintain optimal growing conditions. A robotic vehicle equipped with sensors moves around the greenhouse collecting data and environmental images that are sent to a user's mobile device via an IoT cloud connection to allow remote monitoring and control of the greenhouse parameters from anywhere. The system aims to optimize greenhouse management by automating monitoring and control tasks to reduce labor and improve crop yields.
Implementation of agricultural automation system using web & gsm technolo...eSAT Journals
Abstract
This project probes into the implementation of agricultural automation system using WEB and GSM technologies. This Embedded project is to design and develop a low cost system which is based on embedded platform for agricultural automation. Optimum usage of water is main objective of this system. This project uses soil moisture sensor and temperature sensor to detect the water quantity present in agriculture and water level sensor is used for detecting water level in tank. In this system we monitor status of the sensors through WEB and GSM technologies. Here temperature, soil moisture and water level can be monitored on web page through micro controller and information will be send by SMS. This page contains all the information about the status of the sensors. This information will be viewed at remote location by using GPRS technology. Key words: WEB and GSM technologies, Embedded platform, Soil moisture sensor, Temperature sensor.
IRJET- AIMS: Automatic Irrigation Monitoring System using WSNIRJET Journal
The document describes an automatic irrigation monitoring system using a wireless sensor network. It aims to minimize water wastage in irrigation by continuously monitoring soil moisture and temperature and supplying water only as needed to different areas of a field. Sensor nodes placed throughout the field will measure soil parameters and send data via WiFi to a central valve controlling node. If the soil is dry, the node will signal the controller to open the relevant valve and supply water. This system allows for more precise watering than traditional methods and reduces both water and labor costs for farmers.
IRJET- Machine Learning System on Plant Growth using AquacultureIRJET Journal
This document describes a machine learning system that automatically controls a drip irrigation system for plant growth using sensors. The system measures water level in an evaporation pan using a water level sensor. It also measures environmental factors like temperature, humidity and pressure using additional sensors. A microcontroller calculates the irrigation time based on the rate of water level decrease in the pan. Solenoid valves are controlled to initiate irrigation. A GSM/GPRS module connects the system to the cloud to upload sensor data and system status. An accompanying Android app allows remote monitoring of the system status. The system has been tested on a strawberry field greenhouse for 4 months with promising results for efficiently managing irrigation.
IRJET- IoT based Smart Greenhouse Automation SystemIRJET Journal
This document describes an IoT-based smart greenhouse automation system that monitors and controls the greenhouse environment. Sensors measure temperature, humidity, light, pH, and soil moisture. A microcontroller collects the sensor data and sends it to an Android application via cloud computing. The application allows farmers to remotely monitor parameters and control actuators like heaters, fans, and pumps to maintain optimal conditions. The system aims to automate greenhouse monitoring and control to maximize crop yields, reduce costs, and allow remote operation.
An IOT Based Smart Irrigation System Using Soil Moisture And Weather PredictionJose Katab
This document presents a smart irrigation system using soil moisture sensors, weather data, and an IoT approach. The system aims to optimize water usage through automated irrigation control based on real-time sensor measurements and weather predictions. Soil moisture and environmental condition data is collected using sensors and sent wirelessly to a server. A prediction algorithm analyzes the sensor data along with weather forecasts to determine irrigation needs. The system was deployed on a pilot scale and initial results found the prediction algorithm to have improved accuracy and less error compared to traditional approaches. The smart irrigation system has potential to help farmers better manage water resources through precision agriculture.
IRJET - Automatic Plant Watering System using NodeMCUIRJET Journal
1) The document describes an automatic plant watering system that uses sensors and NodeMCU to monitor environmental conditions and water plants automatically.
2) The system collects data on temperature, humidity, and soil moisture and sends it to an Android application and the cloud to allow monitoring from anywhere.
3) It aims to make gardening easier by automating watering based on sensor readings so plants get the right amount of water when needed.
IRJET- IoT based Smart Irrigation System for Precision AgricultureIRJET Journal
This document describes an Internet of Things (IoT) based smart irrigation system for precision agriculture. The system uses sensors to monitor soil moisture, temperature, and other conditions in crop fields. Sensor data is collected by edge computing devices and sent to the cloud for analysis. The cloud analyzes current and historical sensor data to determine irrigation and other responses. This precision agriculture approach aims to increase food production while reducing water usage through automated, data-driven management of irrigation and other field activities. The system is meant to provide farmers with real-time field conditions and 10-day forecasts to help optimize decisions around cultivation, harvesting, irrigation, and fertilization.
Precision Agriculture Based on Wireless Sensor NetworkIJLT EMAS
Satellite farming or precision agriculture is a concept
based on measurement, observations and response to the inter
and intra farm variations in the crops. The growth and
advancements in wireless sensor network (WSN) technology has
directed agriculture sector into a new trend of smart agriculture.
WSN technology provides processing of real time data from field.
This is obtained through the sensors which are physically
deployed into the fields. These smart agriculture approaches by
the help of WSN reduces wastage of resources in farming unlike
the conventional practice, and contribute in effectively utilizing
the necessary resources resulting in increased crop yields. In this
paper wireless agriculture and environment sensing system for
crop monitoring is presented. The system test is implemented
using the real time agricultural data and from the historical data.
The system precisely acquires data and the information from the
environment.
Precision Agriculture for Water Management Using IOTrahulmonikasharma
In the territory of agriculture, proper use of irrigation is important and it is well known that irrigation by drip approach is very cost effective and efficient.Role of agriculture in the development of agricultural country is very important. The freshly come up wireless sensor network (WSN) technology has growing rapidly into distinct multi-disciplinary fields. Agriculture and farming is one of the management which have freshly switch their consideration to WSN, curious this cost adequate technology to improve its production and boost agriculture yield definitive. The outlook of this paper is to design and develop an agricultural monitoring system using wireless sensor network and IOT to enlarge the productivity and quality of farming without penetrating it for all the time manually. Temperature, humidity and water levels are the most important circumstances for the productivity, growth, and quality of plants in agriculture. The temperature, humidity and water level sensors are set up to cluster the temperature and humidity values. One of the most stimulating fields having an exotic need of decision support systems is Precision Agriculture (PA). Through sensor networks, agriculture can be associated to the IoT, with the help of this approach which provides real-time information about the lands and crops that will help farmers make right decisions. The primary influence is implementation of WSN in Precision Agriculture (PA) with the help of IoT which will enhance the usage of water, fertilizers while expand the yield of the crops and also notifications are sent to farmers mobile periodically. The farmers can able to monitor the field conditions from anywhere.
This document discusses the development of a cloud-based automatic irrigation system using IoT. It begins with an introduction explaining the need for more efficient irrigation methods due to increasing population and climate change. It then reviews existing automated irrigation systems that typically use soil moisture sensors and weather data. The proposed system would use a water level sensor in an evaporation pan to estimate soil moisture loss and trigger irrigation through solenoid valves. Sensor data and system status would be sent to the cloud for remote monitoring via an Android app. This allows irrigation to be controlled automatically based on pan water levels while avoiding manual monitoring.
IoT based Digital Agriculture Monitoring System and Their Impact on Optimal U...Journal For Research
Although precision agriculture has been adopted in few countries, the greenhouse based modern agriculture industry in India still needs to be modernized with the involvement of technology for better production and cost control. In this paper we proposed a multifunction model for smart agriculture based on IoT. Due to variable atmospheric circumstances these conditions sometimes may vary from place to place in large farmhouse, which makes very difficult to maintain the uniform condition at all the places in the farmhouse manually. Soil and environment properties are sensed and periodically sent to cloud network through IoT. Analysis on cloud data is done for water requirement, total production and maintaining uniform environment conditions throughout greenhouse farm. Proposed model is beneficial for increase in agricultural production and for cost control and real time monitoring of farm.
IRJET- Review Paper on Agricultural Drought and Crop Failure Data Acquisi...IRJET Journal
This document reviews a proposed system for agricultural drought and crop failure data acquisition and transmission using IoT. The key points are:
1. The system would use sensors like soil moisture, humidity, and temperature sensors connected to a PIC microcontroller to collect field data and compare it to weather forecasts to detect drought and potential crop failures.
2. The data would be transmitted wirelessly via an ESP8266 WiFi module. This would allow automatic monitoring of fields and alerts to farmers about issues that require attention.
3. Implementing such a smart agriculture system using IoT technologies could help optimize resource use, increase yields, and minimize the impacts of climate change on agricultural production.
IRJET- Smart Agriculture System using Thingspeak and Mobile NotificationIRJET Journal
This document describes a smart agriculture system using IoT technologies like sensors, microcontrollers, and cloud platforms. The system aims to automate agricultural tasks and monitor field conditions in real-time to improve crop yields. Sensors would measure soil properties like moisture and send data to a microcontroller. The microcontroller analyzes the data and controls automated tasks like irrigation and pesticide spraying as needed. It also sends data to the cloud for remote monitoring on mobile devices. The system aims to address issues farmers face at different stages of cultivation through automation and real-time adaptive management based on sensor data.
IoT-based smart irrigation management system using real-time dataIJECEIAES
An adequate water supply is essential for the growth and development of crops. When rainfall is insufficient, irrigation is necessary to meet crop water needs. It is a crucial and strategic aspect of economic and social development. To combat climate change, there is a need to adopt irrigation management techniques that increase and stabilize agricultural production while saving water, using intelligent agricultural water technologies. Internet of things (IoT) based technologies can achieve optimal use of water resources. This article introduces a smart realtime irrigation management system based on the internet of things. It provides optimal management of irrigation decisions using real-time weather and soil moisture data, as well as data from precipitation forecasts. The proposed algorithm is developed in real-time based on the IoT, enabling us to guide irrigation and control the amount of water in agricultural applications. The system uses real-time data analysis of climate, soil, and crop data to provide flexible planning of the irrigation system’s use. A case study from the Fez-Meknes region in Morocco is presented to demonstrate the proposed system’s effectiveness
This document describes a smart and live agriculture system using IoT technologies. It measures various agricultural parameters like temperature, soil moisture, etc. using sensors and transmits the data wirelessly via NodeMCU to a cloud platform called ThingSpeak. ThingSpeak allows analyzing and visualizing the sensor data. The system then uses the analyzed data to make decisions about irrigation. It aims to optimize water usage, increase crop yields, and allow farmers to monitor fields remotely through a mobile app in real-time. The system could help address issues in agriculture like water scarcity and increase food production to meet growing demand.
IRJET- Software Sensor for Potable Water Quality through Qualitative and ...IRJET Journal
This document describes a software-based water quality monitoring system using sensors and the Internet of Things (IoT). The system aims to remotely monitor water quality parameters like pH levels and gas concentration in real-time to detect pollution. Sensors placed in overhead water tanks measure these parameters and send the data via a microcontroller and GSM module to an online database. Users can access this data through a webpage to monitor water quality without manual checks. The system seeks to efficiently manage water resources and ensure a continuous supply of clean water by enabling automatic real-time pollution detection and alerts.
A Survey on Smart DRIP Irrigation SystemIRJET Journal
This document summarizes a survey on a proposed smart drip irrigation system. The key points are:
1) The proposed system uses sensors to monitor soil conditions and weather. It sends this data to an Android app via a base station to allow remote control and monitoring of the irrigation system.
2) The smart system aims to automate irrigation based on environmental conditions rather than schedules, reducing water use and increasing crop yields.
3) Researchers believe this Internet of Things approach could make irrigation more efficient and beneficial for farmers by allowing remote control from any location.
1. The document describes a smart irrigation system that uses IoT technology to optimize water usage for agriculture. It uses soil moisture sensors to detect moisture levels and an ESP8266 WiFi module to control a submersible water pump remotely via an Android app. This allows watering based on crop needs and avoids wasting water.
2. The system was implemented using an ESP8266 WiFi module, soil moisture sensor, relay, and submersible water pump. The sensor detects moisture and sends data to the ESP8266 module, which controls the pump via the relay. Farmers can monitor soil moisture and operate the pump remotely using the Android app.
3. This smart irrigation system saves both water and labor compared
The document discusses the development of a smart agriculture system using IoT. Various sensors are used to collect environmental data like soil moisture, temperature, and humidity. The data is sent to a Raspberry Pi gateway and then stored on the cloud. Farmers can monitor the data through a mobile app. If the soil moisture is low, farmers are notified and can turn on motors to supply water. When moisture levels are adequate, they can turn off the motors. The system aims to increase crop yields while reducing water usage.
This document proposes a soilless cultivation system using IoT. Sensors would monitor the pH level and temperature of the water in hydroponic cultivation. If the pH is unsuitable or temperature is too high/low, it would trigger a notification to the user via their Android device. This system aims to address issues with conventional agriculture like lack of land and optimize resource use by automating environmental monitoring and control with IoT sensors. The proposed system seeks to implement real-time hydroponic cultivation and provide an easy-to-use mobile app interface to improve on existing prototype systems.
Automated Watering and Irrigation System Using IoTIRJET Journal
This document summarizes an automated watering and irrigation system using IoT. The proposed system is designed with soil moisture sensors, a microcontroller, and connectivity to an IoT environment. It aims to provide optimal water for crop growth while minimizing waste by automating the irrigation process. The system senses soil moisture levels and only turns on water pumps when the soil is dry. Test results show the system can accurately determine moisture levels and control irrigation accordingly. The automated design reduces human intervention in irrigation and allows remote monitoring via IoT, helping improve water efficiency and crop yields.
Crop Prediction using IoT & Machine Learning AlgorithmIRJET Journal
This document describes a proposed system for crop prediction using IoT sensors and machine learning algorithms. Soil moisture, temperature, humidity, light, and rainfall data would be collected from sensors and sent to a server using an Arduino, NodeMCU, and IoT technology. The data would be stored in a MongoDB database and analyzed using machine learning algorithms like decision trees and random forests. The models would be trained to predict the optimal crop to plant based on the environmental conditions. A GUI would display the predicted crop recommendations to farmers based on real-time sensor readings or historical area data, helping farmers increase crop yields through informed decision making. The system aims to improve agricultural output and profits using IoT, machine learning, and predictive analytics
This document describes an IoT-based smart farming system that uses sensors to monitor soil moisture, temperature, humidity and light intensity in order to more efficiently irrigate crops and optimize growing conditions. The system includes sensors connected to a microcontroller that collects environmental data and controls actuators like pumps and lights. If sensor readings exceed thresholds, actions are taken automatically to maintain optimal moisture, temperature and light levels. This smart farming approach aims to increase crop yields while reducing water and resource waste compared to traditional farming methods.
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TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.