This document describes a proposed mobile app for e-farming using an Internet of Things (IOT) based decision support system for irrigation (DSSI) algorithm. The system would use soil moisture, temperature, and humidity sensors to collect environmental data and monitor crop conditions. The sensor data would be sent to a web panel via IOT and the DSSI algorithm would activate or deactivate irrigation accordingly. The goal is to help farmers remotely monitor fields and automate irrigation for optimal crop yields using precision agriculture techniques with IOT.
This document describes a proposed IOT-based smart poultry farm system that aims to automate feeding, temperature control, and gas reduction processes. The system would use sensors to monitor environmental parameters and control devices like a food feeder, water sprinkler, and soil mixer. It could allow farmers to remotely monitor and control operations through a mobile app. This would help reduce labor costs and human errors while improving animal welfare and production efficiency compared to manual farming methods. The proposed system architecture involves an Arduino board controlling devices based on input from sensors to automate key tasks like feeding chickens on schedule, maintaining optimal temperatures, and reducing gases through soil mixing.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This document describes an IoT-based agricultural system that monitors soil moisture levels and automates irrigation. The system uses soil moisture sensors to measure moisture levels and a microcontroller to control a submersible pump based on the sensor readings, irrigating only when moisture levels drop below a threshold. Farmers can monitor soil moisture levels and irrigation status remotely through a WiFi module and online dashboard. The system aims to optimize water usage for irrigation and maximize crop yields through precision agriculture techniques enabled by IoT technologies.
India, whose GDP depends on the agriculture is not a developed nation in terms of modernization in agriculture. The high cost of labor, uncertainty in the production of crops, lack of knowledge about new methods, continuing with the same orthodox and traditional means to go about agriculture, the inefficient use of proper irrigational facilities results in low productivity. Due to this uncertainty in the irrigation process the crops may also dry up. About 14.7% of India’s growth depends on the agricultural sector, so it’s a huge cause of concern.
With this project, the current problems related to farming are solved and practically implemented solutions are provided. Using IOT as well as GSM, a whole new concept of farming using networks is introduced reducing labor, updating farmer about the live conditions of farm on the mobile devices and presenting its graphical value using thing speak. It makes the process handy with the click a button reformation.
We evaluate the performance of our method in a simple temperature sensing application. In terms of reducing human efforts and ease of irrigation, our approach has been observed to outperform the existing conventional approach. We bring out the advantages and disadvantages followed by their applications. The paper concludes the work open for research.
IRJET- IoT Enabled Precision Crop Field Monitoring SystemIRJET Journal
This document describes an IoT-enabled precision crop field monitoring system. Sensors are used to monitor soil moisture levels and temperature in agricultural fields. If temperature or moisture levels exceed thresholds, farmers are alerted via text message or phone call. Data is sent to farmers through GSM technology to allow remote monitoring. The system aims to improve crop yields by closely tracking environmental conditions and automating irrigation when needed. This allows for efficient field monitoring without constant physical presence and helps farmers make decisions to enhance crop quality and productivity.
IoT Based Agriculture Monitoring and Smart Irrigation System using Raspberry PiIRJET Journal
This document describes an IoT-based smart irrigation system that monitors soil moisture, temperature, and humidity using sensors connected to a Raspberry Pi. The system aims to automate irrigation only when needed to reduce water waste and increase crop yields. Sensors collect environmental data and send it via WiFi to the Raspberry Pi, which then posts it to a cloud server. If sensor values like soil moisture fall below a threshold, a relay is activated to turn on a water pump until conditions improve. The system was tested successfully and could help farmers better manage water resources and irrigation. Future work may involve monitoring additional soil properties and estimating water usage.
IRJET- Water Management in Agricultural Field using IoTIRJET Journal
This document proposes a system to monitor crop fields using IoT sensors for soil moisture, humidity, and temperature. Sensors would collect this environmental data from the agricultural field and share it over the Internet. An automated irrigation system could then be controlled based on the soil moisture readings, irrigating only when moisture is low. This smart agriculture system aims to minimize costs, reduce time/effort for farmers, and conserve water and energy resources through automated irrigation based on real-time sensor data.
The document describes an IoT-based smart irrigation system that uses soil moisture and water level sensors to automatically control a submersible pump motor. The system includes an Arduino, Raspberry Pi, GSM shield, sensors, and relay switch. It works by sensing soil moisture and water levels, sending the data via the GSM shield to a mobile app, and using the Raspberry Pi to turn the motor on or off via the relay based on the sensor readings and user commands through the app. This allows remote monitoring and control of irrigation to optimize water management.
This document describes a proposed IOT-based smart poultry farm system that aims to automate feeding, temperature control, and gas reduction processes. The system would use sensors to monitor environmental parameters and control devices like a food feeder, water sprinkler, and soil mixer. It could allow farmers to remotely monitor and control operations through a mobile app. This would help reduce labor costs and human errors while improving animal welfare and production efficiency compared to manual farming methods. The proposed system architecture involves an Arduino board controlling devices based on input from sensors to automate key tasks like feeding chickens on schedule, maintaining optimal temperatures, and reducing gases through soil mixing.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This document describes an IoT-based agricultural system that monitors soil moisture levels and automates irrigation. The system uses soil moisture sensors to measure moisture levels and a microcontroller to control a submersible pump based on the sensor readings, irrigating only when moisture levels drop below a threshold. Farmers can monitor soil moisture levels and irrigation status remotely through a WiFi module and online dashboard. The system aims to optimize water usage for irrigation and maximize crop yields through precision agriculture techniques enabled by IoT technologies.
India, whose GDP depends on the agriculture is not a developed nation in terms of modernization in agriculture. The high cost of labor, uncertainty in the production of crops, lack of knowledge about new methods, continuing with the same orthodox and traditional means to go about agriculture, the inefficient use of proper irrigational facilities results in low productivity. Due to this uncertainty in the irrigation process the crops may also dry up. About 14.7% of India’s growth depends on the agricultural sector, so it’s a huge cause of concern.
With this project, the current problems related to farming are solved and practically implemented solutions are provided. Using IOT as well as GSM, a whole new concept of farming using networks is introduced reducing labor, updating farmer about the live conditions of farm on the mobile devices and presenting its graphical value using thing speak. It makes the process handy with the click a button reformation.
We evaluate the performance of our method in a simple temperature sensing application. In terms of reducing human efforts and ease of irrigation, our approach has been observed to outperform the existing conventional approach. We bring out the advantages and disadvantages followed by their applications. The paper concludes the work open for research.
IRJET- IoT Enabled Precision Crop Field Monitoring SystemIRJET Journal
This document describes an IoT-enabled precision crop field monitoring system. Sensors are used to monitor soil moisture levels and temperature in agricultural fields. If temperature or moisture levels exceed thresholds, farmers are alerted via text message or phone call. Data is sent to farmers through GSM technology to allow remote monitoring. The system aims to improve crop yields by closely tracking environmental conditions and automating irrigation when needed. This allows for efficient field monitoring without constant physical presence and helps farmers make decisions to enhance crop quality and productivity.
IoT Based Agriculture Monitoring and Smart Irrigation System using Raspberry PiIRJET Journal
This document describes an IoT-based smart irrigation system that monitors soil moisture, temperature, and humidity using sensors connected to a Raspberry Pi. The system aims to automate irrigation only when needed to reduce water waste and increase crop yields. Sensors collect environmental data and send it via WiFi to the Raspberry Pi, which then posts it to a cloud server. If sensor values like soil moisture fall below a threshold, a relay is activated to turn on a water pump until conditions improve. The system was tested successfully and could help farmers better manage water resources and irrigation. Future work may involve monitoring additional soil properties and estimating water usage.
IRJET- Water Management in Agricultural Field using IoTIRJET Journal
This document proposes a system to monitor crop fields using IoT sensors for soil moisture, humidity, and temperature. Sensors would collect this environmental data from the agricultural field and share it over the Internet. An automated irrigation system could then be controlled based on the soil moisture readings, irrigating only when moisture is low. This smart agriculture system aims to minimize costs, reduce time/effort for farmers, and conserve water and energy resources through automated irrigation based on real-time sensor data.
The document describes an IoT-based smart irrigation system that uses soil moisture and water level sensors to automatically control a submersible pump motor. The system includes an Arduino, Raspberry Pi, GSM shield, sensors, and relay switch. It works by sensing soil moisture and water levels, sending the data via the GSM shield to a mobile app, and using the Raspberry Pi to turn the motor on or off via the relay based on the sensor readings and user commands through the app. This allows remote monitoring and control of irrigation to optimize water management.
The document is a project report submitted by students Sonam Menda and Chechey for their Bachelor of Technology degree. It discusses the development of a smart farming system using IoT technologies. The system aims to address key issues in agriculture by monitoring soil moisture, temperature and other field data in real-time and using this to control irrigation and provide intelligent farm management. The report describes the system architecture, hardware and software components used, including sensors, Arduino, Raspberry Pi, algorithms and testing plans. It evaluates the benefits of the system as well as future applications of IoT in agriculture.
IoT based water saving technique for Green Farmingijtsrd
A decision Support System based on the combination of micro controllers and ADC and ANN Algorithm is proposed to support the irrigation management in agriculture. The farmers experience and the irrigation best practices are modeled through Artificial Intelligence and Neural Network Algorithm and the outputs of numerical soil and crop models are used to provide a context-aware and optimized irrigation schedule. The suggested actions are devoted to reduce the waste of water and to maximize the crop yield according to the weather conditions and the real water needs. The proposed methodology is embedded in the network gateway making the system a truly smart and autonomous wireless decision support system. Nurjaha Bagwan | Pradnya Kushire | Manasi Deshpande | Priyanka Singh | Prof. Shyam Gupta"IoT based water saving technique for Green Farming" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14435.pdf http://www.ijtsrd.com/engineering/computer-engineering/14435/iot-based-water-saving-technique-for-green-farming/nurjaha-bagwan
IRJET - IoT based Smart Agriculture Monitoring SystemIRJET Journal
This document describes an IOT-based smart agriculture monitoring system that uses sensors to monitor soil moisture, temperature, humidity and detect animals on farms. The system includes sensors connected to an Arduino microcontroller that collects data from the sensors. The microcontroller analyzes the sensor data and sends alerts via SMS or the ThingSpeak IoT platform if readings are outside thresholds. This allows farmers to remotely monitor fields and resources and take timely action. The system aims to help farmers overcome challenges of traditional agriculture through automation and remote monitoring using emerging technologies like IOT.
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.
IRJET- Analysis of IoT based Wireless Sensors for Environmental Monitorin...IRJET Journal
1) The document describes an IoT-based system using wireless sensors for environmental monitoring and irrigation control in agriculture.
2) The system uses a Raspberry Pi connected to soil moisture, light intensity, CO2, SO2, and other sensors to automatically control a solenoidal valve and irrigation based on sensor readings.
3) By monitoring soil moisture, light, and air quality, the system aims to optimize water usage and ensure healthy plant growth through smart and automated irrigation management.
The Internet of things (IOT) is the network of physical devices vehicles home appliances and other items embedded with electronics, software, sensors ,actuators, and network connectivity which enable these objects to connect and exchange data.
Smart farming is a concept quickly catching on in the agricultural business. Offering high-precision crop control, useful data collection, and automated farming techniques, there are clearly many advantages a networked farm has to offer.
IRJET - Smart Irrigation System using Bluetooth Module and ArduinoIRJET Journal
This document summarizes a research paper on a smart irrigation system using a Bluetooth module and Arduino. The system aims to reduce human intervention and efficiently use water resources by automatically irrigating crops based on soil moisture levels. It consists of a soil moisture sensor connected to an Arduino board that controls a water pump. The Arduino reads the sensor values and turns the pump on or off depending on if the soil is dry or wet compared to a threshold. It sends the moisture readings to an Android device using a Bluetooth module. The system aims to improve water usage efficiency in agriculture and help farmers irrigate crops as needed with less manual labor.
IRJET- Smart Green House using IOT and Cloud ComputingIRJET Journal
1. The document describes a smart greenhouse system that uses IoT and cloud computing to automatically monitor and control the greenhouse's environment.
2. Sensors measure soil moisture, temperature, humidity, and sunlight levels, and send the data to a Raspberry Pi controller.
3. If sensor readings exceed predefined thresholds, the Raspberry Pi activates devices like water sprayers, fans, and lights to regulate the environment and optimize plant growth.
IRJET- Android based Instinctive Nutrition Add-On & Intensive Care for Smart ...IRJET Journal
This document describes a proposed smart agriculture system using IoT. The system uses sensors like temperature, moisture, and humidity sensors placed in crop fields to monitor soil conditions. A microcontroller controls water supply via relays based on sensor readings. An Android mobile app allows farmers to monitor field conditions remotely via the IoT. A robot with a camera is also used to detect plant diseases and automatically spray pesticides in infected areas. The system aims to optimize water and fertilizer use for crops through automated monitoring and control.
IOT can be used for smart farming applications by connecting devices to monitor and automate agricultural tasks. Soil moisture sensors, temperature sensors, and PIR motion sensors connected to an Arduino board can help farmers precisely manage crop watering, detect predators for pest management, and monitor field conditions. This allows for optimized water usage, high crop yields, and reduced damage compared to traditional farming methods. While the upfront costs may be high, IOT for agriculture can increase profits for farmers through greater productivity and efficiency.
IRJET- IoT based Cultivation using AurdinoIRJET Journal
This document describes an IoT-based smart farming system using Arduino that monitors soil conditions. The system uses sensors to measure temperature, humidity, pH levels, and detects movement. If sensor readings are abnormal, a GSM module sends alerts to the farmer's phone. This automation helps farmers more efficiently monitor crops and respond to issues in real-time, improving yields and reducing costs compared to traditional farming. The system is a cost-effective solution that saves farmers money in the long run through increased profits.
IOT has many applications in agriculture such as crop water management using soil moisture sensors, pest management using motion detecting PIR sensors, precision farming using sensors and drones, and livestock monitoring using sensors on wearables that track temperature, activity, and health indicators. IOT helps optimize resources like water, increase yields, and monitor livestock health remotely. However, challenges include infrastructure and connectivity issues, costs, and difficulties in implementation and data analysis for some farmers. Overall, IOT solutions have potential to increase agricultural sustainability and competitiveness.
IRJET- Review on IoT in Agricultural Crop Protection and Power GenerationIRJET Journal
This document summarizes several approaches to using IoT technologies for agricultural crop protection and power generation. It discusses using sensors to monitor environmental factors inside greenhouses and polyhouses, and using the data to automate irrigation and other controls. It also addresses using solar power and rainwater harvesting for power generation. The approaches aim to increase crop yields, optimize resource use, and provide remote monitoring capabilities to farmers via technologies like GSM, RFID, wireless sensor networks, and cloud-based data analytics platforms.
This project report describes a smart irrigation system that uses sensors to monitor soil moisture levels and automatically controls an irrigation pump. The system includes a NodeMCU microcontroller, DHT11 temperature and humidity sensor, soil moisture sensor, relay module, DC pump, LCD display, and other hardware components. It sends sensor data to a Blynk mobile app via WiFi to allow remote monitoring and control of irrigation. The system aims to optimize water usage for agriculture by irrigating only when needed based on real-time soil conditions.
Internet of Things & Its application in Smart AgricultureMohammad Zakriya
As we know Agriculture plays vital role in the development of agricultural country. In India about 70% of population depends upon farming and one third of the nation’s capital comes from farming. Issues concerning agriculture have been always hindering the development of the country. The only solution to this problem is smart agriculture by modernizing the current traditional methods of agriculture. Hence the project aims at making agriculture smart using automation and IoT technologies.
Project Implementation
Real-Time Data Analysis of fabricated hardware & conclusions
Proposed Implementation using the concepts of IoT
Challenges faced in Smart Farming with perspective of India
Further Scope for Innovation from Electrical Engineer’s POV
Smart agriculture uses modern technologies like sensors, drones, robotics and IOT to increase crop yields and quality. It allows for smart irrigation, livestock monitoring, weather monitoring and remote soil monitoring. An automated greenhouse uses computer control of climate and environment to grow crops with 45% less inputs, 60% less labor, and 65% more efficiency. The technology could boost India's agricultural production and food security, though initial costs are high and many small farmers currently lack education to implement it.
Comparative Study on Advanced Farm Security System Using Internet of Things a...vivatechijri
Internet of Things consists of two words Internet and objects. The term objects in IoT refers to various IoT devices that have unique identities and are capable of making remote sensing, performing and live monitoring of certain types of data. IoT devices enable other devices connected to the app directly or indirectly, and send data to various servers and combining IoT with Image processing in the agriculture sector can lead to a more technology driven system in terms of agriculture security which can create a Smart Agricultural Security System.
The major problem in today’s agriculture sector is protecting crops from local animals and thieves because it is not possible for every farmer to barricade the entire field or stay on the field 24 hours and guard it. So, to overcome this problem there must be an automated crop protecting system which uses leading technologies like IoT and Image Processing. The advantage of using this system can help farmer to monitor the farm even if farmer is away from field by installing various sensors in farm to detect motion of local animal and sent data to farmer app directly and also farmer can see live streaming of the farm with help of camera installed in farm. This ensures complete safety of crops from animals and thieves thus increasing financial gain with a proper security surveillance system.
Water scarcity nowadays is a big concern for farmers and with this growing population of our country agriculture becomes a serious and main problem that our framers are facing today. The main objective of the project is providing automatic irrigation system that switches a motor pump ONOFF by sensing moisture content of the soil through application of Internet of Things (IOT). Human intervention can be reduced by proper method of irrigation. The project consists of Arduino microcontroller and sensor, where Arduino microcontroller is programmed to receive the input signal of varying moisture condition of the soil through sensor. Once the controller receives these signal, the output then relay on operating the water pump. The sensing arrangement is made up of two metallic rods inserted to the agriculture field which is required to be controlled. Priyanka Lahande | Dr. Basavaraj Mathpathi"IoT Based Smart Irrigation System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: http://www.ijtsrd.com/papers/ijtsrd15827.pdf http://www.ijtsrd.com/computer-science/embedded-system/15827/iot-based-smart-irrigation-system/priyanka-lahande
IRJET - A Study on Smart Irrigation System using IoT & Machine LearningIRJET Journal
The document proposes a smart irrigation system using IoT and machine learning. The solar-powered system collects data from sensors on soil moisture, temperature, humidity and other factors. It uses machine learning algorithms to analyze the data and predict future conditions to automate irrigation. This aims to minimize water waste, human errors and increase farm revenue by precisely controlling irrigation based on real-time sensor data and predictions. The system is designed to be affordable and accessible to farmers through a smartphone app.
IOT BASED SMART AGRICULTURAL MONITORING SYSTEMIRJET Journal
This document describes an IoT-based smart agricultural monitoring system that uses various sensors to monitor environmental conditions and the growth of crops. The system collects data from sensors such as temperature and humidity sensors, a soil moisture sensor, a color sensor to detect fruit ripening stages, and a PIR sensor to detect animal movement. The sensor data is sent to a central monitoring system using an Arduino, NodeMCU, and GSM module. Farmers can receive SMS alerts about field conditions to optimize crop productivity and resource use. The system aims to increase yields, save farmer time and effort, and avoid health issues through remote automated monitoring of agricultural fields.
The document is a project report submitted by students Sonam Menda and Chechey for their Bachelor of Technology degree. It discusses the development of a smart farming system using IoT technologies. The system aims to address key issues in agriculture by monitoring soil moisture, temperature and other field data in real-time and using this to control irrigation and provide intelligent farm management. The report describes the system architecture, hardware and software components used, including sensors, Arduino, Raspberry Pi, algorithms and testing plans. It evaluates the benefits of the system as well as future applications of IoT in agriculture.
IoT based water saving technique for Green Farmingijtsrd
A decision Support System based on the combination of micro controllers and ADC and ANN Algorithm is proposed to support the irrigation management in agriculture. The farmers experience and the irrigation best practices are modeled through Artificial Intelligence and Neural Network Algorithm and the outputs of numerical soil and crop models are used to provide a context-aware and optimized irrigation schedule. The suggested actions are devoted to reduce the waste of water and to maximize the crop yield according to the weather conditions and the real water needs. The proposed methodology is embedded in the network gateway making the system a truly smart and autonomous wireless decision support system. Nurjaha Bagwan | Pradnya Kushire | Manasi Deshpande | Priyanka Singh | Prof. Shyam Gupta"IoT based water saving technique for Green Farming" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14435.pdf http://www.ijtsrd.com/engineering/computer-engineering/14435/iot-based-water-saving-technique-for-green-farming/nurjaha-bagwan
IRJET - IoT based Smart Agriculture Monitoring SystemIRJET Journal
This document describes an IOT-based smart agriculture monitoring system that uses sensors to monitor soil moisture, temperature, humidity and detect animals on farms. The system includes sensors connected to an Arduino microcontroller that collects data from the sensors. The microcontroller analyzes the sensor data and sends alerts via SMS or the ThingSpeak IoT platform if readings are outside thresholds. This allows farmers to remotely monitor fields and resources and take timely action. The system aims to help farmers overcome challenges of traditional agriculture through automation and remote monitoring using emerging technologies like IOT.
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.
IRJET- Analysis of IoT based Wireless Sensors for Environmental Monitorin...IRJET Journal
1) The document describes an IoT-based system using wireless sensors for environmental monitoring and irrigation control in agriculture.
2) The system uses a Raspberry Pi connected to soil moisture, light intensity, CO2, SO2, and other sensors to automatically control a solenoidal valve and irrigation based on sensor readings.
3) By monitoring soil moisture, light, and air quality, the system aims to optimize water usage and ensure healthy plant growth through smart and automated irrigation management.
The Internet of things (IOT) is the network of physical devices vehicles home appliances and other items embedded with electronics, software, sensors ,actuators, and network connectivity which enable these objects to connect and exchange data.
Smart farming is a concept quickly catching on in the agricultural business. Offering high-precision crop control, useful data collection, and automated farming techniques, there are clearly many advantages a networked farm has to offer.
IRJET - Smart Irrigation System using Bluetooth Module and ArduinoIRJET Journal
This document summarizes a research paper on a smart irrigation system using a Bluetooth module and Arduino. The system aims to reduce human intervention and efficiently use water resources by automatically irrigating crops based on soil moisture levels. It consists of a soil moisture sensor connected to an Arduino board that controls a water pump. The Arduino reads the sensor values and turns the pump on or off depending on if the soil is dry or wet compared to a threshold. It sends the moisture readings to an Android device using a Bluetooth module. The system aims to improve water usage efficiency in agriculture and help farmers irrigate crops as needed with less manual labor.
IRJET- Smart Green House using IOT and Cloud ComputingIRJET Journal
1. The document describes a smart greenhouse system that uses IoT and cloud computing to automatically monitor and control the greenhouse's environment.
2. Sensors measure soil moisture, temperature, humidity, and sunlight levels, and send the data to a Raspberry Pi controller.
3. If sensor readings exceed predefined thresholds, the Raspberry Pi activates devices like water sprayers, fans, and lights to regulate the environment and optimize plant growth.
IRJET- Android based Instinctive Nutrition Add-On & Intensive Care for Smart ...IRJET Journal
This document describes a proposed smart agriculture system using IoT. The system uses sensors like temperature, moisture, and humidity sensors placed in crop fields to monitor soil conditions. A microcontroller controls water supply via relays based on sensor readings. An Android mobile app allows farmers to monitor field conditions remotely via the IoT. A robot with a camera is also used to detect plant diseases and automatically spray pesticides in infected areas. The system aims to optimize water and fertilizer use for crops through automated monitoring and control.
IOT can be used for smart farming applications by connecting devices to monitor and automate agricultural tasks. Soil moisture sensors, temperature sensors, and PIR motion sensors connected to an Arduino board can help farmers precisely manage crop watering, detect predators for pest management, and monitor field conditions. This allows for optimized water usage, high crop yields, and reduced damage compared to traditional farming methods. While the upfront costs may be high, IOT for agriculture can increase profits for farmers through greater productivity and efficiency.
IRJET- IoT based Cultivation using AurdinoIRJET Journal
This document describes an IoT-based smart farming system using Arduino that monitors soil conditions. The system uses sensors to measure temperature, humidity, pH levels, and detects movement. If sensor readings are abnormal, a GSM module sends alerts to the farmer's phone. This automation helps farmers more efficiently monitor crops and respond to issues in real-time, improving yields and reducing costs compared to traditional farming. The system is a cost-effective solution that saves farmers money in the long run through increased profits.
IOT has many applications in agriculture such as crop water management using soil moisture sensors, pest management using motion detecting PIR sensors, precision farming using sensors and drones, and livestock monitoring using sensors on wearables that track temperature, activity, and health indicators. IOT helps optimize resources like water, increase yields, and monitor livestock health remotely. However, challenges include infrastructure and connectivity issues, costs, and difficulties in implementation and data analysis for some farmers. Overall, IOT solutions have potential to increase agricultural sustainability and competitiveness.
IRJET- Review on IoT in Agricultural Crop Protection and Power GenerationIRJET Journal
This document summarizes several approaches to using IoT technologies for agricultural crop protection and power generation. It discusses using sensors to monitor environmental factors inside greenhouses and polyhouses, and using the data to automate irrigation and other controls. It also addresses using solar power and rainwater harvesting for power generation. The approaches aim to increase crop yields, optimize resource use, and provide remote monitoring capabilities to farmers via technologies like GSM, RFID, wireless sensor networks, and cloud-based data analytics platforms.
This project report describes a smart irrigation system that uses sensors to monitor soil moisture levels and automatically controls an irrigation pump. The system includes a NodeMCU microcontroller, DHT11 temperature and humidity sensor, soil moisture sensor, relay module, DC pump, LCD display, and other hardware components. It sends sensor data to a Blynk mobile app via WiFi to allow remote monitoring and control of irrigation. The system aims to optimize water usage for agriculture by irrigating only when needed based on real-time soil conditions.
Internet of Things & Its application in Smart AgricultureMohammad Zakriya
As we know Agriculture plays vital role in the development of agricultural country. In India about 70% of population depends upon farming and one third of the nation’s capital comes from farming. Issues concerning agriculture have been always hindering the development of the country. The only solution to this problem is smart agriculture by modernizing the current traditional methods of agriculture. Hence the project aims at making agriculture smart using automation and IoT technologies.
Project Implementation
Real-Time Data Analysis of fabricated hardware & conclusions
Proposed Implementation using the concepts of IoT
Challenges faced in Smart Farming with perspective of India
Further Scope for Innovation from Electrical Engineer’s POV
Smart agriculture uses modern technologies like sensors, drones, robotics and IOT to increase crop yields and quality. It allows for smart irrigation, livestock monitoring, weather monitoring and remote soil monitoring. An automated greenhouse uses computer control of climate and environment to grow crops with 45% less inputs, 60% less labor, and 65% more efficiency. The technology could boost India's agricultural production and food security, though initial costs are high and many small farmers currently lack education to implement it.
Comparative Study on Advanced Farm Security System Using Internet of Things a...vivatechijri
Internet of Things consists of two words Internet and objects. The term objects in IoT refers to various IoT devices that have unique identities and are capable of making remote sensing, performing and live monitoring of certain types of data. IoT devices enable other devices connected to the app directly or indirectly, and send data to various servers and combining IoT with Image processing in the agriculture sector can lead to a more technology driven system in terms of agriculture security which can create a Smart Agricultural Security System.
The major problem in today’s agriculture sector is protecting crops from local animals and thieves because it is not possible for every farmer to barricade the entire field or stay on the field 24 hours and guard it. So, to overcome this problem there must be an automated crop protecting system which uses leading technologies like IoT and Image Processing. The advantage of using this system can help farmer to monitor the farm even if farmer is away from field by installing various sensors in farm to detect motion of local animal and sent data to farmer app directly and also farmer can see live streaming of the farm with help of camera installed in farm. This ensures complete safety of crops from animals and thieves thus increasing financial gain with a proper security surveillance system.
Water scarcity nowadays is a big concern for farmers and with this growing population of our country agriculture becomes a serious and main problem that our framers are facing today. The main objective of the project is providing automatic irrigation system that switches a motor pump ONOFF by sensing moisture content of the soil through application of Internet of Things (IOT). Human intervention can be reduced by proper method of irrigation. The project consists of Arduino microcontroller and sensor, where Arduino microcontroller is programmed to receive the input signal of varying moisture condition of the soil through sensor. Once the controller receives these signal, the output then relay on operating the water pump. The sensing arrangement is made up of two metallic rods inserted to the agriculture field which is required to be controlled. Priyanka Lahande | Dr. Basavaraj Mathpathi"IoT Based Smart Irrigation System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: http://www.ijtsrd.com/papers/ijtsrd15827.pdf http://www.ijtsrd.com/computer-science/embedded-system/15827/iot-based-smart-irrigation-system/priyanka-lahande
IRJET - A Study on Smart Irrigation System using IoT & Machine LearningIRJET Journal
The document proposes a smart irrigation system using IoT and machine learning. The solar-powered system collects data from sensors on soil moisture, temperature, humidity and other factors. It uses machine learning algorithms to analyze the data and predict future conditions to automate irrigation. This aims to minimize water waste, human errors and increase farm revenue by precisely controlling irrigation based on real-time sensor data and predictions. The system is designed to be affordable and accessible to farmers through a smartphone app.
IOT BASED SMART AGRICULTURAL MONITORING SYSTEMIRJET Journal
This document describes an IoT-based smart agricultural monitoring system that uses various sensors to monitor environmental conditions and the growth of crops. The system collects data from sensors such as temperature and humidity sensors, a soil moisture sensor, a color sensor to detect fruit ripening stages, and a PIR sensor to detect animal movement. The sensor data is sent to a central monitoring system using an Arduino, NodeMCU, and GSM module. Farmers can receive SMS alerts about field conditions to optimize crop productivity and resource use. The system aims to increase yields, save farmer time and effort, and avoid health issues through remote automated monitoring of agricultural fields.
A RESEARCH PAPER ON SMART AGRICULTURE SYSTEM USING IOTIRJET Journal
This document presents a research paper on a smart agriculture system using IoT. The system monitors soil moisture, temperature, humidity and water levels using sensors connected to a microcontroller. If any parameters exceed thresholds, an alert is sent to the farmer's smartphone via WiFi/cellular. The system aims to enhance productivity and efficiency in agriculture by automating monitoring and control tasks. It provides a low-cost solution to help farmers, especially in water-limited areas. The system is tested with soil moisture, temperature, humidity and ultrasonic water level sensors connected to an ESP8266 microcontroller. Sensor data is sent to a Blynk app for monitoring and manual control of water pumps. The system aims to save water, labor and
Next Gen Farming: IoT in Smart Irrigation SystemIRJET Journal
The document discusses how Internet of Things (IoT) technologies like sensors, cloud computing, and big data analytics can be applied to create a smart irrigation system for agriculture that efficiently manages water usage. It proposes a system where soil moisture and other sensors collect real-time data, which is sent to the cloud for analysis to determine exact water requirements. This data and analysis would then be used to automate irrigation through a mobile app interface, improving crop yields while optimizing limited water resources.
IoT based Smart Agriculture Monitoring SystemIRJET Journal
This document proposes an IoT-based smart agriculture monitoring system that uses sensors to measure temperature, humidity, and soil moisture levels. The sensor data is transmitted to an IoT platform via WiFi using an ESP32 microcontroller. A mobile app allows farmers to control a robotic system's movements in real-time via Bluetooth to optimize resource usage and prevent crop loss. The system has the potential to improve crop yields while reducing waste and environmental impacts.
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 - 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.
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.
Role of IOT in introducing Smart AgricultureIRJET Journal
This document discusses the role of the Internet of Things (IoT) in introducing smart agriculture. It begins by defining IoT as machine-to-machine communications and notes its importance in digital growth. The document then discusses how IoT can improve agricultural performance and productivity through applications like precision agriculture and intelligent greenhouses. It analyzes hardware platforms, communication standards, and cloud services that enable IoT in agriculture. Finally, the document outlines benefits of IoT in agriculture like remote crop monitoring, automated environmental control, and supply chain traceability. In summary, the document examines how IoT sensors and devices are enabling smart and efficient agricultural practices through remote monitoring and automation.
IRJET- Agricultural Parameters Monitoring System using IoTIRJET Journal
This document describes an agricultural parameters monitoring system using IoT. The system uses sensors like soil moisture, temperature, humidity and gas sensors connected to a Raspberry Pi 3B module. The sensor data is sent to the cloud database ThingSpeak using WiFi. Farmers can then monitor parameters of their farm fields like temperature, humidity and soil moisture levels remotely using an IoT application on their smartphone. This system aims to automate irrigation based on soil moisture levels and make agriculture smarter and reduce farmers' efforts through remote monitoring using Internet of Things technology.
A Review Paper on Optimize Yield Production Using Data from SensorsIRJET Journal
This document reviews the use of sensors and IoT technologies to optimize agricultural crop yields through precision farming. It discusses how precision farming aims to provide crops with optimal resources like water and fertilizer. Several studies that used sensors to monitor soil parameters like moisture, temperature and humidity are summarized. Wireless sensor networks are shown to effectively monitor greenhouse conditions. System architectures are proposed that collect sensor data and use it to control actuators and make recommendations to farmers. The conclusion is that precision farming enabled by IoT can help manage field variations, grow more food efficiently and reduce costs through accurate monitoring and control of key growing parameters.
IRJET- Implementation & Testing of Soil Analysis in Cultivation Land using IoTIRJET Journal
This document describes a system for soil analysis and crop prediction using IoT technology. The system measures soil parameters like temperature, humidity and nutrients (nitrogen, phosphorus, potassium) using sensors. It analyzes the soil data and predicts the suitable crops for the soil type. An Arduino board is used to collect data from the sensors via WiFi. The data is sent to a Blynk server which uses machine learning algorithms to analyze the soil conditions and suggest appropriate crops to the farmer via notifications. The system aims to help farmers choose optimal crops and increase agricultural productivity and profits. Tests were conducted and the system was able to accurately measure soil parameters, send alerts, and predict suitable crops based on the soil analysis.
IRJET- Greenhouse Monitoring using Raspberry PiIRJET Journal
1) The document describes a system to monitor environmental parameters like temperature, humidity, soil moisture, and light intensity in a greenhouse using sensors connected to a Raspberry Pi.
2) The Raspberry Pi collects data from the sensors and controls devices like fans, lights, and pumps to maintain optimum conditions for plant growth based on the sensor readings.
3) The system allows users to remotely monitor the greenhouse conditions from anywhere using an app, which provides benefits like labor savings and improved crop quality and yield.
IRJET - Prevention of Crop Disease in Plants (Groundnut) using IoT and Ma...IRJET Journal
The article discusses international issues. It mentions that globalization has increased economic interdependence between nations while also raising tensions over immigration and trade. Solutions will require cooperation and compromise and a recognition that isolationism is not a viable strategy in an interconnected world.
IRJET- Automated Irrigation System using IoTIRJET Journal
This document describes an automated irrigation system using IoT that monitors soil moisture, temperature, and humidity sensors to efficiently water agricultural fields. The system uses sensors to monitor the field conditions and a microcontroller compares the sensor values to preset thresholds. If the soil moisture drops below a threshold, the controller activates a water pump via a relay to irrigate the field. Real-time sensor data is displayed on an LCD and sent to the cloud for remote monitoring. The system aims to improve crop yields by optimizing water usage and reducing manual labor compared to traditional irrigation methods.
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.
IRJET - IoT based Smart Irrigation SystemIRJET Journal
This document proposes an IoT-based smart irrigation system that uses sensors to monitor soil moisture and temperature. An Arduino board collects data from moisture and temperature sensors and controls a water pump. It can also send sensor readings to the owner's phone via GSM. The system aims to automate irrigation and minimize water usage by only turning on the pump when the soil needs water based on moisture and temperature thresholds. It provides a methodology, component descriptions, results from testing moisture and temperature triggers, and discusses potential for adding more sensors to expand functionality.
This document presents a smart poly-house irrigation system that uses IoT technologies. The system includes soil moisture and temperature sensors that collect data from the poly-house. An Arduino microcontroller receives the sensor data and controls the irrigation pumps and temperature regulation mechanisms based on threshold values. The system aims to automate the irrigation process with minimal human intervention. A user can monitor the system and receive reports through a mobile Android application. The system seeks to optimize water usage, reduce labor, and automatically adjust the poly-house temperature based on sensor readings. It compares the Arduino, Raspberry Pi, and ESP8266 platforms for IoT applications and identifies the advantages of each for different uses cases.
IRJET- Role of Internet of Things in AgricultureIRJET Journal
This document discusses the role of Internet of Things (IoT) in agriculture. It begins by introducing IoT and how it can improve efficiency, productivity, and reduce human intervention in agriculture. It then discusses several current applications of IoT in agriculture including data mining, precision farming, livestock monitoring, smart greenhouses, and remote sensing. It also provides some new ideas for IoT applications and discusses both the advantages, such as increased yields and reduced costs, and disadvantages, such as high costs and environmental damage, of using IoT in agriculture. Finally, it provides suggestions for addressing the disadvantages like decreasing equipment costs and educating farmers on proper IoT usage.
IRJET- Smart & Intelligent Field Irrigation System using IoTIRJET Journal
This document describes a smart and intelligent field irrigation system using IoT. The system consists of soil temperature, humidity, and moisture sensors connected to ESP8266 microcontrollers. The sensors transmit data to a Node.js server, which the second ESP8266 board uses to control a pump and lamp relay based on threshold values. A mobile app and web dashboard display the sensor data and allow remote control. The system automates irrigation and alerts farmers to field conditions, providing a low-cost alternative to traditional farming methods.
Similar to IRJET - IoT based Mobile App for E-Farming using Decision Support System Irrigation (DSSI) Algorithm (20)
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.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
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%.
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.
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.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.