This document describes an IOT based weather reporting system that uses temperature, humidity, and rain sensors to monitor weather conditions and provide live reporting over the internet. The system uses an Arduino Uno microcontroller connected to DHT11 and rain drop sensors to constantly measure temperature, humidity, and rainfall. The sensor data is transmitted to an online server via WiFi. Users can access the weather data by visiting a website. The system provides automated, real-time weather monitoring and reporting with high accuracy at a low cost.
The document describes an IoT-based smart irrigation system project. The system uses sensors to measure soil moisture, temperature and water levels. It sends this sensor data to an ESP32 microcontroller which controls a water pump based on the readings and plant requirements. This allows remote monitoring and control of irrigation. The system aims to save water and labor costs while improving crop yields through more efficient irrigation management.
The document describes an IoT-based solar water pump controller system. The system consists of a microcontroller, moisture sensor, water level sensor, Wi-Fi module, and solar tracking system. The microcontroller sends sensor data to a central server where it is stored and viewed on a mobile phone. Based on the sensor readings, the pump motor can be turned on or off remotely via the mobile phone. This minimizes human effort in remote areas by allowing remote control and monitoring of the system through a mobile device.
This document describes an IOT-based greenhouse monitoring system using Raspberry Pi. The system aims to automatically monitor and control climate parameters like temperature, humidity, soil moisture, and light intensity in a greenhouse. Sensors placed in the greenhouse record this data, which is sent to a Raspberry Pi gateway. If temperature rises too high, fans turn on to cool it down. If soil moisture drops, pumps turn on to add water. Lights also turn on automatically in the absence of sufficient light. The system is meant to overcome the limitations of manual monitoring and improve crop growth and yield for farmers.
1. The document describes a smart irrigation system that uses IoT sensors and a mobile app to remotely monitor soil properties and automate irrigation.
2. Key components include a NodeMCU board, DHT11 sensor to measure temperature and humidity, a soil moisture sensor, motor pump, relay module, and LCD display connected via I2C.
3. The system works by sensing soil properties with various sensors, transmitting the data via NodeMCU and WiFi to a mobile app, and controlling the motor pump remotely based on the sensor readings and user inputs to optimize water 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.
This document describes a proposed smart water management system that uses various sensors and an Arduino microcontroller to monitor and control water usage. The system includes flow sensors to measure water usage, water level sensors to monitor tank levels, a GSM module to send data to the cloud for storage and analysis, and a solenoid valve and relay to control water distribution. The system aims to encourage efficient water usage by tracking individual usage and allowing administrators to manage supply. It provides real-time tank level information on an LCD display and automatically shuts off water flow if usage limits are exceeded to prevent waste. Data on usage is sent to a cloud server using the GSM module for remote monitoring of supply and demand.
Automated irrigation system based on soil moisture using arduinoVishal Nagar
Automated irrigation system based on soil moisture using arduino
More Details: Contact me 9982228229
www.roofurja.com
vishalnagarcool.blogspot.com
https://www.youtube.com/watch?v=utHRD4B8BxQ
This document describes an IOT based weather reporting system that uses temperature, humidity, and rain sensors to monitor weather conditions and provide live reporting over the internet. The system uses an Arduino Uno microcontroller connected to DHT11 and rain drop sensors to constantly measure temperature, humidity, and rainfall. The sensor data is transmitted to an online server via WiFi. Users can access the weather data by visiting a website. The system provides automated, real-time weather monitoring and reporting with high accuracy at a low cost.
The document describes an IoT-based smart irrigation system project. The system uses sensors to measure soil moisture, temperature and water levels. It sends this sensor data to an ESP32 microcontroller which controls a water pump based on the readings and plant requirements. This allows remote monitoring and control of irrigation. The system aims to save water and labor costs while improving crop yields through more efficient irrigation management.
The document describes an IoT-based solar water pump controller system. The system consists of a microcontroller, moisture sensor, water level sensor, Wi-Fi module, and solar tracking system. The microcontroller sends sensor data to a central server where it is stored and viewed on a mobile phone. Based on the sensor readings, the pump motor can be turned on or off remotely via the mobile phone. This minimizes human effort in remote areas by allowing remote control and monitoring of the system through a mobile device.
This document describes an IOT-based greenhouse monitoring system using Raspberry Pi. The system aims to automatically monitor and control climate parameters like temperature, humidity, soil moisture, and light intensity in a greenhouse. Sensors placed in the greenhouse record this data, which is sent to a Raspberry Pi gateway. If temperature rises too high, fans turn on to cool it down. If soil moisture drops, pumps turn on to add water. Lights also turn on automatically in the absence of sufficient light. The system is meant to overcome the limitations of manual monitoring and improve crop growth and yield for farmers.
1. The document describes a smart irrigation system that uses IoT sensors and a mobile app to remotely monitor soil properties and automate irrigation.
2. Key components include a NodeMCU board, DHT11 sensor to measure temperature and humidity, a soil moisture sensor, motor pump, relay module, and LCD display connected via I2C.
3. The system works by sensing soil properties with various sensors, transmitting the data via NodeMCU and WiFi to a mobile app, and controlling the motor pump remotely based on the sensor readings and user inputs to optimize water 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.
This document describes a proposed smart water management system that uses various sensors and an Arduino microcontroller to monitor and control water usage. The system includes flow sensors to measure water usage, water level sensors to monitor tank levels, a GSM module to send data to the cloud for storage and analysis, and a solenoid valve and relay to control water distribution. The system aims to encourage efficient water usage by tracking individual usage and allowing administrators to manage supply. It provides real-time tank level information on an LCD display and automatically shuts off water flow if usage limits are exceeded to prevent waste. Data on usage is sent to a cloud server using the GSM module for remote monitoring of supply and demand.
Automated irrigation system based on soil moisture using arduinoVishal Nagar
Automated irrigation system based on soil moisture using arduino
More Details: Contact me 9982228229
www.roofurja.com
vishalnagarcool.blogspot.com
https://www.youtube.com/watch?v=utHRD4B8BxQ
IRJET- Smart Water Monitoring System using IoTIRJET Journal
This document presents a design for a low-cost smart water monitoring system using IoT (Internet of Things) technology. The system uses several sensors to measure water quality and quantity parameters like temperature, pH, turbidity, and water flow. An Arduino microcontroller processes the sensor data and sends it over WiFi to a cloud server for storage and analysis. The system can automatically stop water flow if a certain flow level is reached using an ultrasonic sensor. This smart water monitoring system allows users to monitor water usage and quality in real-time through a mobile or web application.
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- Automatic Irrigation System using Arduino UNOIRJET Journal
This document describes an automatic irrigation system that uses sensors and an Arduino Uno microcontroller to control water flow based on soil moisture levels. Soil moisture and temperature sensors send readings to the Arduino, which uses the data to activate a relay and water pump when the soil needs watering. The system aims to optimize water usage for agriculture by only irrigating according to environmental conditions and crop requirements, reducing waste from over- or under-watering with traditional techniques.
Revamping the process of agriculture is a
very critical stage for a country like India with a
population of 1.3 billion people. A huge amount of
architectural and technological modifications has been
adopted in the past years to improve the productivity of
the agricultural field.
IRJET- Automated Water Conservation and Theft Detection using IOTIRJET Journal
The document proposes developing an IoT-based remote water monitoring and theft prevention system using a microcontroller to record flow rates from a flow sensor and control solenoid valves. It reviews existing automated water distribution systems using various sensors and communication protocols. The proposed system would use an Ethernet shield to send sensor data to the cloud and detect water theft by comparing total water usage to amounts distributed.
The document summarizes an IoT-based smart gardening system that was designed to automate gardening tasks and make gardening easier. The system uses sensors like a soil moisture sensor and temperature sensor to monitor plant conditions. It includes a microcontroller, sensors, actuators like a servo motor and sprinkler, and an LCD display. The system can automatically water plants based on soil moisture levels, open a shelter when needed, and save water and electricity compared to manual gardening.
IRJET- Water Management System using IoT with WSNIRJET Journal
This document describes a water management system using IoT and wireless sensor networks. The system uses sensors to monitor water levels in a tank. An Arduino board connects to an ultrasonic sensor and WiFi module. The sensor measures water levels and sends the data to the cloud via WiFi. Users can access the water level information through a website. The system automatically controls a water pump motor to keep water levels between a high and low threshold by turning the pump on or off as needed. The goal is to optimize water usage and prevent overflow or empty tanks through real-time monitoring and control enabled by IoT technologies.
This document describes a student project from Sanskrithi School of Engineering on an IoT enabled smart irrigation system with weather forecasting. The system uses soil moisture, temperature, and weather data to predict irrigation needs and control a drip irrigation system. It was guided by Dr. D. Nagaraju and presented by 5 students. The system collects sensor data wirelessly via the cloud and a web interface provides real-time insights and predictions. Initial results over 3 weeks show the system's predictions are encouraging. Future work could link the system to IoT for remote monitoring and use data logging to further optimize irrigation scheduling.
IRJET- IOT based Agriculture System using NodeMCUIRJET Journal
This document describes an IoT-based smart agriculture system using NodeMCU. The system monitors soil properties like temperature, humidity, and moisture levels using sensors and sends the data to NodeMCU. NodeMCU acts as both a microcontroller and server to control operations remotely. The system aims to automate watering based on soil moisture levels to avoid water wastage. It allows monitoring and controlling the farm from anywhere using a mobile or web application. Experimental results show the system can successfully monitor sensor values and automatically control a motor to irrigate fields based on moisture levels without human presence. This smart agriculture system using IoT has potential to improve efficiency in irrigation management.
This document describes an automated plant watering system using IoT. It aims to develop a smart watering system that can identify soil moisture levels and reduce manual labor and water waste. It discusses the limitations of existing manual systems and outlines the objectives of the project. The system design, components, cost estimation, implementation, and testing are described at a high level. The system uses moisture sensors to detect soil moisture levels and a water pump to automate watering when levels drop below a threshold. An Android app is also proposed to monitor plant health and moisture levels remotely.
This document describes a design for a cooling tower system with IoT capabilities. Key points:
- Sensors will monitor parameters like pH, temperature, and vibration of the cooling tower and dosage pump.
- If parameters exceed thresholds, corrective actions like varying the pump speed will be taken to control pH.
- An Ethernet module will transmit sensor data to the cloud to allow remote monitoring via mobile devices.
- The system aims to maintain efficient and reliable cooling tower operation while minimizing total cost.
This ppt is helpful in learning the Automatic Irrigation System Using IoT-based Sensors to sense the Temperature, Humidity, and Soil Moisture present in the soil and surrounding air.
IOT attracts people and makes people's life easy where people from anywhere can control their all-electric appliances with just one single click.
This document describes an IoT-based smart agriculture monitoring system project. The system uses sensors to monitor humidity, moisture, and water levels. If the water level drops below a threshold, the system automatically starts the water pump. If the temperature rises above a set level, a fan is activated. Sensors send SMS alerts and display readings on an LCD screen. The system aims to automate agriculture monitoring using IoT sensors and devices to remotely track field conditions.
The document describes an automatic irrigation system using IoT that monitors soil parameters and controls irrigation. It consists of sensors to measure temperature, humidity and soil moisture that send readings to an Arduino board. If the soil moisture is below 30%, the Arduino turns on a motor to irrigate the land. The system aims to save water by only irrigating when needed based on sensor data and can be monitored and controlled remotely through a mobile application. It provides intelligent data collection and waste reduction for efficient agricultural irrigation.
Irrigation is a scientific process of artificially supplying water to the land or soil that is being cultivated. Traditionally in dry regions having no or little rainfall water had to be supplied to the fields either through canals or hand pumps, tube wells. Conventional irrigation methods had severe problems such as increase in workload of farm labor and often it lead to problem such as over-irrigation or under-irrigation, and leaching of soil.
To develop smart based automatic Farming system capable of controlling many electrical appliances in an irrigation or field using android platform with a mobile handset, where data transmission is carried wirelessly. That’s why design Wireless transmission media using through and its interfacing peripherals for wireless data communication between Mobile Handset and appliances is our need. Hence to create a database of user interface in order to characterize the electric signals to atomize farming system. It also prevents for heat control if some farm gets burnt it’s start giving message to the farmers and also we will give fertilizers to the irrigation plant such that good yield to be produced.
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.
The document proposes a novel real-time monitoring system for solar power plants utilizing an artificial neural network running on low-cost hardware. The system monitors temperature, dust, and rain sensors to detect faults or degradation in photovoltaic panels. If sensor values exceed thresholds or panels produce significantly less power than predicted, maintenance is triggered. The system was implemented using an Arduino, sensors, an LCD display and connects to IoT for remote monitoring. It aims to efficiently maintain solar panels for reliable energy generation.
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
This document describes an IoT-based water monitoring system that measures water levels in main tanks, detects leaks, monitors water consumption by flats, and detects water flow and turbidity. Sensors connected to an Arduino board collect data on these parameters and transmit it over WiFi to a cloud platform for display and analysis. The system aims to enable real-time water monitoring to optimize usage, detect issues, and ensure a clean water supply.
This document describes an IoT-based greenhouse automation system that uses sensors and a microcontroller to automatically monitor and control the greenhouse environment. The system aims to replace manual supervision with sensors that measure soil moisture, temperature, humidity, light, rainfall, and gases. The microcontroller analyzes the sensor data and activates actuators like water pumps and lights to maintain optimal conditions for plant growth. This automation reduces costs and human errors compared to traditional greenhouse management.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
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This document presents a design for a low-cost smart water monitoring system using IoT (Internet of Things) technology. The system uses several sensors to measure water quality and quantity parameters like temperature, pH, turbidity, and water flow. An Arduino microcontroller processes the sensor data and sends it over WiFi to a cloud server for storage and analysis. The system can automatically stop water flow if a certain flow level is reached using an ultrasonic sensor. This smart water monitoring system allows users to monitor water usage and quality in real-time through a mobile or web application.
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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.
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Revamping the process of agriculture is a
very critical stage for a country like India with a
population of 1.3 billion people. A huge amount of
architectural and technological modifications has been
adopted in the past years to improve the productivity of
the agricultural field.
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The document proposes developing an IoT-based remote water monitoring and theft prevention system using a microcontroller to record flow rates from a flow sensor and control solenoid valves. It reviews existing automated water distribution systems using various sensors and communication protocols. The proposed system would use an Ethernet shield to send sensor data to the cloud and detect water theft by comparing total water usage to amounts distributed.
The document summarizes an IoT-based smart gardening system that was designed to automate gardening tasks and make gardening easier. The system uses sensors like a soil moisture sensor and temperature sensor to monitor plant conditions. It includes a microcontroller, sensors, actuators like a servo motor and sprinkler, and an LCD display. The system can automatically water plants based on soil moisture levels, open a shelter when needed, and save water and electricity compared to manual gardening.
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This document describes a water management system using IoT and wireless sensor networks. The system uses sensors to monitor water levels in a tank. An Arduino board connects to an ultrasonic sensor and WiFi module. The sensor measures water levels and sends the data to the cloud via WiFi. Users can access the water level information through a website. The system automatically controls a water pump motor to keep water levels between a high and low threshold by turning the pump on or off as needed. The goal is to optimize water usage and prevent overflow or empty tanks through real-time monitoring and control enabled by IoT technologies.
This document describes a student project from Sanskrithi School of Engineering on an IoT enabled smart irrigation system with weather forecasting. The system uses soil moisture, temperature, and weather data to predict irrigation needs and control a drip irrigation system. It was guided by Dr. D. Nagaraju and presented by 5 students. The system collects sensor data wirelessly via the cloud and a web interface provides real-time insights and predictions. Initial results over 3 weeks show the system's predictions are encouraging. Future work could link the system to IoT for remote monitoring and use data logging to further optimize irrigation scheduling.
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This document describes an automated plant watering system using IoT. It aims to develop a smart watering system that can identify soil moisture levels and reduce manual labor and water waste. It discusses the limitations of existing manual systems and outlines the objectives of the project. The system design, components, cost estimation, implementation, and testing are described at a high level. The system uses moisture sensors to detect soil moisture levels and a water pump to automate watering when levels drop below a threshold. An Android app is also proposed to monitor plant health and moisture levels remotely.
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- Sensors will monitor parameters like pH, temperature, and vibration of the cooling tower and dosage pump.
- If parameters exceed thresholds, corrective actions like varying the pump speed will be taken to control pH.
- An Ethernet module will transmit sensor data to the cloud to allow remote monitoring via mobile devices.
- The system aims to maintain efficient and reliable cooling tower operation while minimizing total cost.
This ppt is helpful in learning the Automatic Irrigation System Using IoT-based Sensors to sense the Temperature, Humidity, and Soil Moisture present in the soil and surrounding air.
IOT attracts people and makes people's life easy where people from anywhere can control their all-electric appliances with just one single click.
This document describes an IoT-based smart agriculture monitoring system project. The system uses sensors to monitor humidity, moisture, and water levels. If the water level drops below a threshold, the system automatically starts the water pump. If the temperature rises above a set level, a fan is activated. Sensors send SMS alerts and display readings on an LCD screen. The system aims to automate agriculture monitoring using IoT sensors and devices to remotely track field conditions.
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Irrigation is a scientific process of artificially supplying water to the land or soil that is being cultivated. Traditionally in dry regions having no or little rainfall water had to be supplied to the fields either through canals or hand pumps, tube wells. Conventional irrigation methods had severe problems such as increase in workload of farm labor and often it lead to problem such as over-irrigation or under-irrigation, and leaching of soil.
To develop smart based automatic Farming system capable of controlling many electrical appliances in an irrigation or field using android platform with a mobile handset, where data transmission is carried wirelessly. That’s why design Wireless transmission media using through and its interfacing peripherals for wireless data communication between Mobile Handset and appliances is our need. Hence to create a database of user interface in order to characterize the electric signals to atomize farming system. It also prevents for heat control if some farm gets burnt it’s start giving message to the farmers and also we will give fertilizers to the irrigation plant such that good yield to be produced.
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This document describes an IoT-based water monitoring system that measures water levels in main tanks, detects leaks, monitors water consumption by flats, and detects water flow and turbidity. Sensors connected to an Arduino board collect data on these parameters and transmit it over WiFi to a cloud platform for display and analysis. The system aims to enable real-time water monitoring to optimize usage, detect issues, and ensure a clean water supply.
This document describes an IoT-based greenhouse automation system that uses sensors and a microcontroller to automatically monitor and control the greenhouse environment. The system aims to replace manual supervision with sensors that measure soil moisture, temperature, humidity, light, rainfall, and gases. The microcontroller analyzes the sensor data and activates actuators like water pumps and lights to maintain optimal conditions for plant growth. This automation reduces costs and human errors compared to traditional greenhouse management.
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Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
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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.
2. Content
Why we need of Smart Irrigation
System
Sensors Used
• Soil Sensor
• Jumper Wires
• NodeMCU
• Relay
• Water Motor Pump
• Humidity and Temperature Sensor
Pipe
BLYNK
Connection
Code
Advantage And Disadvantage
3. • Most of the farmers use large
portions of farming land and it
becomes very difficult to reach and
track each corner of large lands.
Sometime there is a possibility of
uneven water sprinkles. This result in
the bad quality crops which further
leads to financial losses. In this
scenario the Smart Irrigation System
using Latest IoT technology is helpful
and leads to ease of farming
• In 31 March 2018, three
farmers died due to electric shock at
the time of given watering to the
plants and so many case of electic
shock died farmers at the time of
given water to the plants.
4. Soil Moisture Sensor
• Soil moisture sensors measure the
volumetric water content in soil. Since the
direct gravimetric measurement of free soil
moisture requires removing, drying, and
weighing of a sample, soil moisture sensors
measure the volumetric water content
indirectly by using some other property of the
soil, such as electrical resistance, dielectric
constant, or interaction with neutrons, as a
proxy for the moisture content.
Latest Soil Moisture Sensor
5. Specifications:-
• Operating voltage: 3.3V~5V
• Dual output mode,analog output more accurate
• A fixed bolt hole for easy installation
• With power indicator (red) and digital switching output indicator (green)
• Having LM393 comparator chip, stable
• Panel PCB Dimension: Approx.3cm x 1.5cm
• Soil Probe Dimension: Approx. 6cm x 3cm
• Cable Length: Approx.21cm
• VCC: 3.3V-5V
• GND: GND
Old Soil Moisture Sensor
6. Jumper Wires
Jumper wires are simply wires that have connector pins at each end, allowing them to be used
to connect two points to each other without soldering. Jumper wires are typically used
with breadboards and other prototyping tools in order to make it easy to change a circuit as
needed. Fairly simple. In fact, it doesn’t get much more basic than jumper wires.
Types Of Jumper Wires
Jumper wires typically come in three versions: male-to-male, male-to-female and female-to-
female. The difference between each is in the end point of the wire. Male ends have a pin
protruding and can plug into things, while female ends do not and are used to plug things into.
Male-to-male jumper wires are the most common and what you likely will use most often. When
connecting two ports on a breadboard, a male-to-male wire is what you’ll need.
7. Types of Jumper Wire
Male to Female Female to Female Male to Male
8. NODEMCU (ESP8266)
• NodeMCU is an open
source LUA based firmware
developed for ESP8266 wifi chip.
By exploring functionality with
ESP8266 chip, NodeMCU
firmware comes with ESP8266
Development board/kit i.e.
NodeMCU Development board.
• NodeMCU Dev Kit/board
consist of ESP8266 wifi enabled
chip. The ESP8266 is a low-
cost Wi-Fi chip developed by
Espress if Systems with TCP/IP
protocol. For more information
about ESP8266, you can
refer ESP8266 WiFi Module.
9. Relay
• A standard and generally used relay is made
up of electromagnets which in general used as
a switch. Dictionary says that relay means the
act of passing something from one thing to
another, the same meaning can be applied to
this device because the signal received from
one side of the device controls the switching
operation on the other side.
10. Water Pump Motor
(Only for small projects)
• Specifications:
• Operating Voltage : 2.5 ~ 6V
• Operating Current : 130 ~ 220mA
• Flow Rate : 80 ~ 120 L/H
• Maximum Lift : 40 ~ 110 mm
• Continuous Working Life : 500 hours
• Driving Mode : DC, Magnetic Driving
• Material : Engineering Plastic
• Outlet Outside Diameter : 7.5 mm
• Outlet Inside Diameter : 5 mm
11. Humidity and Temperature Sensor
Specification
Supply Voltage: +5 V
Temperature range :0-50 °C error of ± 2 °C
Humidity :20-90% RH ± 5% RH error
Interface: Digital
This DHT11 Temperature and Humidity Sensor features a calibrated digital signal output with the temperature and
humidity sensor capability. It is integrated with a high-performance 8-bit microcontroller. Its technology ensures the
high reliability and excellent long-term stability. This sensor includes a resistive element and a sensor for wet NTC
temperature measuring devices. It has excellent quality, fast response, anti-interference ability and high
performance.
12. Pipe
Flexible PVC is a soft, flexible material that ranges in appearance from transparent
to opaque. PVC is manufactured with plasticizers, which confer rubbery properties
on the end product. By adjusting the type and amount of plasticizers, plastic
molders can achieve a large range of flexible compositions.
Since the plasticizers are small molecules, they can also “escape” the polymer more
easily, which is the reason why PVC (also called “vinyl”) is often cited as a health
and environmental hazard. This comes from chemicals called napthalates, which
are the real reason why PVC is soft.
13. Blynk App
• Pavel Baiborodin – Founder of Blynk
• Blynk is a Platform with IOS and Android apps to control
Arduino, Raspberry Pi and the likes over the Internet. It's a digital
dashboard where you can build a graphic interface for your
project by simply dragging and dropping widgets.
• Blynk is a new platform that allows you to quickly build
interfaces for controlling and monitoring your hardware projects
from your iOS and Android device. After downloading the Blynk
app, you can create a project dashboard and arrange buttons,
sliders, graphs, and other widgets onto the screen
14. Open Blynk App
After Registration
Create New Project
Name of your Project
Choose Your Device
If you want to Add
New Device
15. Create a button
Do Button Setting
Turn to push button
Select your pin from
Hardware in which
you connect
After all done tap on
play button(in which
circle)
Tap on button
18. Code of Smart Irrigation
System
#define BLYNK_PRINT Serial
#include<ESP8266WiFi.h>
#include<BlynkSimpleEsp8266.h>
char auth[] ="G0qFaAvAeW5_bU5JWUDT-fqEMhWWAPXr";
const int sensorPin = 4;
int sensorState = 0;
int lastState =0;
void setup() {
Serial.begin(9600);
Blynk.begin(auth,"AndroidAP","mere ko nahi pata");
pinMode(sensorPin,INPUT);
}
void loop() {
Blynk.run();
sensorState = digitalWrite(sensorPin);
Serial.println(sensorState);
if(sensorState==1 && lastState == 0 )
19. Serial.println("needs water, send notification");
Blynk.notify("I am very Thirsty");
lastState = 1;
delay(1000);
}
else if(sensorState == 1 && lastState==1 )
{
Serial.println("has not watered yet");
delay(1000);
}
else{
Serial.println("I am Full");
lastState=0;
delay(1000);
}
delay(1000);
}
20. Advantages of Smart irrigation System
1. to save water
2. Smart irrigation also deals with efficiencies in the delivery of the water. There are generally
four types of delivery: surface, sprinklers, trickle and subsurface methods.
3. It distributes water through irrigation ditches, letting gravity do the work.
4. Sprinklers distribute water through the air like rain and can be fixed or mobile.
5. Trickle irrigation spreads water very locally to the ground surface.
6. Controlling these two set points reduces the amount of water used by linking it to the
moisture level needed in the soil for a particular crop.
7. A particular land area is too dry and starting an irrigation routine or to stop irrigation when a
particular saturation point is met because a soil moisture level has been reached.
8. Use local soil moisture data drawn from sensors in the ground to support informed decisions
about watering schedules.
21. Dis-advantages of Smart irrigation System
1. Agriculture being a natural phenomenon relies mostly on nature, and man predict or control
nature let it be rain drought sunlight availability. pests control etc. So ever implementation IoT
system agriculture.
2. The smart agriculture need availability on internet continuously. Rural part of the developing
countries did not fulfill this requirements. Moreover internet is slower.
3. Fault sensor or data processing engines can cause faulty l decisions which may lead to over
use of water, fertilizers and other wastage of resources.
4. The smart farming based equipment require farmer to understand and learn the use of
technology. This is the major challenge in adopting smart agriculture framing at large scale
across the continues.
5. It also has some issues which have to be tracked properly in order to attain the full benefit of
it.
6. The current IoT systems are not scalable or reliable and the initial costs are high which the
farmers cannot afford.