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Design And Implemantation Iot Based Smart Village Farming With Sun Detecting Solar Powered Renewable Energy.

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dc.contributor.author Labib, Farhan
dc.contributor.author Akter, Mahfuza
dc.date.accessioned 2025-09-02T03:30:27Z
dc.date.available 2025-09-02T03:30:27Z
dc.date.issued 2024-02-05
dc.identifier.citation ICE en_US
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/14169
dc.description Project en_US
dc.description.abstract In order to implement effective and sustainable farming methods, this project suggests developing a smart farming system that makes use of cutting-edge sensor technology and Internet of Things integration. In this project, a PIR motion sensor, an infrared sensor, a rain detection sensor, a soil moisture sensor, and a humidity sensor have been used. For the actuator, a servo motor has been used to control irrigation valves and gates. For the central control system, an ESP8266 microcontroller with Wi-Fi has been used for data collection by mobile app communication, which is powered by solar panels for sustainable operation where sun-detecting solar panels capture renewable energy. In this project, the PIR motion sensor has detected and notified animals, or trespassers. An infrared sensor has been used for automated watering and feeding based on distance and soil moisture, which is useful for monitoring crop and animal positions. A rain detection sensor has been used to measure rainfall data, alert the farmer about impending flooding, and automate the irrigation system based on rain data. A soil moisture sensor has been used to determine soil moisture content, which enables automatic irrigation or notifies the farmer based on soil conditions, and a humidity sensor has also been used to measure air humidity, which gives real-time monitoring and actuator control via a mobile app. This project has been tested several times and has successfully achieved the desired output. This Internet of Things (IoT)-based Smart Village Farming system presents a viable means of advancing sustainability, updating agricultural methods, and providing farmers with data-driven decision-making resources. en_US
dc.description.sponsorship DIU en_US
dc.publisher DAFFODIL INTERNATIONAL UNIVERSITY en_US
dc.subject Solar Energy en_US
dc.subject Maximum Power Point Tracking (MPPT) en_US
dc.subject Sun-Tracking Mechanism en_US
dc.subject Low-Power Sensor Networks en_US
dc.subject LoRa/LoRaWAN / NB-IoT en_US
dc.subject Soil Moisture / pH / EC Sensors en_US
dc.title Design And Implemantation Iot Based Smart Village Farming With Sun Detecting Solar Powered Renewable Energy. en_US
dc.type Other en_US


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