Autonomous Agricultural Robot based on IoT and Neural Networks

Climate change, a lack of soil nutrients, a decrease in pollinators, plant diseases, and water waste from conventional irrigation techniques that cause water clogging on top soil are all contributing factors to our nation’s food issue. The issues are resolved by the suggested model, which contributes to a rise in agricultural irrigation efficiency. Microcontroller VEGA AS1061 is used in this system. The purpose of the spack fun soil moisture sensor is to periodically measure the soil’s moisture content and nutrients in order to develop a workable and reasonably priced model. DHT11 is used to measure temperature and humidity. And PH of soil is measured by PH sensor. With the help of sim 900 GSM module the status of soil moisture, PH level, soil nutrients and temperature is sent to the farmers’ phone. Farmers are provided with information using machine learning object recognition and picture classification, which may identify pests, animals, and birds.