Autonomous Agricultural Robot Based on IOT

Climate change, a lack of soil nutrients, a decrease in pollinators, plant diseases, and water wastefrom conventional irrigation techniques that cause water clogging on top soil are all contributingfactors to our nation’s food issue. The issues are resolved by the suggested model, which contributesto 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 moisturecontent and nutrients in order to develop a workable and reasonably priced model. DHT11 is used tomeasure temperature and humidity. And PH of soil is measured by PH sensor.With the help of sim900 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 recognitionand picture classification, which may identify pests, animals, and birds.This project addresses agricultural challenges like climate change, soil nutrient loss, declining pollinators, plant diseases, and inefficient irrigation. It uses the VEGA AS1061 microcontroller with sensors to monitor soil moisture, pH, nutrients, and environmental conditions. Data is sent to farmers via the SIM900 GSM module for timely action. Machine learning enhances the system by identifying pests, animals, and birds through image classification.