In India, agriculture is one of the most significant and traditional jobs. India's economy depends heavily on agriculture, hence food production must be handled with the utmost care. Plants that are infected by viruses, fungi, and bacteria suffer from a reduction in both quantity and quality of production. due to such a significant production loss. Thus, taking good care of plants is essential for the same. This project provides an overview of a farming robot powered by a Raspberry Pi that uses image processing techniques to identify different plant diseases. Farming Robot offers more effective ways to identify plant diseases brought on by bacteria, viruses, or fungi. Increasing the number of eye observations to identify diseases is inaccurate. When people overuse pesticides, they can develop dangerous chronic illnesses. Farmers are now suffering from numerous chronic illnesses, some of which are fatal, as a result of pesticides being sprayed on crops. Overuse also degrades the nutritional content of plants. For farmers, it means massive productivity losses. Therefore, it is beneficial to apply image processing techniques to detect and classify diseases in agricultural applications utilising a Raspberry Pi-based farming robot..

In India, agriculture is one of the most significant and traditional jobs.