Autonomous Agriculture System

Abstract

Agriculture, vital to India’s economy, faces challenges due to outdated technology and rural-to-urban migration, impacting productivity. The rise of IoT promises advanced farming, where autonomous robots play a key role in reducing human errors during manual spraying in plantations. As a crucial income source, Indian agriculture contends with diseases, pests, and climate changes. The IoT forms the basis for a server-based system that detects leaf diseases. A robot captures and categorizes plant images, triggering the pesticide sprayer for diseased plants. The robot, equipped with a weed removing blade, also sows seeds. An application, driven by a trained Neural Network model (CNN), identifies multiple plant diseases through image segmentation. A soil moisture sensor guides water supply, and the robot’s seed sowing mechanism, featuring a plough, pelton wheel, and leveller, enhances efficiency by addressing various farm tasks. This holistic approach optimizes farming practices without compromising effectiveness.