Autonomous Robot System Development for Health Indication and Monitoring of Crops Using AI-ML-Based System

Robotic systems have progressed and grown more available in recent years. They have been gradually but steadily integrated and used in several procedures and industries, particularly farming, as a consequence. Nowadays, agriculture machines are being developed to take the place of humans in labor-intensive, thing, or hazardous activities. Depending on the kind of vehicle, its detectors, motors, and telecommunication networks, agro mobile robots provide a number of advantages. The most significant and significant profession on the globe is gardening. The fundamental main objective of the task is to construct an automated multifunctional agricultural robot car. It is used to boost farming efficiency while decreasing the number of individuals who labor in fields and improving the accuracy of the task. The robot structure includes a camera that provides a real-time view of the fields. We have two systems in our project:1.Crop monitoring and field health indicator2.Robot automobile driving.The first system includes similar sensors to determine soil, warmth, and dampness. The crop then is controlled by concrete measures, and the collected data is also sent to the farmer through a Blynk app. Animals assaults on rural property and human crop stealing can cause significant losses to the cultivated produce. In an agricultural region, violators may be found using a Sensor.Whenever a fire breaks out in croplands brought on by the sun's radiation or a lightning strike—we utilized fire sensors in early diagnosis and an infrared sensor to identify obstacles. A sensor was added to the robotic so that it could get a real opinion of produce and its environs. Ai systems are also being used to track farm progress and evaluate crop yield. Moreover, this technology has automatic irrigation and insecticide sprinkling.