A Novel Crop Field Surveillance Robot Design using Classification Norms with Digital Image Processing Assistance

Screening and controlling the use of pesticides and herbicides from seed to harvesting are all part of good agricultural production, as is detecting and treating plant diseases and nutritional shortages. The availability as well as ground visibility of remote sensing systems at important periods of crop growth continues to be major challenges, despite an increase in the quantity of these solutions [1]. Ground-based Agricultural Crop Monitoring Robot addresses the difficulties of big and sophisticated satellite-based solutions and the help desk form of m-Services. Automated pesticide spraying and disease detection are made possible by this tiny, portable and dependable platform. In the future, farmers will be able to get a comprehensive image of the farm, as well as decision-support information, for planning reasons. This system contains information on the creation of an agricultural crop monitoring robot utilizing the Modified Classifier Logic for Crop Monitoring (MCLCM) algorithm, live testing consequences from real world plantations as well as a look into the future.