Leveraging Remote Sensing and AI for Smart Crop Monitoring and Management

Abstract

Data-driven, farmer-centric solutions are critical in the dynamic field of agriculture, which is defined by constantly shifting market needs and environmental conditions. In order to transform farming methods through the integration of cutting- edge technologies, this article introduces the comprehensive Crop Planning and Market Information System. The proposed system optimizes crop health by facilitating disease identification and providing customized cures through the use of remote sensing and AI techniques. Moreover, it makes customized crop suggestions that are in line with market trends by utilizing soil analysis and meteorological data. The system provides farmers with up-to-date market information and chances for agricultural stock launches, addressing their vital need to be informed about market conditions. It gives crop planning abilities, utilizing a choice tree set of rules. Farmers can enter their soil parameters, permitting the machine to endorse the most suitable crops for cultivation primarily based on their unique situations. The proposed system also offers disease detection functionality, leveraging Efficient Net B3 for image processing. This function allows farmers to capture photographs of their plants and accurately come across any diseases present. To enhance accessibility, the proposed mobile application features a user-friendly dashboard supporting multiple languages and provides access to agricultural training and educational programs. Ultimately, the system aims to empower farmers, improve crop yields, and drive sustainable agricultural practices in an ever-evolving world.