Image Processing for Smart Agriculture and Precision Farming

Precision farming and smart agriculture are revolutionizing traditional farming practices by incorporating modern technologies like image processing, machine learning, and remote sensing. This paper explores how image processing techniques can be applied to monitor crops, detect diseases, optimize irrigation, and improve yield predictions in precision farming. Through the use of drones, satellite imagery, and ground-based sensors, farmers can obtain real-time data for more efficient and sustainable agricultural practices. The integration of these technologies promises not only to increase productivity but also to reduce water usage, limit chemical applications, and promote sustainable agriculture. DOI - https://doi.org/10.65525/SVUP.9788199565463.2026.115-120