Deep Learning-Based Crop Disease Detection using IoT and Image Processing

Abstract

Crop diseases pose a significant threat to global agricultural productivity, with the potential to cause severe economic losses, food shortages, and a negative environmental impact. In traditional agriculture, the early detection and timely management of plant diseases have been challenging tasks, often relying on manual inspection, expert knowledge, and reactive measures. However, as agriculture becomes more reliant on technology, innovative solutions have emerged to address these issues, offering more efficient, automated, and accurate methods for disease detection and management.