An Integrated Digital Framework for Sustainable Crop Residue Management and AIBased Maize Leaf Disease Detection

Two of the greatest agricultural sustainability, crop productivity, and environmental health problems are crop residue burning and maize leaf diseases. Poor management of residue causes wastage of resources and air pollution, whereas late diagnosis of diseases causes losses of huge yields. To solve these problems, this paper will suggest an integrated intelligent agricultural system, combining a web-based Crop Residue Management System (CRMS) with a maize leaf disease detection module, based on deep learning.