Vol. 7, Issue 10, Part B (2025)

Crop residues represent a critical yet underutilized resource in sustainable agriculture. Mismanagement of residues, such as open-field burning, contributes to greenhouse gas (GHG) emissions, loss of soil fertility, and degradation of soil health. With the advent of digital agriculture, Artificial Intelligence (AI) offers transformative solutions for residue management, enabling climate-smart and soil-resilient practices. This review synthesizes recent innovations in AI applications for predicting residue availability, monitoring decomposition, optimizing residue incorporation, and converting residues into bioenergy, compost, or biochar. The integration of AI with remote sensing, Internet of Things (IoT), and big data analytics enhances precision management at farm and landscape scales. By harnessing AI, crop residue management can shift from a waste-oriented system to a resource-efficient, carbon-sequestering, and soil-improving strategy, supporting climate-smart agriculture globally.