Review on IoT, Remote Sensing, GIS and AI for Climate Smart Agriculture

To address these issues, this paper examines the integration of artificial intelligence (AI) and remote sensing (RS) into climate-smart agriculture (CSA). By utilizing AI's strengths in predictive analytics, crop modeling, and precision agriculture, as well as RS's strengths in climate projections, land management, and continuous surveillance, this review demonstrates how these advancements can improve agricultural resilience, productivity, and sustainability. One of the main strategies discussed was combining AI and RS to control risks, optimize resource use, and improve agricultural practice selections. The review also covers the issues of capacity building, policy frameworks, and accessibility that prevent these technologies from being widely used.This review describes how IoT, AI, GIS, and remote sensing can help CSA and offers details on how they might help ensure food systems' security in the face of climate change.