Authors - Swati Suman, Sumit Ray, Ajay Kumar Prusty, Umesha C, Girish Prasad Rath, Sabyasachi Patnaik, Ankita Priyadarshini, Swagat Shubhadarshi, Pavan Kumar Pandey, Lalithamma M Abstract - Climate change has a significant influence on agriculture, affecting developing nations' food security and financial condition. Thus, the use of Digital Twins, Internet of Things (IoT) devices, and Artificial Intelligence (AI) may play an important role in transforming agriculture that is data-enabled in real time for crop development, high productivity, or climate mitigation. These technologies would aid in predicting drought start periods, optimizing irrigation scheduling to react to any specific climatic shift, and driving crop rotations in a given area. To power climate-resilient farming development, AI and IoT must be combined, resulting in DTs. This technology incorporates agricultural offices, animal monitoring, crop harvests, crop protection, and a DT for predictive maintenance purposes. AI is transforming agriculture by analyzing large volumes of data to forecast climate change consequences. Precision agriculture, a key AI tool, uses micro-localized applications based on syntactic sensory data, drones, and satellite data. Smart agriculture uses IoT, AI, Big Data analytics, and DTs to gather, integrate, and analyze data from various sources. AI-powered models can forecast future weather patterns, insect infestations, and disease outbreaks, enabling earlier intervention and higher output. These insights enable improved resource allocation, agricultural practice optimization, and enhanced farm output in the face of climate change and hence making the DT the possible game changer in the field of agriculture while keeping sustainability as one of its important cornerstones.
