SMAGRI Applications of digital twins and machine learning in climate-smart agriculture, final report

This report explores how Digital Twins (DT), and Machine Learning (ML) can help farmers achieve sustainable, resilient, and productive farming techniques by addressing important challenges with modern agriculture. The report aims to summarize information and state-of-the-art on how these technologies can support sustainable, productive, and efficient agricultural methods through analyzing their applications, advantages, and challenges.