Applications of Artificial Intelligence and Data Science in Sustainable Agriculture: A Review of Techniques and Case Studies

Abstract

This chapter examines how these disciplines are transforming agriculture through the implementation of advanced techniques that enable farmers to address complex challenges and improve their operations. Artificial Intelligence offers solutions that automate and optimise agricultural processes, from planting to harvesting, facilitating data-driven decision-making and improving accuracy in crop management. On the other hand, Data Science provides advanced analytical tools that allow the extraction of valuable insights from large volumes of agricultural data. By analysing data from various sources, such as in-field sensors and monitoring systems, farmers can gain a deeper understanding of their operations and make informed decisions that optimise resource use and mitigate climatic and operational risks. By reducing excessive use of water, fertilisers and pesticides, and minimising waste, these advanced technologies play a crucial role in protecting ecosystems and mitigating climate change.