Artificial intelligence and sustainable agriculture

Climate change is one of the most significant threats facing the future of the global agricultural sector. Rising temperatures, erratic weather patterns, and increased droughts and floods are disrupting traditional farming systems. The world is witnessing numerous manifestations of climate change, and its cascading effects pose significant challenges to global agricultural systems, threatening global food security and ecosystems. This book explores the role of artificial intelligence (AI) in addressing the cascading impacts of climate change on sustainable agriculture. It focuses on presenting international experiences and innovative AI-based applications to counter these consequences, which operate by integrating machine learning models, remote sensing, and predictive analytics using big data. The book emphasizes that AI has the potential to enhance climate-resilient sustainable agricultural practices, improve resource utilization, and mitigate environmental degradation. The book also presents recent advancements in AI technologies, such as precision agriculture, crop modeling, and climate forecasting, and their contributions to improving agricultural productivity and sustainability. Case studies from various countries illustrate how AI has been leveraged to support sustainable agricultural practices, mitigate the effects of climate change, and promote efficient resource management. The book also discussed the model for using artificial intelligence in strategic crop cultivation, and addressed the main challenges, namely access to data and the ethical challenges of using artificial intelligence in agriculture.