Applications of Artificial Intelligence in Agriculture.

      Аннотация: This book highlights the application of machine learning technologies in the agricultural sector. It discusses crop yield prediction, disease and pest detection, precision agriculture, and decision support systems. The book emphasizes data collection and pre-processing methodologies specific to agriculture and showcases real-world case studies. Additionally, the function of machine learning and deep learning in precision agriculture and crop management is investigated. The book addresses challenges and emerging trends while underscoring the potential for further advancements in the field. Overall, it presents a comprehensive overview of how these technologies can revolutionize farming practices and contribute to sustainable agriculture.

Ключевые слова: Machine Learning, Deep Learning, Remote sensing, Precision Agriculture, crop management