Frontiers of Artificial Intelligence in Agriculture and Environment

Changes in the environment make agriculture incredibly complex and unpredictable. Because of our limited resources and expanding population, we need a more clever approach to farming that is both sustainable and competitive. In order to improve thinking and decision-making through the use of AI approaches, digital agriculture refers to the use of digital technologies for the gathering, preservation, and subsequent analysis of automated agricultural records. Precision agriculture is one such technique that monitors temperature, humidity, soil moisture, and composition to determine the optimal fertilizer and water requirements for a given crop and different farm sites. Digital agriculture refers to the use of digital technologies for automated agricultural data gathering, archiving, and subsequent analysis in order to improve reasoning and decision-making by utilizing artificial intelligence approaches. One such technique is precision agriculture, which monitors soil moisture and composition, temperature, and humidity to determine the ideal fertilizer and water requirements for a given crop and different agricultural sites. The use of digital technologies for the gathering, storage, and subsequent analysis of automated agricultural records in order to improve reasoning and decision-making by utilizing artificial intelligence approaches is referred to as digital agriculture. The ideal fertilizer and water requirements for a given crop and different farm sites are determined by precision agriculture, which monitors temperature, humidity, soil moisture, and composition.

This edited volume examines the use of AI to improve crop output. It talks about how, with the world's population expanding, effective agriculture management is desperately needed. The book discussed advancements in decision-making systems using a range of technologies, including deep learning, soft computing, machine learning, and image processing. It uses data science techniques, the Internet of Things, wireless communications, and a range of sensors and actuators to provide precise, quick, and affordable solutions to agricultural issues. The quantity and quality of crop harvests are ultimately enhanced by using AI. The book provides readers with the confidence to concentrate their efforts on developing models and prototypes that benefit society and the environment, making it a vital resource for anybody wishing to shape the future of intelligent agriculture. It is a comprehensive guide for scholars, researchers, and students interested in learning more about the cutting-edge subject of artificial intelligence in agriculture. Researchers, scientists, and subject matter experts will gain invaluable knowledge to guide their study and contributions to this field.