Next-Gen Smart Farming

Next-Gen Smart Farming: Integrating AI, IoT, Digital Twin, and Robotics for Cyber-Physical Systems, 1st Edition, provides a reference overview of physical and computerized frameworks created to improve agricultural performance. Directed at researchers, scientists, and academics within digital agriculture, this work examines how automated systems and data infrastructure interface across modern production settings.

The text surveys sensing technologies alongside spatial analysis, decision modeling, and field automation. Chapters detail how physical instruments gather environmental metrics, which algorithms then process to support crop monitoring and yield forecasting. By integrating Internet of Things devices with machine learning models, the volume explains the architecture required to manage real-time agricultural data streams effectively.

A focal case study centered on leaf nutrient sensing shows data-driven optimization in precision fertilization routines. This practical demonstration supports the needs of extension specialists, policymakers, and industry experts developing field-ready agricultural technologies across commercial and research settings.