Internet of Things and Unmanned Aerial Vehicles-based Applications for High-Yield Precision Agriculture

The text focuses on the basic algorithms used for hard problems or multi-objective problems in precision agriculture. It comprehensively discusses precision agriculture techniques such as the use of global positioning systems, crop sensors, geographic information systems, remote sensing, and Soil sampling. Features:Presents the Internet of Things-based methods for the detection of diseases and water requirements in precision agriculture. Focuses on the basic algorithms used for hard problems or multi-objective problems in precision agriculture. Covers applications of UAVs and machine learning in precision agriculture water management. Explains geospatial technologies for the management of pests and diseases in crops. Showcases case studies on leveraging the Internet of Things in agriculture for high yields. It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electrical and communications engineering, computer science and engineering, agricultural science and engineering, and information technology.