The purpose of this book is to explore the fundamentals and implementation strategies of smart agriculture through the integration of Artificial Intelligence and Internet of Things technologies. It examines critical aspects of planning and decision-making while providing recommendations for implementing efficient and effective intelligent agriculture solutions. Readers will gain valuable insights into how these smart technologies enhance productivity, sustainability, and precision in contemporary technology-driven farming systems.

This book:

• Discusses artificial intelligence-based 3D mapping of soil, smart weeding systems, and crop visualization in smart agriculture.
• Covers data analytics-based decision-making, improving crop quality based on precise prediction, minimizing the use of pesticides for better soil quality, and precision farming systems.
• Examines the problems like weather forecasting, crop prediction, calculation of pesticide quantity, irrigation requirement, and prediction of the right time for seeding.
• Highlights the role and importance of data visualization techniques in smart agriculture implementation.
• Presents the internet of things and artificial intelligence-based solutions for smart agriculture.

It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, and agricultural science and engineering.