Robotics And Mechatronics For Agriculture
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Robotics and Mechatronics for Agriculture
The aim of the book is to introduce the state-of-the-art technologies in the field of robotics, mechatronics and automation in agriculture in order to summarize and review the improvements in the methodologies in agricultural robotics. Advances made in the past decades are described, including robotics for agriculture, mechatronics for agriculture, kinematics, dynamics and control analysis of agricultural robotics, and a wide range of topics in the field of robotics, mechatronics and automation for agricultural applications.
Robotics & Mechatronics in Agriculture
Author: Dr. Shankar Swarup Das
language: en
Publisher: IIP Iterative International Publishers
Release Date: 2025-07-14
Agriculture, the cornerstone of human civilization, is undergoing a profound transformation in the 21st century. With the mounting global demand for food and the growing concerns about labour shortages, environmental impact and efficiency. The integration of advanced technologies into farming practices is no longer a choice it is a necessity. This book, Mechatronics and Robotics in Agriculture, is a timely and comprehensive exploration of how interdisciplinary engineering can revolutionize agricultural systems and practices. The primary objective of this book is to provide students, researchers, and professionals with a solid foundation in mechatronics the synergy of mechanical systems, electronics, and computer control and its pivotal role in automating agricultural processes. Through a structured journey, the reader is introduced to the basic definitions, historical evolution, and key design methodologies of mechatronic systems, followed by a detailed discussion on system interfacing, instrumentation, and microprocessor-based control mechanisms. These form the back bone of intelligent and adaptive agricultural equipment. Further chapters delve into the hardware and software technologies underpinning modern robotics including motor drives, sensors, microcontrollers and communication protocols. The final units emphasize real-world applications offering insights into how robots are employed in tasks such as harvesting, weeding, pruning, and crop monitoring. These innovations are not only enhancing precision and productivity but are also paving the way for sustainable and data-driven farming. We hope this book serves as a practical and conceptual guide for those looking to understand and contribute to the future of smart agriculture. By bridging engineering principles with agricultural needs, this text empowers readers to envision and build solutions that will shape the farms of tomorrow.
AI in Agriculture for Sustainable and Economic Management
This book explains the best practices and their respective outcomes in artificial intelligence (AI) to meet sustainable development goals and demands. It examines the practices, technologies, and innovations at the core of various research issues to meet the sustainable development demands in agriculture to balance social, economic, and environmental sustainability with AI. AI in Agriculture for Sustainable and Economic Management discusses AI-driven nanotechnology approaches for precision agriculture and solutions for the optimization of farming resources and their management. The authors examine the impact of AI in agriculture and how technology-driven sustainable farming with smart waste-water treatment for zero waste for the circular economy can extend crop shelf-life. It discusses how AI expertise can be advantageous to envisage and evaluate the increasing demands of productivity, and to help to maintain ecosystems and strengthen the capacity for crop adaptation in response to drastic changes in climate and weather, natural disasters, and other significant factors. These findings and practices are also useful to emphasize how an agricultural ecosystem can be advanced and industrialized so that it can aid not only large commercial farms but also smaller farmlands. Finally, it also discusses how AI practices will help to find a balance between the volume of food manufactured and the proper maintenance of the ecosystem. This book is intended for researchers and upper graduate students interested in artificial intelligence in agricultural engineering, AI advances in crop science and technology for sustainable development.