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Robotics and Mechatronics for Agriculture

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Robotics and mechatronics have been used in many arenas, one of which is the agricultural industry. Using robotic based machines in agriculture will become common in the future. Automatic machines will replace human beings in agriculture and they can greatly help farmers to achieve efficient farming. This book will focus on the robotics and mechatronics that are used in agriculture.

 The aim of the book is to introduce the state-of-the-art technologies in the field of robotics and mechatronics for agriculture in order to further summarize and improve the methodologies on the agricultural robotics.

 Advances made in the past decades have been described in this book. We would like to thank all the authors for their contributions to the book. We are also grateful to the publisher for supporting this project and Vijay Primlani for his assistance both with the publishing venture and the editorial details. 

We hope the readers find this book informative and useful. This book consists of 8 chapters. Chapter 1 focuses on the function and mechanism of aeration for process optimization.

 Chapter 2 discusses key aspects of a design of a robotic platform for the management of crops in agriculture. In particular, the system considered seeks to address the increasing threat of weed species resistant to herbicide. 

Chapter 3 presents a case study of an automated “field scout” ground platform equipped with the means for both sensing and manipulating its changing environment for the purpose of providing actionable data (including samples of physical field specimens) to a farmer.

 Chapter 4 presents a critical and detailed review about the application of simple color cameras to cover different aspects of agricultural industry. Chapter 5presents some existing robotic based farming machineries, and some main issues in the robotic based farming are also illustrated. 

 Chapter 6 reviews collaborative multi-agent systems in agricultural applications involving a RA to RA and RA to human agent (HA) collaboration. Common systems’ control architecture and design, tools and middleware, planning and decision execution, cooperation behaviour, and communication systems are discussed with recently developed systems for agricultural applications.

Chapter 7 proposes an adaptive and robust model predictive controller to address the problem of wheel slip in field vehicles. Chapter 8 focuses on model reference adaptive control of dynamical systems with matched system uncertainties but unmatched disturbances. 

The proposed control framework has a high potential to guarantee the completion of autonomous seeding, harvesting, and/or row cropping via unmanned ground vehicles, or farm imaging and monitoring via unmanned aerial vehicles with high accuracy. Finally, the editors would like to acknowledge all the friends and colleagues who have contributed to this book