[PDF] Robotics and Mechatronics for Agriculture - Ebook Free

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
effcient 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 feld 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 fnd 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 “feld 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 feld 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 5 presents
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 feld 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.