Autonomous Agricultural Vehicles
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| Author | : Ali Roshanianfard |
| Publisher | : CRC Press |
| Total Pages | : 219 |
| Release | : 2023-07-19 |
| Genre | : Science |
| ISBN | : 1000907228 |
This comprehensive guide to agricultural robots is the ideal companion for any student or professional engineer looking to understand and develop autonomous vehicles to use on the modern farm. With world hunger one of the modern era’s most pressing issues, autonomous agricultural vehicles are a key tool in tackling this problem. Smart farming can increase total factory productivity through designing autonomous vehicles based on specific needs, in addition to implementing smart systems into day-to-day operations. This book provides step-by-step guidance, from the theory behind autonomous vehicles, through to the design process and manufacture. Detailing all components of an autonomous agricultural vehicle, from sensors, controlling algorithms, communication and controlling units, the book covers topics such as artificial intelligence and machine learning. It also includes case studies, and a detailed guide to international policymaking in recent years. Suitable for students and professionals alike, this book will be a key companion to those interested in agricultural engineering, autonomous vehicles, robotics, and mechatronics, in mechanical, automotive, and electrical engineering.
| Author | : Tomar, Pradeep |
| Publisher | : IGI Global |
| Total Pages | : 400 |
| Release | : 2021-01-08 |
| Genre | : Technology & Engineering |
| ISBN | : 1799817245 |
As technology continues to saturate modern society, agriculture has started to adopt digital computing and data-driven innovations. This emergence of “smart” farming has led to various advancements in the field, including autonomous equipment and the collection of climate, livestock, and plant data. As connectivity and data management continue to revolutionize the farming industry, empirical research is a necessity for understanding these technological developments. Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture provides emerging research exploring the theoretical and practical aspects of critical technological solutions within the farming industry. Featuring coverage on a broad range of topics such as crop monitoring, precision livestock farming, and agronomic data processing, this book is ideally designed for farmers, agriculturalists, product managers, farm holders, manufacturers, equipment suppliers, industrialists, governmental professionals, researchers, academicians, and students seeking current research on technological applications within agriculture and farming.
| Author | : |
| Publisher | : |
| Total Pages | : |
| Release | : 2004 |
| Genre | : |
| ISBN | : |
The purpose of this research is the development a versatile autonomous research vehicle as well as a machine vision row guidance system for the research vehicle. The vehicle developed will be relatively small compared to conventional agricultural machines with the vision of more and smaller vehicles being used in the future. Smaller autonomous vehicles are able to be more versatile and site specific as well as having lower input costs, but are only feasible if they are autonomous, since the cost of labor offsets the costs of technology. A two wheel differential steering vehicle was selected and adapted for autonomous use by incorporating electronic actuators into the conventional steering linkage. The machine vision was developed using a small CCD camera that was programmed to scan images to find high contrast pixels and locate a line or row in an image. Error measurements from the machine vision system were reported to an onboard computer, which was programmed with a Proportional-Integral-Derivative controller to settle errors. The system used an 'aggregate' error approach, accounting for both angular and offset errors. The system was tested in an area of consistent illumination in various situations and compared with a human operator's performance. Test situations include straight and curved paths as well as discontinuities of the followed path. The system performed well in most situations with standard deviations similar to that of the human operator. The use of a single sensor for autonomous vehicle control was shown to be unfavorable and inadequate. Even so, the possibility of autonomous vehicles with multiple sensors is promising even though safety considerations remain to be solved before true autonomous operations can be introduced in agriculture.
| Author | : Erdal Kayacan |
| Publisher | : Butterworth-Heinemann |
| Total Pages | : 266 |
| Release | : 2015-10-07 |
| Genre | : Mathematics |
| ISBN | : 0128027037 |
AN INDISPENSABLE RESOURCE FOR ALL THOSE WHO DESIGN AND IMPLEMENT TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN REAL TIME SYSTEMS Delve into the type-2 fuzzy logic systems and become engrossed in the parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis with this book! Not only does this book stand apart from others in its focus but also in its application-based presentation style. Prepared in a way that can be easily understood by those who are experienced and inexperienced in this field. Readers can benefit from the computer source codes for both identification and control purposes which are given at the end of the book. A clear and an in-depth examination has been made of all the necessary mathematical foundations, type-1 and type-2 fuzzy neural network structures and their learning algorithms as well as their stability analysis. You will find that each chapter is devoted to a different learning algorithm for the tuning of type-1 and type-2 fuzzy neural networks; some of which are: • Gradient descent • Levenberg-Marquardt • Extended Kalman filter In addition to the aforementioned conventional learning methods above, number of novel sliding mode control theory-based learning algorithms, which are simpler and have closed forms, and their stability analysis have been proposed. Furthermore, hybrid methods consisting of particle swarm optimization and sliding mode control theory-based algorithms have also been introduced. The potential readers of this book are expected to be the undergraduate and graduate students, engineers, mathematicians and computer scientists. Not only can this book be used as a reference source for a scientist who is interested in fuzzy neural networks and their real-time implementations but also as a course book of fuzzy neural networks or artificial intelligence in master or doctorate university studies. We hope that this book will serve its main purpose successfully. Parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis Contains algorithms that are applicable to real time systems Introduces fast and simple adaptation rules for type-1 and type-2 fuzzy neural networks Number of case studies both in identification and control Provides MATLAB® codes for some algorithms in the book
| Author | : K. R. Krishna |
| Publisher | : CRC Press |
| Total Pages | : 396 |
| Release | : 2021-04-15 |
| Genre | : Technology & Engineering |
| ISBN | : 1000088618 |
This important volume provides a plethora of information on aerial vehicles and their possible roles in revolutionizing agricultural procedures through spectral analysis of terrains, soils, crops, water resources, diseases, floods, drought, and farm activities. There are several semi-autonomous and autonomous (robotic) aerial vehicles that are examined for their efficiency in offering detailed spectral data about agrarian regions and individual farms. Among them, small drone aircrafts such as fixed-winged and copter models have already caught the imagination of farmers. They are spreading fast in every nook and corner of the farm world. However, there are many more aerial robots that are utilized in greater detail during farming. In this volume, the focus is on aerial vehicles such as parafoils, blimps, aerostats, and kites, and how they are being evaluated for use in experimental farms and fields. A few aerial vehicles, such as robotic parafoils, have been adopted to procure aerial spectral data and visual imagery to aid agronomic procedures. These and other aerial robots are expected to change and improve the use of the sky in agricultural endeavors and the way we conduct agronomic procedures in the very near future. This volume is a timely resource for agricultural researchers, professors and students, and the general public who are interested in aerial vehicles.
| Author | : Qin Zhang |
| Publisher | : CRC Press |
| Total Pages | : 390 |
| Release | : 2015-10-15 |
| Genre | : Science |
| ISBN | : 1000218988 |
This book provides a review of precision agriculture technology development, followed by a presentation of the state-of-the-art and future requirements of precision agriculture technology. It presents different styles of precision agriculture technologies suitable for large scale mechanized farming; highly automated community-based mechanized production; and fully mechanized farming practices commonly seen in emerging economic regions. The book emphasizes the introduction of core technical features of sensing, data processing and interpretation technologies, crop modeling and production control theory, intelligent machinery and field robots for precision agriculture production.
| Author | : William C. Messner |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2014 |
| Genre | : Agricultural machinery |
| ISBN | : 9780768077186 |
Over the years, the Defense Advanced Research Projects Agency (DARPA) Challenges in the United States have galvanized interest in autonomous cars, making them a real possibility in the mind of the public, but autonomous and unmanned vehicles have been increasingly employed in many roles on land, in the water, and in the air. Military applications have received a great deal of attention, with weaponized unmanned aircraft (drones) being the most prominent. However, unmanned vehicles with varying degrees of autonomy already have many civilian applications. Some of these are quite familiar (such as the Roomba autonomous vacuum cleaner), while others remain largely out of the public eye (such as autonomous farm equipment). Additional applications and more capable vehicles are rapidly coming to the markets in the years ahead. This book examines a number of economically important areas in which unmanned and autonomous vehicles, also understood here as autonomous technologies, are already used or soon will be. Co-published by SAE International and AUVSI, Autonomous Technologies: Applications That Matter will assist the reader in identifying profitable opportunities and avoiding costly misconceptions with respect to civilian applications of autonomous vehicle technologies as it brings together chapters on how air, water, and ground vehicles are becoming ever more used and appreciated.
| Author | : Stuart Ray Spencer |
| Publisher | : |
| Total Pages | : 126 |
| Release | : 2004 |
| Genre | : |
| ISBN | : |
Keywords: autonomous vehicle, row following, agriculture.
| Author | : Jun Zhou |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 146 |
| Release | : 2019-01-03 |
| Genre | : Technology & Engineering |
| ISBN | : 1789849330 |
Over the past few decades, extensive research has been conducted on the applications of agricultural robots and automation to a variety of field and greenhouse operations, and technical fundamentals and their feasibility have also been widely demonstrated. Due to the unstructured environment, adverse interference and complicated and diversified operation process are the key of blocking its commercialization in robotic agricultural operations. Because of the development of automation techniques, smart sensors, and information techniques, some types of agricultural robots have achieved considerable success in recent years. This book intends to provide the reader with a comprehensive overview of the current state of the art in agricultural robots, fundamentals, and applications in robotic agricultural operations.
| Author | : Ajith Abraham |
| Publisher | : Academic Press |
| Total Pages | : 578 |
| Release | : 2021-11-10 |
| Genre | : Technology & Engineering |
| ISBN | : 0128236957 |
AI, Edge, and IoT Smart Agriculture integrates applications of IoT, edge computing, and data analytics for sustainable agricultural development and introduces Edge of Thing-based data analytics and IoT for predictability of crop, soil, and plant disease occurrence for improved sustainability and increased profitability. The book also addresses precision irrigation, precision horticulture, greenhouse IoT, livestock monitoring, IoT ecosystem for agriculture, mobile robot for precision agriculture, energy monitoring, storage management, and smart farming. The book provides an overarching focus on sustainable environment and sustainable economic development through smart and e-agriculture. Providing a medium for the exchange of expertise and inspiration, contributions from both smart agriculture and data mining researchers around the world provide foundational insights. The book provides practical application opportunities for the resolution of real-world problems, including contributions from the data mining, data analytics, Edge of Things, and cloud research communities working in the farming production sector. The book offers broad coverage of the concepts, themes, and instruments of this important and evolving area of IOT-based agriculture, Edge of Things and cloud-based farming, Greenhouse IOT, mobile agriculture, sustainable agriculture, and big data analytics in agriculture toward smart farming. Integrates sustainable agriculture, Greenhouse IOT, precision agriculture, crops monitoring, crops controlling to prediction, livestock monitoring, and farm management Presents data mining techniques for precision agriculture, including weather prediction, plant disease prediction, and decision support for crop and soil selection Promotes the importance and uses in managing the agro ecosystem for food security Emphasizes low energy usage options for low cost and environmental sustainability
