Download or read book Autonomous Agricultural Vehicles written by Ali Roshanianfard and published by CRC Press. This book was released on 2023-07-19 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Artificial Intelligence and IoT Based Technologies for Sustainable Farming and Smart Agriculture written by Tomar, Pradeep and published by IGI Global. This book was released on 2021-01-08 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book The Development of an Autonomous Vehicle for Use in Agriculture written by and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Fuzzy Neural Networks for Real Time Control Applications written by Erdal Kayacan and published by Butterworth-Heinemann. This book was released on 2015-10-07 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Aerial Robotics in Agriculture written by K. R. Krishna and published by CRC Press. This book was released on 2021-04-15 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Precision Agriculture Technology for Crop Farming written by Qin Zhang and published by CRC Press. This book was released on 2015-10-15 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Autonomous Technologies written by William C. Messner and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book The Development of an Autonomous Vehicle for Use in Agriculture written by Stuart Ray Spencer and published by . This book was released on 2004 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: Keywords: autonomous vehicle, row following, agriculture.
Download or read book Agricultural Robots written by Jun Zhou and published by BoD – Books on Demand. This book was released on 2019-01-03 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book AI Edge and IoT based Smart Agriculture written by Ajith Abraham and published by Academic Press. This book was released on 2021-11-10 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Time Critical Cooperative Control of Autonomous Air Vehicles written by Isaac Kaminer and published by Butterworth-Heinemann. This book was released on 2017-08-02 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Time-Critical Cooperative Control of Autonomous Air Vehicles presents, in an easy-to-read style, the latest research conducted in the industry, while also introducing a set of novel ideas that illuminate a new approach to problem-solving. The book is virtually self-contained, giving the reader a complete, integrated presentation of the different concepts, mathematical tools, and control solutions needed to tackle and solve a number of problems concerning time-critical cooperative control of UAVs. By including case studies of fixed-wing and multirotor UAVs, the book effectively broadens the scope of application of the methodologies developed. This theoretical presentation is complemented with the results of flight tests with real UAVs, and is an ideal reference for researchers and practitioners from academia, research labs, commercial companies, government workers, and those in the international aerospace industry. - Addresses important topics related to time-critical cooperative control of UAVs - Describes solutions to the problems rooted in solid dynamical systems theory - Applies the solutions developed to fixed-wing and multirotor UAVs - Includes the results of field tests with both classes of UAVs
Download or read book Autonomous Control of Unmanned Aerial Vehicles written by Victor Becerra and published by MDPI. This book was released on 2019-06-24 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unmanned aerial vehicles (UAVs) are being increasingly used in different applications in both military and civilian domains. These applications include surveillance, reconnaissance, remote sensing, target acquisition, border patrol, infrastructure monitoring, aerial imaging, industrial inspection, and emergency medical aid. Vehicles that can be considered autonomous must be able to make decisions and react to events without direct intervention by humans. Although some UAVs are able to perform increasingly complex autonomous manoeuvres, most UAVs are not fully autonomous; instead, they are mostly operated remotely by humans. To make UAVs fully autonomous, many technological and algorithmic developments are still required. For instance, UAVs will need to improve their sensing of obstacles and subsequent avoidance. This becomes particularly important as autonomous UAVs start to operate in civilian airspaces that are occupied by other aircraft. The aim of this volume is to bring together the work of leading researchers and practitioners in the field of unmanned aerial vehicles with a common interest in their autonomy. The contributions that are part of this volume present key challenges associated with the autonomous control of unmanned aerial vehicles, and propose solution methodologies to address such challenges, analyse the proposed methodologies, and evaluate their performance.
Download or read book IoT and AI in Agriculture written by Tofael Ahamed and published by Springer Nature. This book was released on 2024 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers smart agricultural space and its further development with an emphasis on ultra-saving labor shortages using AI-based technologies. A transboundary approach, as well as artificial intelligence (AI) and big data for bioinformatics, are required to increase timeliness and supplement the labor shortages, ensure the safety of intangible labor migration system to achieve one of the sustainable development goals (SDG) to secure food security (Society 5.0, SDG 1 and 2). With this in mind, the book focuses on the solution through smart Internet of Things (IoT) and AI-based agriculture, such as automation navigation, insect infestation, and decreasing agricultural inputs such as water and fertilizer, to maintain food security while ensuring environmental sustainability. Readers will gain a solid foundation for developing new knowledge through the in-depth research and education orientation of the book on how the deployment of outdoor and indoor sensors, AI/machine learning (ML), and IoT setups for sensing, tracking, collection, processing, and storing information over cloud platforms is nurturing and driving the pace of smart agriculture outdoor and indoors at this current time. Furthermore, the book introduces the smart system for automation challenges that are important for an unmanned system for considering safety and security points. The book is designed for researchers, graduates, and undergraduate students working in any area of machine learning, deep learning in agricultural engineering, smart agriculture, and environmental science. The greatest care has been made to deliver a diverse range of resource areas, as well as enormous insights into the significance and scope of IoT, AI, and ML in the development of intelligent digital farming and smart agriculture, providing comprehensive information to the intended readers.
Download or read book Development of a Novel Neural Network based Control Scheme for Autonomous Farming Vehicles written by Zeinab Sobhanigavgani and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Agriculture industries call upon autonomous tractors to speed up the process of farming tasks. Although there has been a lot of research on autonomous vehicles, this research mostly concerns road vehicles, which operate in a controlled road environment.This thesis is a part of the ongoing Arion project, from Institut du Véhicule Innovant (IVI). The ultimate goal of the Arion project is to develop an autonomous farming vehicle, which can operate independently and safely. This research is dedicated to designing a robust controller to maintain the accuracy of the autonomous farming vehicle path on different types of soil.The autonomous farming vehicle designed at IVI is an electrical four-wheel-drive vehicle. In this study, the dynamics equations of the vehicle are derived. The model used here is a four-wheel model, with two steerable wheels in the front. Moreover, realistic terramechanics equations, regarding the interaction between the soil and the wheels, are established. The equations of terramechanics are then solved offline, to be used as a lookup table online. This method will increase the efficiency, as the equations need to be solved numerically, and are computationally expensive. The lookup tables are created for four different soil types: Clay, Loam, Sand, and Sandyloam.We introduce a novel scheme for the control of the vehicle. The system contains two controllers: a PID controller for longitudinal speed, and a Model Predictive Controller (MPC) for steering angle. In this scheme, a neural network is used to classify the soil type, and to act as a switch to adapt the MPC controller to the new soil type.The neural network is trained on physical features that can be measured with inexpensive sensors on the vehicle, such as velocity, slip angle, slip ratio, and wheel's sinkage in the soil.The performance of the controller for each soil type is evaluated independently, as well as the performance of the vehicle operating on a field with various soil types. The results show a considerable improvement in accuracy when the proposed controller is used"--
Download or read book Computer and Computing Technologies in Agriculture III written by Daoliang Li and published by Springer Science & Business Media. This book was released on 2010-04-07 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the Third IFIP TC 12 International Conference on Computer and Computing Technologies in Agriculture, CCTA 2009, held in Beijing, China, in October 2009. The 80 revised papers were carefully selected from numerous submissions. The papers cover a wide range of interesting theories and applications of information technology in agriculture, including simulation models and decision-support systems for agricultural production, agricultural product quality testing, traceability and e-commerce technology, the application of information and communication technology in agriculture and universal information service technology, and service systems development in rural areas.
Download or read book Inertial Navigation Systems with Geodetic Applications written by Christopher Jekeli and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-07-24 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers all aspects of inertial navigation systems (INS), including the sensor technology and the estimation of instrument errors, as well as their integration with Global Navigation Satellite Systems, specifically the Global Positioning System (GPS) for geodetic applications. The text is of interest to geodesists, including surveyors, mappers, and photogrammetrists; to engineers in aviation, navigation, guidance, transportation, and robotics; and to scientists involved in aerogeophysics and remote sensing. The most recent developments are covered with this second edition that also features an updated treatment of the classical material. Detailed mathematical derivations of the principles of measurement and data processing of inertial measurement units for both stabilized and strapdown systems. Complete treatment of the error dynamics from a statistical viewpoint, including the Kalman filter. A self-contained description of GPS with emphasis on kinematic applications. Key concepts supported by illustrations and numerical examples.
Download or read book Driverless written by Hod Lipson and published by MIT Press. This book was released on 2017-09-15 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: When human drivers let intelligent software take the wheel: the beginning of a new era in personal mobility. “Smart, wide-ranging, [and] nontechnical.” —Los Angeles Times “Anyone who wants to understand what's coming must read this fascinating book.” —Martin Ford, New York Times bestselling author of Rise of the Robots In the year 2014, Google fired a shot heard all the way to Detroit. Google's newest driverless car had no steering wheel and no brakes. The message was clear: cars of the future will be born fully autonomous, with no human driver needed. In the coming decade, self-driving cars will hit the streets, rearranging established industries and reshaping cities, giving us new choices in where we live and how we work and play. In this book, Hod Lipson and Melba Kurman offer readers insight into the risks and benefits of driverless cars and a lucid and engaging explanation of the enabling technology. Recent advances in software and robotics are toppling long-standing technological barriers that for decades have confined self-driving cars to the realm of fantasy. A new kind of artificial intelligence software called deep learning gives cars rapid and accurate visual perception. Human drivers can relax and take their eyes off the road. When human drivers let intelligent software take the wheel, driverless cars will offer billions of people all over the world a safer, cleaner, and more convenient mode of transportation. Although the technology is nearly ready, car companies and policy makers may not be. The authors make a compelling case for why government, industry, and consumers need to work together to make the development of driverless cars our society's next “Apollo moment.”
