Mobile Robots For Digital Farming
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Mobile Robots For Digital Farming
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Author : Redmond R. Shamshiri
language : en
Publisher: CRC Press
Release Date : 2024-09-09
Mobile Robots For Digital Farming written by Redmond R. Shamshiri and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-09 with Technology & Engineering categories.
This book provides a complete and comprehensive reference for agricultural mobile robots, covering all aspects of the design process, from sensing and perceiving to planning and acting for practical farming applications. Mobile Robots for Digital Farming explores topics such as Robot Operating Systems (ROS), dynamic simulation, artificial intelligence, image processing, and machine learning. Additionally, it features multiple case studies from funded projects and real-field trials. This book will be useful for professors and academics in various engineering disciplines (mechanical, robotics, control, electrical, computer, and agricultural), graduate and undergraduate students, farmers, commercial growers, startups, private companies, consultancy agencies, equipment suppliers, and agricultural policymakers.
Digital Farming And Smart Agriculture For Sustainable Future
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Author : Febin Daya J. L
language : en
Publisher: CRC Press
Release Date : 2025-02-26
Digital Farming And Smart Agriculture For Sustainable Future written by Febin Daya J. L and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-26 with Computers categories.
This book presents the impact and scope of Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML) in the growth of intelligent digital farming and smart agriculture. It offers insights into advanced analytics, prognostics capabilities, and the development of economic models for creating innovative software applications and tools necessary for developing IoT devices for precision agriculture. It explores the latest advancements in these fields and their applications, gaining valuable insights into the future of digital farming. The case studies and exploration of future implications make it an excellent guide for academicians and researchers in this field. Discusses various aspects of AI-driven demand forecasting and management Covers smart IoT framework for precision agriculture Includes topics related to deep learning techniques combined with IoT for smart agriculture Explores the scope of computer vision technologies aid in precise crop management Highlights the potential of energy optimization and environmental sustain- ability in agricultural practices This reference book serves as a valuable resource for researchers and graduates in the fields of tеchnology-driven revolution in agriculture.
Precision Agriculture
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Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2024-09-04
Precision Agriculture written by and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-04 with Technology & Engineering categories.
Precision agriculture has revolutionized the way crops are grown and managed by utilizing advanced technologies to optimize farm production, reduce waste, and improve environmental sustainability. Emerging technologies in precision agriculture, including edge computing, 5G communication, the Internet of Things, artificial intelligence, digital twins, blockchain, big data analytics, robotics, and augmented reality, are making significant contributions to the growth and development of this field. This book explores the latest advancements, achievements, and opportunities associated with these technologies in terms of improved efficiency, reduced labor costs, and enhanced safety, as well as the challenges involved in the implementation, such as high costs of adoption, regulations, and the need for skilled personnel. Each chapter presents research reports describing new methods and perspectives in precision agriculture applications based on innovative tools from basic and applied research. This book can serve both the academic community and farmers by demonstrating how modern technologies are advancing precision agriculture to the next level.
Precision Agriculture 25
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Author : John V. Stafford
language : en
Publisher: BRILL
Release Date : 2025-07-08
Precision Agriculture 25 written by John V. Stafford and has been published by BRILL this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-08 with Technology & Engineering categories.
These edited proceedings contain 181 peer reviewed papers presented at the 15th European Conference on Precision Agriculture, organized by Universitat Politècnica de Catalunya, June 29 – 3 July 2025, in Barcelona, Spain. The papers reflect the wide range of disciplines that impinge on precision agriculture - technology, crop science, soil science, agronomy, information technology, decision support, remote sensing, data analysis and others. Precision agriculture is a reality in agriculture and is playing a key role as the industry comes to terms with the environment, market forces, quality requirements, traceability, vehicle guidance and crop management. Sensors now in use in agriculture are generating 'Big Data' leading to the use of machine learning and Al - an increasing challenge for agriculture. Research continues to be necessary and needs to be reported and disseminated to a wide audience. The broad range of research topics reported will be a valuable resource for researchers, advisors, teachers and professionals in agriculture long after the conference has finished.
Encyclopedia Of Digital Agricultural Technologies
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Author : Qin Zhang
language : en
Publisher: Springer Nature
Release Date : 2023-10-11
Encyclopedia Of Digital Agricultural Technologies written by Qin Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-11 with Technology & Engineering categories.
Digital agriculture is an emerging concept of modern farming that refers to managing farms using modern Engineering, Information and Communication Technologies (EICT) aiming at increasing the overall efficiency of agricultural production, improving the quantity and quality of products, and optimizing the human labor required and natural resource consumption in operations. This encyclopedia is designed to collect the summaries of knowledge on as many as subjects or aspects relevant to ECIT for digital agriculture, present such knowledge in entries, and arrange them alphabetically by articles titles. Springer Major Reference Works platform offers Live Update capability. Our reference work takes full advantage of this feature, which allows for continuous improvement or revision of published content electronically. The Editorial Board Dr. Irwin R. Donis-Gonzalez, University of California Davis, Dept. Biological and Agricultural Engineering, Davis, USA (Section: Postharvest Technologies) Prof. Paul Heinemann, Pennsylvania State University, Department Head of Agricultural and Biological Engineering, PA, USA (Section: Technologies for Crop Production) Prof. Manoj Karkee, Washington State University, Center for Precision and Automated Agricultural Systems, Washington, USA (Section: Robotics and Automation Technologies) Prof. Minzan Li, China Agricultural University, Beijing, China (Section: Precision Agricultural Technologies) Prof. Dikai Liu, University of Technology Sydney (UTS),Faculty of Engineering & Information Technologies, Broadway NSW, Australia (Section: AI, Information and Communication Technologies) Prof. Tomas Norton, University of Leuven, Dept. of Biosystems, Heverlee Leuven, Belgium (Section: Technologies for Animal and Aquatic Production) Dr. Manuela Zude-Sasse, Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Precision Horticulture, Potsdam, Germany (Section: Engineering and Mechanization Technologies)
The Digital Age In Agriculture
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Author : Mehmet Ozguven
language : en
Publisher: CRC Press
Release Date : 2023-02-23
The Digital Age In Agriculture written by Mehmet Ozguven and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-23 with Science categories.
The Digital Age in Agriculture presents information related to the digital age in the agriculture sector. Agriculture is an essential activity for the continuity of life, yet is very labor-intensive and faces a wide variety of challenges. In the struggle against these difficulties, the superior features offered by technology provide important benefits. These technologies require expertise in various technical disciplines, and The Digital Age in Agriculture provides information to readers allowing them to make more informed decisions and giving them the opportunity to improve agricultural productivity. Written by Mehmet Metin Özgüven, an expert who has conducted field studies and with a working technical knowledge of various topics pertaining to the agriculture age, this book covers many subjects important to the age of digital agriculture, including precision agriculture and livestock farming, using agricultural robots and unmanned arial vehicles in agriculture practices, and image processing and machine vision. It is an essential read for researchers, agriculture sector workers, and agricultural engineers.
Precision Agriculture For Sustainability
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Author : Narendra Khatri
language : en
Publisher: CRC Press
Release Date : 2024-02-13
Precision Agriculture For Sustainability written by Narendra Khatri and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-13 with Technology & Engineering categories.
This new book delves into how modern technologies—i.e., global positioning systems (GPS), unmanned aerial vehicles (drones), image processing methods, artificial intelligence, machine learning, and deep learning—are being used to make agriculture more farmer-friendly and more economically profitable. The volume focuses on the use of smart sensors, actuators, and decision support systems to provide intelligent data about crop health and for monitoring for yield prediction, soil quality, nutrition requirement prediction, etc. The authors discuss robotic-based innovations in agriculture, soft computing methodologies for crop forecasting, machine learning techniques to classify and identify plant diseases, deep convolutional neural networks for recognizing nutrient deficiencies, and more.
Agricultural Robots
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Author : Jun Zhou
language : en
Publisher: BoD – Books on Demand
Release Date : 2019-01-03
Agricultural Robots written by Jun Zhou and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-03 with Technology & Engineering categories.
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.
Intelligent Robots And Drones For Precision Agriculture
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Author : Sundaravadivazhagan Balasubramanian
language : en
Publisher: Springer Nature
Release Date : 2024-03-20
Intelligent Robots And Drones For Precision Agriculture written by Sundaravadivazhagan Balasubramanian and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-20 with Technology & Engineering categories.
This book provides extensive information about smart farming, precision agriculture and the technologies that make them succeed. The authors provide detailed machine learning and deep learning models and algorithms that can be implemented effectively to improve smart farming methods. The authors also give elaborate information about the various IoT devices and types of drones that are used vastly in smart farming culture. The authors show specifically how methods and techniques used to improve the crop yield can be executed to help the farmers to improve the agricultural process and cultivation methods using a rule-based methodology. The purpose of this book is to articulate the need for processes, platforms, practices, patterns, and rules to be followed for the better yield of crop production and how IoT, robotics and drones can be used to improve the economy of the countries in the field of agriculture. In a nutshell, the book shows how the combination of multiple cutting-edge technologies leads to the realization of state-of-the-art infrastructures for next-generation agriculture.
Data Driven Farming
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Author : Syed Nisar Hussain Bukhari
language : en
Publisher: CRC Press
Release Date : 2024-06-13
Data Driven Farming written by Syed Nisar Hussain Bukhari and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-13 with Computers categories.
In the dynamic realm of agriculture, artificial intelligence (AI) and machine learning (ML) emerge as catalysts for unprecedented transformation and growth. The emergence of big data, Internet of Things (IoT) sensors, and advanced analytics has opened up new possibilities for farmers to collect and analyze data in real-time, make informed decisions, and increase efficiency. AI and ML are key enablers of data-driven farming, allowing farmers to use algorithms and predictive models to gain insights into crop health, soil quality, weather patterns, and more. Agriculture is an industry that is deeply rooted in tradition, but the landscape is rapidly changing with the emergence of new technologies. Data-Driven Farming: Harnessing the Power of AI and Machine Learning in Agriculture is a comprehensive guide that explores how the latest advances in technology can help farmers make better decisions and maximize yields. It offers a detailed overview of the intersection of data, AI, and ML in agriculture and offers real-world examples and case studies that demonstrate how these tools can help farmers improve efficiency, reduce waste, and increase profitability. Exploring how AI and ML can be used to achieve sustainable and profitable farming practices, the book provides an introduction to the basics of data-driven farming, including an overview of the key concepts, tools, and technologies. It also discusses the challenges and opportunities facing farmers in today’s data-driven landscape. Covering such topics as crop monitoring, weather forecasting, pest management, and soil health management, the book focuses on analyzing data, predicting outcomes, and optimizing decision-making in a range of agricultural contexts.