Computer Vision And Machine Learning In Agriculture Volume 3
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Computer Vision And Machine Learning In Agriculture Volume 3
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Author : Jagdish Chand Bansal
language : en
Publisher:
Release Date : 2023
Computer Vision And Machine Learning In Agriculture Volume 3 written by Jagdish Chand Bansal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
This book is as an extension of the previous two volumes on "Computer Vision and Machine Learning in Agriculture". This volume 3 discusses solutions to the problems of agricultural production by rendering advanced machine learning including deep learning tools and techniques. The book contains 13 chapters that focus on in-depth research outputs in precision agriculture, crop farming, horticulture, floriculture, vertical farming, animal husbandry, disease detection, plant recognition, production yield, product quality, defect assessment, and overall automation through robots and drones. The topics covered in the current volume, along with the previous volumes, are comprehensive literature for both beginners and experienced in this domain.
Computer Vision And Machine Learning In Agriculture Volume 3
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Author : Jagdish Chand Bansal
language : en
Publisher: Springer Nature
Release Date : 2023-07-31
Computer Vision And Machine Learning In Agriculture Volume 3 written by Jagdish Chand Bansal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-31 with Technology & Engineering categories.
This book is as an extension of the previous two volumes on “Computer Vision and Machine Learning in Agriculture”. This volume 3 discusses solutions to the problems of agricultural production by rendering advanced machine learning including deep learning tools and techniques. The book contains 13 chapters that focus on in-depth research outputs in precision agriculture, crop farming, horticulture, floriculture, vertical farming, animal husbandry, disease detection, plant recognition, production yield, product quality, defect assessment, and overall automation through robots and drones. The topics covered in the current volume, along with the previous volumes, are comprehensive literature for both beginners and experienced in this domain.
Computer Vision And Machine Learning In Agriculture
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Author : Mohammad Shorif Uddin
language : en
Publisher: Springer Nature
Release Date : 2021-03-23
Computer Vision And Machine Learning In Agriculture written by Mohammad Shorif Uddin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-23 with Technology & Engineering categories.
This book discusses computer vision, a noncontact as well as a nondestructive technique involving the development of theoretical and algorithmic tools for automatic visual understanding and recognition which finds huge applications in agricultural productions. It also entails how rendering of machine learning techniques to computer vision algorithms is boosting this sector with better productivity by developing more precise systems. Computer vision and machine learning (CV-ML) helps in plant disease assessment along with crop condition monitoring to control the degradation of yield, quality, and severe financial loss for farmers. Significant scientific and technological advances have been made in defect assessment, quality grading, disease recognition, pests, insects, fruits, and vegetable types recognition and evaluation of a wide range of agricultural plants, crops, leaves, and fruits. The book discusses intelligent robots developed with the touch of CV-ML which can help farmers to perform various tasks like planting, weeding, harvesting, plant health monitoring, and so on. The topics covered in the book include plant, leaf, and fruit disease detection, crop health monitoring, applications of robots in agriculture, precision farming, assessment of product quality and defects, pest, insect, fruits, and vegetable types recognition.
Computer Vision And Machine Learning In Agriculture Volume 2
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Author : Mohammad Shorif Uddin
language : en
Publisher: Springer Nature
Release Date : 2022-03-13
Computer Vision And Machine Learning In Agriculture Volume 2 written by Mohammad Shorif Uddin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-13 with Technology & Engineering categories.
This book is as an extension of previous book “Computer Vision and Machine Learning in Agriculture” for academicians, researchers, and professionals interested in solving the problems of agricultural plants and products for boosting production by rendering the advanced machine learning including deep learning tools and techniques to computer vision algorithms. The book contains 15 chapters. The first three chapters are devoted to crops harvesting, weed, and multi-class crops detection with the help of robots and UAVs through machine learning and deep learning algorithms for smart agriculture. Next, two chapters describe agricultural data retrievals and data collections. Chapters 6, 7, 8 and 9 focuses on yield estimation, crop maturity detection, agri-food product quality assessment, and medicinal plant recognition, respectively. The remaining six chapters concentrates on optimized disease recognition through computer vision-based machine and deep learning strategies.
Internet Of Things And Analytics For Agriculture Volume 3
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Author : Prasant Kumar Pattnaik
language : en
Publisher: Springer Nature
Release Date : 2021-11-10
Internet Of Things And Analytics For Agriculture Volume 3 written by Prasant Kumar Pattnaik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-10 with Technology & Engineering categories.
The book discusses one of the major challenges in agriculture which is delivery of cultivate produce to the end consumers with best possible price and quality. Currently all over the world, it is found that around 50% of the farm produce never reaches the end consumer due to wastage and suboptimal prices. The authors present solutions to reduce the transport cost, predictability of prices on the past data analytics and the current market conditions, and number of middle hops and agents between the farmer and the end consumer using IoT-based solutions. Again, the demand by consumption of agricultural products could be predicted quantitatively; however, the variation of harvest and production by the change of farm's cultivated area, weather change, disease and insect damage, etc., could be difficult to be predicted, so that the supply and demand of agricultural products has not been controlled properly. To overcome, this edited book designed the IoT-based monitoring system to analyze crop environment and the method to improve the efficiency of decision making by analyzing harvest statistics. The book is also useful for academicians working in the areas of climate changes.
Artificial Intelligence In Agriculture
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Author : Rajesh Singh
language : en
Publisher: CRC Press
Release Date : 2021-11-22
Artificial Intelligence In Agriculture written by Rajesh Singh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-22 with Computers categories.
This book is a platform for anyone who wishes to explore Artificial Intelligence in the field of agriculture from scratch or broaden their understanding and its uses. This book offers a practical, hands-on exploration of Artificial Intelligence, machine learning, deep Learning, computer vision and Expert system with proper examples to understand. This book also covers the basics of python with example so that any anyone can easily understand and utilize artificial intelligence in agriculture field. This book is divided into two parts wherein first part talks about the artificial intelligence and its impact in the agriculture with all its branches and their basics. The second part of the book is purely implementation of algorithms and use of different libraries of machine learning, deep learning and computer vision to build useful and sightful projects in real time which can be very useful for you to have better understanding of artificial intelligence. After reading this book, the reader will an understanding of what Artificial Intelligence is, where it is applicable, and what are its different branches, which can be useful in different scenarios. The reader will be familiar with the standard workflow for approaching and solving machine-learning problems, and how to address commonly encountered issues. The reader will be able to use Artificial Intelligence to tackle real-world problems ranging from crop health prediction to field surveillance analytics, classification to recognition of species of plants etc. Note: T&F does not sell or distribute the hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka. This title is co-published with NIPA.
Proceedings Of International Conference On Artificial Intelligence And Communication Technologies Icaict 2023
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Author : Roumen Kountchev
language : en
Publisher: Springer Nature
Release Date : 2023-11-13
Proceedings Of International Conference On Artificial Intelligence And Communication Technologies Icaict 2023 written by Roumen Kountchev and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-13 with Technology & Engineering categories.
This book gathers selected papers presented at the International Conference on Artificial Intelligence and Communication Technologies (ICAICT2023), held at Shenzhen, China during June 2023. The first volume of the proceedings will focus on the newest methods and algorithms in smart wireless communications in the areas of Remote sensing and machine learning, Intelligent image and data processing, Health systems and security, Intelligent teaching applications and many others.
Proceedings Of The 2nd International Conference On Big Data Iot And Machine Learning
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Author : Mohammad Shamsul Arefin
language : en
Publisher: Springer Nature
Release Date : 2024-03-29
Proceedings Of The 2nd International Conference On Big Data Iot And Machine Learning written by Mohammad Shamsul Arefin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-29 with Computers categories.
This book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Big Data, IoT and Machine Learning (BIM 2023), organised by Jahangirnagar University, Bangladesh, and Daffodil International University, Bangladesh, held in Dhaka, Bangladesh, during 6–8 September 2023. The book covers research papers in the field of big data, IoT and machine learning. The book is helpful for active researchers and practitioners in the field.
Case Studies Insights On Agriculture Innovation 2020 Iaas Series
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Author : Simon Y. Liu
language : en
Publisher: Vital Wellspring Education Pte. Ltd.
Release Date : 2021-08-25
Case Studies Insights On Agriculture Innovation 2020 Iaas Series written by Simon Y. Liu and has been published by Vital Wellspring Education Pte. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-25 with Business & Economics categories.
[ Foreword ] The annual International Agriculture Innovation Conference (IAIC) series started in October 2016 as an assembly platform for leading researchers, educators, and developers to present, discuss, and examine various challenging issues relating to agricultural production and innovation. In January 2018, the International Association for Agricultural Sustainability (IAAS) took IAIC under its wing with expectations that IAIC will continue to expand its influence by inviting more agriculture-related professionals to participate in conferences. I sincerely welcome you to join our conference and to share your ideas on agriculture sustainability with us. First, I would like to express my sincere appreciation for those who attended IAIC2020, because your participation is sought to the success of the conference. 2020 is an unforgettable and remarkable year in human history due to the pandemic. We are forced to separated and isolated, hence, it made it more precious for all of us to gather together online. More than that, I would like to special thanks to assistance and support from the IAIC 2020 conference sponsors – Vital Wellspring Pte. Ltd., Singapore, and the Organizer of IAIC 2020 – the College of Agriculture and Natural Resources, Department of Nutrition and Food Science, University of Maryland, U.S.A. Last but not least, the speakers of IAIC 2020. This book would not have been published without their efforts and contributions. In order to improve current agricultural circumstances and attain environmental sustainability, agriculture innovation has become the primary strategy nowadays toward achieving these goals. The concept of adapting agricultural innovation to every phase of agricultural production and management is the foundation for this book. This is the sequel of the book “Case Studies: Insights on Agriculture Innovation 2019” which collects information on various agricultural innovation ideas and technologies that have been applied or are being developed for agricultural operations and management in different countries. I believe this book will provide you with new and inspiring ideas about the future of agriculture development, and illustrate how innovations in methods and techniques influence agriculture production, environmental sustainability, and the quality of people’s lives around the world. --Dr. Cheng-I Wei, Chairman of IAAS [ Contents ] | Chapter 01 | Harnessing Artificial Intelligence to Transform Agricultural Research Simon Y. Liu | Chapter 02 | Pursuing Green Growth of the Vegetable Sector in Low-income Countries Marco C.S. Wopereis / C. George Kuo | Chapter 03 | Consumers’ Perceptions of Innovative Food Waste (Upcycled) Products Meghan Bennet / Miranda Mirosa / Phil Bremer | Chapter 04 | Duality of Extrinsic and Intrinsic Worth of Investments in Agriculture Wei-Ling Low | Chapter 05 | The Story of Euglena: The Sustainable Investing Ecosystems Stephen Ho | Chapter 06 | Fostering Agricultural Transformation and the Growth in Thai AgTech Startup Ecosystem Montha Kaihirun
Scanning Technologies For Autonomous Systems
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Author : Julio C. Rodríguez-Quiñonez
language : en
Publisher: Springer Nature
Release Date : 2024-07-17
Scanning Technologies For Autonomous Systems written by Julio C. Rodríguez-Quiñonez and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-17 with Technology & Engineering categories.
This book provides the theory, methodology, and uses of scanning technologies for the application of autonomous systems. The authors provide readers with an understanding of different technologies and methods to perform scanning technologies and their optimal application depending on the kind of autonomous system. Also, the book presents a compilation of original high-quality contributions and research results from worldwide authors on emerging new autonomous systems based on different scanning technologies. This book is a valuable reference for engineering professionals and the scientific community.