Applications Of Computer Vision And Drone Technology In Agriculture 4 0
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Applications Of Computer Vision And Drone Technology In Agriculture 4 0
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Author : Siddharth Singh Chouhan
language : en
Publisher: Springer Nature
Release Date :
Applications Of Computer Vision And Drone Technology In Agriculture 4 0 written by Siddharth Singh Chouhan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Applications Of Computer Vision And Drone Technology In Agriculture 4 0
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Author : Siddharth Singh Chouhan
language : en
Publisher: Springer
Release Date : 2024-02-18
Applications Of Computer Vision And Drone Technology In Agriculture 4 0 written by Siddharth Singh Chouhan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-18 with Technology & Engineering categories.
This edited book focus on two most emerging areas and covers the different aspects of computer vision and drone technology in the field of agriculture. It comprises various applications including segmentation/classification of plant diseases, monitoring of crops, grade/quality estimation of fruits/flowers/vegetables/crops, surveillance, soil deficiency estimation, crop/plant growth estimation, canopy measurement, water stress management, vegetation indices calculation, weed detection, and spraying, among other. It has 17 chapters contributed by experts in the field of computer vision, drone technology, deep learning, machine learning, artificial intelligence, image processing, agriculturist, and plant pathologists. The recent development of high-end computing devices and the adaptation of unmanned aerial vehicles has provided a mechanism to automate traditional agriculture practices. The on-field or aerial images captured using cameras are processed with the help of intelligent algorithms, and an assessment is drawn for further recommendations. This practice is efficient in provisioning an accurate, timely, and economical decision-making system to overcome the problems of agricultural field experts and farmers. This process is advantageous in increasing the quality and quantity of crop yields. This book serves as an excellent guide to students, researchers, scientists, and field experts in directing their work toward this domain and developing/designing models. Further, this book is useful for pathologists, biotechnologists, seed production specialists, breeders, market managers, and other stakeholders associated with underlying technology or market development from the public and private sectors.
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 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.
Intelligent Robots And Drones For Precision Agriculture
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Author : Sundaravadivazhagan Balasubaramanian
language : en
Publisher: Springer Nature
Release Date :
Intelligent Robots And Drones For Precision Agriculture written by Sundaravadivazhagan Balasubaramanian and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Artificial Intelligence For Biology And Agriculture
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Author : S. Panigrahi
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Artificial Intelligence For Biology And Agriculture written by S. Panigrahi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
This volume contains a total of thirteen papers covering a variety of AI topics ranging from computer vision and robotics to intelligent modeling, neural networks and fuzzy logic. There are two general articles on robotics and fuzzy logic. The article on robotics focuses on the application of robotics technology in plant production. The second article on fuzzy logic provides a general overview of the basics of fuzzy logic and a typical agricultural application of fuzzy logic. The article `End effectors for tomato harvesting' enhances further the robotic research as applied to tomato harvesting. The application of computer vision techniques for different biological/agricultural applications, for example, length determination of cheese threads, recognition of plankton images and morphological identification of cotton fibers, depicts the complexity and heterogeneities of the problems and their solutions. The development of a real-time orange grading system in the article `Video grading of oranges in real-time' further reports the capability of computer vision technology to meet the demand of high quality food products. The integration of neural network technology with computer vision and fuzzy logic for defect detection in eggs and identification of lettuce growth shows the power of hybridization of AI technologies to solve agricultural problems. Additional papers also focus on automated modeling of physiological processes during postharvest distribution of agricultural products, the applications of neural networks, fusion of AI technologies and three dimensional computer vision technologies for different problems ranging from botanical identification and cell migration analysis to food microstructure evaluation.
Drone Technology
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Author : Sachi Nandan Mohanty
language : en
Publisher: John Wiley & Sons
Release Date : 2023-06-20
Drone Technology written by Sachi Nandan Mohanty and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-20 with Technology & Engineering categories.
DRONE TECHNOLOGY This book provides a holistic and valuable insight into the revolutionary world of unmanned aerial vehicles (UAV). The book elucidates the revolutionary and riveting research in the ultramodern domain of drone technologies, drone-enabled IoT applications, and artificial intelligence-based smart surveillance. The book explains the most recent developments in the field, challenges, and future scope of drone technologies. Beyond that, it discusses the importance of a wide range of design applications, drone/UAV development, and drone-enabled smart healthcare systems for smart cities. It describes pioneering work on mitigating cyber security threats by employing intelligent machine learning models in the designing of IoT-aided drones. The book also has a fascinating chapter on application intrusion detection by drones using recurrent neural networks. Other chapters address interdisciplinary fields like artificial intelligence, deep learning, the role of drones in healthcare in smart cities, and the importance of drone technology in agriculture. Audience The book will be read and consulted by a range of industry engineers involved with introducing drone technology to their daily operations.
Iot Uav Bci Empowered Deep Learning Models In Precision Agriculture
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Author : José Dias Pereira
language : en
Publisher: Frontiers Media SA
Release Date : 2024-05-10
Iot Uav Bci Empowered Deep Learning Models In Precision Agriculture written by José Dias Pereira and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-10 with Science categories.
Machine vision applications in precision agriculture have attracted a great deal of attention. They focus on monitoring, protection, and management of various plant populations. These applications have shown potential value in reforming crucial components of plant production, including fine-grained ripeness recognition of all kinds of plants and detecting and classifying weeds, seeds, and pests for crop health, quality, and quantity enhancement. In recent decades, the extensive achievements of deep learning techniques have shown significant opportunities for almost all fields. Accordingly, many deep learning models have been presented for different types of images and have achieved promising outcomes. The deep learning-based approaches can contribute to gaining insights into the plants' inherent characteristics and the surrounding environmental elements. This research topic's primary value is providing a platform for deep learning-based applications for precision agriculture. These applications can be fairly evaluated and compared with each other. Accordingly, more effective and efficient detection and classification approaches for precision agriculture can be developed or optimized.
Smart Big Data In Digital Agriculture Applications
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Author : Haoyu Niu
language : en
Publisher: Springer Nature
Release Date :
Smart Big Data In Digital Agriculture Applications written by Haoyu Niu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Internet Of Drones
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Author : Saravanan Krishnan
language : en
Publisher: CRC Press
Release Date : 2023-05-15
Internet Of Drones written by Saravanan Krishnan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-15 with Technology & Engineering categories.
This book covers different aspects of Internet of Drones (IoD) including fundamentals in drone design, deployment challenges, and development of applications. It starts with a detailed description of concepts and processes in designing an efficient system, and architecture. It details different applications of IoD and its implementations in smart cities, agriculture, health care, defense, security, logistics, GIS mapping, and so forth. Recent developments in IoD design, application of AI techniques, case studies, and future directions are covered. Features: Focuses on important perspectives of the Internet of Drones (IoD) Emphasizes drone deployment in smart cities, smart agriculture, smart health care, and 3D mapping Covers challenges in drone design for applications with security and privacy issues Reviews diversified drone applications with real-use cases from modern drone players ranging from start-up companies to big giants in the drone industry Includes different aspects of drone design such as hardware and software architecture, potential applications, and opportunities This book is aimed at researchers and professionals in computer sciences, electronics and communication engineering, and aeronautical engineering.