Applications of Computer Vision and Drone Technology in Agriculture 4.0 PDF Download

Author: Siddharth Singh Chouhan
Publisher: Springer Nature
ISBN: 9819986842
Category :
Languages : en
Pages : 332

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Author: Siddharth Singh Chouhan
Publisher: Springer
ISBN: 9789819986835
Category : Technology & Engineering
Languages : en
Pages : 0

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Book Description
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.

Author: Mohammad Shorif Uddin
Publisher: Springer Nature
ISBN: 9813364246
Category : Technology & Engineering
Languages : en
Pages : 172

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Book Description
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.

Author: Sachi Nandan Mohanty
Publisher: John Wiley & Sons
ISBN: 1394166532
Category : Technology & Engineering
Languages : en
Pages : 468

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Book Description
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.

Author: S. Panigrahi
Publisher: Springer Science & Business Media
ISBN: 9401150486
Category : Technology & Engineering
Languages : en
Pages : 258

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Book Description
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.

Author: Jagdish Chand Bansal
Publisher: Springer Nature
ISBN: 981993754X
Category : Technology & Engineering
Languages : en
Pages : 215

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Book Description
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.

Author: Dragan Cvetković
Publisher: BoD – Books on Demand
ISBN: 0854661646
Category : Technology & Engineering
Languages : en
Pages : 258

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Book Description
Although many believe that unmanned aerial vehicles or drones are a recent invention, unmanned flight has a rich history that goes all the way back to ancient times. The first systems that can be specified under the modern definition of unmanned aerial vehicles or drones include reconnaissance drones developed and deployed during the Cold War period. Today, such systems have evolved and can have different designs. In the last twenty years, many drones with different aerodynamic characteristics, flight endurance, methods and places of launch and acceptance, and even more diverse purposes have been developed. The achievements of modern science, technique, and technology, especially in the field of microelectronics and control systems, have made it possible to design and manufacture drones that are capable of performing controllable flight in a wide range of altitudes, speeds, and distances while performing complex and diverse tasks with almost the same efficiency as well as manned aircraft. This book provides a comprehensive overview of drone technology and applications with chapters on the detection and classification of drones, issues related to electric unmanned aerial vehicles, integrating drones into educational curricula, and the uses of different types of drones in various situations, among other topics.

Author: Mohammad Shorif Uddin
Publisher: Springer Nature
ISBN: 9811699917
Category : Technology & Engineering
Languages : en
Pages : 269

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Book Description
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.

Author: Saravanan Krishnan
Publisher: CRC Press
ISBN: 1000872459
Category : Technology & Engineering
Languages : en
Pages : 219

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Book Description
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.

Author: Sundaravadivazhagan Balasubaramanian
Publisher: Springer Nature
ISBN: 3031511956
Category :
Languages : en
Pages : 479

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