Applications of Image Processing and Soft Computing Systems in Agriculture

Applications of Image Processing and Soft Computing Systems in Agriculture

Author: Razmjooy, Navid

Publisher: IGI Global

Published: 2019-02-22

Total Pages: 337

ISBN-13: 152258028X

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The variety and abundance of qualitative characteristics of agricultural products have been the main reasons for the development of different types of non-destructive methods (NDTs). Quality control of these products is one of the most important tasks in manufacturing processes. The use of control and automation has become more widespread, and new approaches provide opportunities for production competition through new technologies. Applications of Image Processing and Soft Computing Systems in Agriculture examines applications of artificial intelligence in agriculture and the main uses of shape analysis on agricultural products such as relationships between form and genetics, adaptation, product characteristics, and product sorting. Additionally, it provides insights developed through computer vision techniques. Highlighting such topics as deep learning, agribusiness, and augmented reality, it is designed for academicians, researchers, agricultural practitioners, and industry professionals.


IoT and WSN Applications for Modern Agricultural Advancements: Emerging Research and Opportunities

IoT and WSN Applications for Modern Agricultural Advancements: Emerging Research and Opportunities

Author: Mukherjee, Proshikshya

Publisher: IGI Global

Published: 2019-07-05

Total Pages: 145

ISBN-13: 1522590064

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Currently, the demand by consumption of agricultural products may be predicted quantitatively; moreover, the variation of harvest and production by the change of a farm's cultivated area, weather change, disease, insect damage, etc. is a challenge that has led to improper control of the supply and demand of agricultural products. Advancements in IoT and wireless sensor networks in precision agriculture and the cloud computing technology needed to deploy them can be used to address and solve these issues. IoT and WSN Applications for Modern Agricultural Advancements: Emerging Research and Opportunities is an essential research book that focuses on the development of effective data-computing operations on agricultural advancements that are fully supported by IoT, cloud computing, and wireless sensor network systems and explores prospective applications of computing, analytics, and networking in various interdisciplinary domains of engineering. Featuring a range of topics such as power monitoring, healthcare, and GIS, this book is ideal for IT practitioners, farmers, network analysts, researchers, professionals, academicians, industry experts, and students.


Cognitive Systems and Signal Processing in Image Processing

Cognitive Systems and Signal Processing in Image Processing

Author: Yu-Dong Zhang

Publisher: Academic Press

Published: 2021-11-28

Total Pages: 398

ISBN-13: 0323860095

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Cognitive Systems and Signal Processing in Image Processing presents different frameworks and applications of cognitive signal processing methods in image processing. This book provides an overview of recent applications in image processing by cognitive signal processing methods in the context of Big Data and Cognitive AI. It presents the amalgamation of cognitive systems and signal processing in the context of image processing approaches in solving various real-word application domains. This book reports the latest progress in cognitive big data and sustainable computing. Various real-time case studies and implemented works are discussed for better understanding and more clarity to readers. The combined model of cognitive data intelligence with learning methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues for computer vision in real-time. Presents cognitive signal processing methodologies that are related to challenging image processing application domains Provides the state-of-the-art in cognitive signal processing approaches in the area of big-data image processing Focuses on other technical aspects and alternatives to traditional tools, algorithms and methodologies Discusses various real-time case studies and implemented works


Recent Advances on Soft Computing and Data Mining

Recent Advances on Soft Computing and Data Mining

Author: Rozaida Ghazali

Publisher: Springer Nature

Published: 2019-12-04

Total Pages: 491

ISBN-13: 3030360563

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This book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get the most out of their large-scale data mining projects and research studies. It discusses data-analytical thinking, which is essential to extract useful knowledge and obtain commercial value from the data. Also known as data-driven science, soft computing and data mining disciplines cover a broad interdisciplinary range of scientific methods and processes. The book provides readers with sufficient knowledge to tackle a wide range of issues in complex systems, bringing together the scopes that integrate soft computing and data mining in various combinations of applications and practices, since to thrive in these data-driven ecosystems, researchers, data analysts and practitioners must understand the design choice and options of these approaches. This book helps readers to solve complex benchmark problems and to better appreciate the concepts, tools and techniques used.


Computer Vision and Machine Learning in Agriculture, Volume 2

Computer Vision and Machine Learning in Agriculture, Volume 2

Author: Mohammad Shorif Uddin

Publisher: Springer Nature

Published: 2022-03-13

Total Pages: 269

ISBN-13: 9811699917

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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.


Machine Learning and Deep Learning for Smart Agriculture and Applications

Machine Learning and Deep Learning for Smart Agriculture and Applications

Author: Avinash G. Keskar

Publisher: Engineering Science Reference

Published: 2023-08-29

Total Pages: 0

ISBN-13: 9781668499757

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"As health monitoring of plants and fruits is essential for sustainable agriculture. In the agriculture farming business, plant diseases are the major reason for monetary misfortunes around the globe. Automated detection and identification of plant diseases using sophisticated image processing coupled with advanced computer vision techniques results in accurate and fast identification with less human effort and labor cost. This book is to to provide an efficient solution for the detection of plants and fruit diseases, using various machine learning and deep learning techniques. The objective of the book is to find out how agriculture is involved with prepared and efficient profound learning algorithms. There are huge prospects for agriculture administration through the proper use of Machine Learning, Deep Learning, Big Data, and IoT structures. The majority of agricultural research institutes have already adopted Internet of Things for the monitoring of a variety of farm services"--


Applications of Remote Image Capture System in Agriculture

Applications of Remote Image Capture System in Agriculture

Author: Ginés García-Mateos

Publisher: MDPI

Published: 2020-12-04

Total Pages: 310

ISBN-13: 3039438050

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Remote image capture systems are a key element in efficient and sustainable agriculture nowadays. They are increasingly being used to obtain information of interest from the crops, the soil and the environment. It includes different types of capturing devices: from satellites and drones, to in-field devices; different types of spectral information, from visible RGB images, to multispectral images; different types of applications; and different types of techniques in the areas of image processing, computer vision, pattern recognition and machine learning. This book covers all these aspects, through a series of chapters that describe specific recent applications of these techniques in interesting problems of agricultural engineering.


Intelligent Healthcare Systems

Intelligent Healthcare Systems

Author: Vania V. Estrela

Publisher: CRC Press

Published: 2023-08-04

Total Pages: 492

ISBN-13: 1000954390

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The book sheds light on medical cyber-physical systems while addressing image processing, microscopy, security, biomedical imaging, automation, robotics, network layers’ issues, software design, and biometrics, among other areas. Hence, solving the dimensionality conundrum caused by the necessity to balance data acquisition, image modalities, different resolutions, dissimilar picture representations, subspace decompositions, compressed sensing, and communications constraints. Lighter computational implementations can circumvent the heavy computational burden of healthcare processing applications. Soft computing, metaheuristic, and deep learning ascend as potential solutions to efficient super-resolution deployment. The amount of multi-resolution and multi-modal images has been augmenting the need for more efficient and intelligent analyses, e.g., computer-aided diagnosis via computational intelligence techniques. This book consolidates the work on artificial intelligence methods and clever design paradigms for healthcare to foster research and implementations in many domains. It will serve researchers, technology professionals, academia, and students working in the area of the latest advances and upcoming technologies employing smart systems’ design practices and computational intelligence tactics for medical usage. The book explores deep learning practices within particularly difficult computational types of health problems. It aspires to provide an assortment of novel research works that focuses on the broad challenges of designing better healthcare services.


Precision Agriculture for Sustainability

Precision Agriculture for Sustainability

Author: Narendra Khatri

Publisher: CRC Press

Published: 2024-02-13

Total Pages: 506

ISBN-13: 1000955532

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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.