Machine Vision And Machine Learning For Plant Phenotyping And Precision Agriculture

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Machine Vision and Machine Learning for Plant Phenotyping and Precision Agriculture

Author : Huajian Liu
Publisher : Frontiers Media SA
ISBN 13 : 283254293X
Total Pages : 423 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Machine Vision and Machine Learning for Plant Phenotyping and Precision Agriculture by : Huajian Liu

Download or read book Machine Vision and Machine Learning for Plant Phenotyping and Precision Agriculture written by Huajian Liu and published by Frontiers Media SA. This book was released on 2024-01-18 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Plant phenotyping (PP) describes the physiological and biochemical properties of plants affected by both genotypes and environments. It is an emerging research field that is assisting the breeding and cultivation of new crop varieties to be more productive and resilient to challenging environments. Precision agriculture (PA) uses sensing technologies to observe crops and then manage them optimally to ensure that they grow in healthy conditions, have maximum productivity, and have minimal negative effects on the environment. Traditionally, the observation of plant traits heavily relies on human experts which is labor intensive, time-consuming, and subjective. Automatic crop traits measurement in PP and PA are two different fields, but they share the same sensing and data processing technologies in many respects. Recently, driven by computer and sensor technologies, machine vision (MV) and machine learning (ML) have contributed to accurate, high-throughput, and nondestructive plant phenotyping and precision agriculture. However, these technologies are still in their infant stage and there are many challenges and questions related to them that still need to be addressed. The goal of this Research Topic is to provide a platform to share the latest research results on the application of MV and ML for PP and PA. It aims to highlight cutting-edge technologies, bottle-necks, and future research directions for MV and ML in crop breeding, crop cultivation, disease management, weed control, and pest control.

AI, Sensors and Robotics in Plant Phenotyping and Precision Agriculture, Volume II

Author : Yongliang Qiao
Publisher : Frontiers Media SA
ISBN 13 : 2832527450
Total Pages : 266 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis AI, Sensors and Robotics in Plant Phenotyping and Precision Agriculture, Volume II by : Yongliang Qiao

Download or read book AI, Sensors and Robotics in Plant Phenotyping and Precision Agriculture, Volume II written by Yongliang Qiao and published by Frontiers Media SA. This book was released on 2023-07-03 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computer vision in plant phenotyping and agriculture

Author : Valerio Giuffrida
Publisher : Frontiers Media SA
ISBN 13 : 2832510655
Total Pages : 265 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Computer vision in plant phenotyping and agriculture by : Valerio Giuffrida

Download or read book Computer vision in plant phenotyping and agriculture written by Valerio Giuffrida and published by Frontiers Media SA. This book was released on 2023-06-06 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computer Vision and Machine Learning in Agriculture

Author : Mohammad Shorif Uddin
Publisher : Springer Nature
ISBN 13 : 9813364246
Total Pages : 172 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Computer Vision and Machine Learning in Agriculture by : Mohammad Shorif Uddin

Download or read book Computer Vision and Machine Learning in Agriculture written by Mohammad Shorif Uddin and published by Springer Nature. This book was released on 2021-03-23 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

High-Throughput Crop Phenotyping

Author : Jianfeng Zhou
Publisher : Springer Nature
ISBN 13 : 3030737349
Total Pages : 249 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis High-Throughput Crop Phenotyping by : Jianfeng Zhou

Download or read book High-Throughput Crop Phenotyping written by Jianfeng Zhou and published by Springer Nature. This book was released on 2021-07-17 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of the innovations in crop phenotyping using emerging technologies, i.e., high-throughput crop phenotyping technology, including its concept, importance, breakthrough and applications in different crops and environments. Emerging technologies in sensing, machine vision and high-performance computing are changing the world beyond our imagination. They are also becoming the most powerful driver of the innovation in agriculture technology, including crop breeding, genetics and management. It includes the state of the art of technologies in high-throughput phenotyping, including advanced sensors, automation systems, ground-based or aerial robotic systems. It also discusses the emerging technologies of big data processing and analytics, such as advanced machine learning and deep learning technologies based on high-performance computing infrastructure. The applications cover different organ levels (root, shoot and seed) of different crops (grains, soybean, maize, potato) at different growth environments (open field and controlled environments). With the contribution of more than 20 world-leading researchers in high-throughput crop phenotyping, the authors hope this book provides readers the needed information to understand the concept, gain the insides and create the innovation of high-throughput phenotyping technology.

Computer Vision and Machine Learning in Agriculture, Volume 3

Author : Jagdish Chand Bansal
Publisher : Springer Nature
ISBN 13 : 981993754X
Total Pages : 215 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Computer Vision and Machine Learning in Agriculture, Volume 3 by : Jagdish Chand Bansal

Download or read book Computer Vision and Machine Learning in Agriculture, Volume 3 written by Jagdish Chand Bansal and published by Springer Nature. This book was released on 2023-07-31 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

AI, sensors and robotics in plant phenotyping and precision agriculture

Author : Yongliang Qiao
Publisher : Frontiers Media SA
ISBN 13 : 2832509770
Total Pages : 367 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis AI, sensors and robotics in plant phenotyping and precision agriculture by : Yongliang Qiao

Download or read book AI, sensors and robotics in plant phenotyping and precision agriculture written by Yongliang Qiao and published by Frontiers Media SA. This book was released on 2022-12-27 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Image Analysis for Plant Phenotyping

Author : Ashok Samal
Publisher : CRC Press
ISBN 13 : 1351709992
Total Pages : 347 pages
Book Rating : 4.3/5 (517 download)

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Book Synopsis Intelligent Image Analysis for Plant Phenotyping by : Ashok Samal

Download or read book Intelligent Image Analysis for Plant Phenotyping written by Ashok Samal and published by CRC Press. This book was released on 2020-10-21 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Domesticated crops are the result of artificial selection for particular phenotypes or, in some cases, natural selection for an adaptive trait. Plant traits can be identified through image-based plant phenotyping, a process that was, until recently, strenous and time-consuming. Intelligent Image Analysis for Plant Phenotyping reviews information on time-saving techniques, using computer vision and imaging technologies. These methodologies provide an automated, non-invasive, and scalable mechanism by which to define and collect plant phenotypes. Beautifully illustrated, with numerous color images, the book focuses on phenotypes measured from individual plants under controlled experimental conditions, which are widely available in high-throughput systems. Features: Presents methodologies for image processing, including data-driven and machine learning techniques for plant phenotyping. Features information on advanced techniques for extracting phenotypes through images and image sequences captured in a variety of modalities. Includes real-world scientific problems, including predicting yield by modeling interactions between plant data and environmental information. Discusses the challenge of translating images into biologically informative quantitative phenotypes. A practical resource for students, researchers, and practitioners, this book is invaluable for those working in the emerging fields at the intersection of computer vision and plant sciences.

Recent Advances in Big Data, Machine, and Deep Learning for Precision Agriculture

Author : Muhammad Fazal Ijaz
Publisher : Frontiers Media SA
ISBN 13 : 2832544959
Total Pages : 379 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Recent Advances in Big Data, Machine, and Deep Learning for Precision Agriculture by : Muhammad Fazal Ijaz

Download or read book Recent Advances in Big Data, Machine, and Deep Learning for Precision Agriculture written by Muhammad Fazal Ijaz and published by Frontiers Media SA. This book was released on 2024-02-19 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Image Analysis for Plant Phenotyping

Author : Ashok Samal
Publisher : CRC Press
ISBN 13 : 1351709984
Total Pages : 271 pages
Book Rating : 4.3/5 (517 download)

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Book Synopsis Intelligent Image Analysis for Plant Phenotyping by : Ashok Samal

Download or read book Intelligent Image Analysis for Plant Phenotyping written by Ashok Samal and published by CRC Press. This book was released on 2020-10-21 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Domesticated crops are the result of artificial selection for particular phenotypes or, in some cases, natural selection for an adaptive trait. Plant traits can be identified through image-based plant phenotyping, a process that was, until recently, strenous and time-consuming. Intelligent Image Analysis for Plant Phenotyping reviews information on time-saving techniques, using computer vision and imaging technologies. These methodologies provide an automated, non-invasive, and scalable mechanism by which to define and collect plant phenotypes. Beautifully illustrated, with numerous color images, the book focuses on phenotypes measured from individual plants under controlled experimental conditions, which are widely available in high-throughput systems. Features: Presents methodologies for image processing, including data-driven and machine learning techniques for plant phenotyping. Features information on advanced techniques for extracting phenotypes through images and image sequences captured in a variety of modalities. Includes real-world scientific problems, including predicting yield by modeling interactions between plant data and environmental information. Discusses the challenge of translating images into biologically informative quantitative phenotypes. A practical resource for students, researchers, and practitioners, this book is invaluable for those working in the emerging fields at the intersection of computer vision and plant sciences.

Precision Agriculture for Sustainability

Author : Narendra Khatri
Publisher : CRC Press
ISBN 13 : 1000955532
Total Pages : 506 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Precision Agriculture for Sustainability by : Narendra Khatri

Download or read book Precision Agriculture for Sustainability written by Narendra Khatri and published by CRC Press. This book was released on 2024-02-13 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

High-Throughput Field Phenotyping to Advance Precision Agriculture and Enhance Genetic Gain

Author : Urs Schmidhalter
Publisher : Frontiers Media SA
ISBN 13 : 2889711595
Total Pages : 399 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis High-Throughput Field Phenotyping to Advance Precision Agriculture and Enhance Genetic Gain by : Urs Schmidhalter

Download or read book High-Throughput Field Phenotyping to Advance Precision Agriculture and Enhance Genetic Gain written by Urs Schmidhalter and published by Frontiers Media SA. This book was released on 2021-08-10 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Application of Machine Learning in Agriculture

Author : Mohammad Ayoub Khan
Publisher : Academic Press
ISBN 13 : 0323906680
Total Pages : 332 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Application of Machine Learning in Agriculture by : Mohammad Ayoub Khan

Download or read book Application of Machine Learning in Agriculture written by Mohammad Ayoub Khan and published by Academic Press. This book was released on 2022-05-14 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Application of Machine Learning in Smart Agriculture is the first book to present a multidisciplinary look at how technology can not only improve agricultural output, but the economic efficiency of that output as well. Through a global lens, the book approaches the subject from a technical perspective, providing important knowledge and insights for effective and efficient implementation and utilization of machine learning. As artificial intelligence techniques are being used to increase yield through optimal planting, fertilizing, irrigation, and harvesting, these are only part of the complex picture which must also take into account the economic investment and its optimized return. The performance of machine learning models improves over time as the various mathematical and statistical models are proven. Presented in three parts, Application of Machine Learning in Smart Agriculture looks at the fundamentals of smart agriculture; the economics of the technology in the agricultural marketplace; and a diverse representation of the tools and techniques currently available, and in development. This book is an important resource for advanced level students and professionals working with artificial intelligence, internet of things, technology and agricultural economics. Addresses the technology of smart agriculture from a technical perspective Reveals opportunities for technology to improve and enhance not only yield and quality, but the economic value of a food crop Discusses physical instruments, simulations, sensors, and markets for machine learning in agriculture

High-Throughput Field Phenotyping to Advance Precision Agriculture and Enhance Genetic Gain, Volume II

Author : Andreas Hund
Publisher : Frontiers Media SA
ISBN 13 : 2832545459
Total Pages : 161 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis High-Throughput Field Phenotyping to Advance Precision Agriculture and Enhance Genetic Gain, Volume II by : Andreas Hund

Download or read book High-Throughput Field Phenotyping to Advance Precision Agriculture and Enhance Genetic Gain, Volume II written by Andreas Hund and published by Frontiers Media SA. This book was released on 2024-03-01 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Research Topic is part of the High-Throughput Field Phenotyping to Advance Precision Agriculture and Enhance Genetic Gain series. The discipline of “High Throughput Field Phenotyping” (HTFP) has gained momentum in the last decade. HTFP includes a wide range of disciplines such as plant science, agronomy, remote sensing, and genetics; as well as biochemistry, imaging, computation, agricultural engineering, and robotics. High throughput technologies have substantially increased our ability to monitor and quantify field experiments and breeding nurseries at multiple scales. HTFP technology can not only rapidly and cost-effectively replace tedious and subjective ratings in the field, but can also unlock the potential of new, latent phenotypes representing underlying biological function. These advances have also provided the ability to follow crop growth and development across seasons at high and previously inaccessible spatial and temporal resolutions. By combining these data with measurements of all environmental factors affecting plant growth and yield (“Envirotyping”), genotypic-specific reaction norms and phenotypic plasticity may be elucidated.

Artificial Intelligence-of-Things (AIoT) in Precision Agriculture

Author : Yaqoob Majeed
Publisher : Frontiers Media SA
ISBN 13 : 2832544312
Total Pages : 206 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Artificial Intelligence-of-Things (AIoT) in Precision Agriculture by : Yaqoob Majeed

Download or read book Artificial Intelligence-of-Things (AIoT) in Precision Agriculture written by Yaqoob Majeed and published by Frontiers Media SA. This book was released on 2024-02-12 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: The merging of Artificial Intelligence (AI) and Internet-of-Things is known as Artificial Intelligence-of-Things (AIoT). IoT consists of interlinked computing devices and machines which can acquire, transfer, and execute field/industrial operations without human involvement, while AI processes the acquired data and helps extract the required information. The technologies work in synergy: AI enriches IoT through machine learning and deep learning-based data analysis and learning capabilities, whereas IoT enriches AI through data acquisition, connectivity, and data exchange. Precision agriculture is becoming critically important for sustainable food production to meet the growing food demand. In recent decades, AI and IoT techniques have played an increasing role within industrial operations (e.g. autonomous manufacturing, automated supply chain management, predictive maintenance, smart energy grids, smart home appliances, and wearables), however, agricultural field operations are still heavily dependent on human labor. This is because these operations are ill-defined, unstructured, and susceptible to variation in natural conditions (e.g. illumination, landscape, atmosphere) plus the biological nature of crops (fruits, stems, leaves, and/or shoots continuously change their shape and/or color as they grow).

Mechatronics and Machine Vision in Practice 4

Author : John Billingsley
Publisher : Springer Nature
ISBN 13 : 3030437035
Total Pages : 309 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Mechatronics and Machine Vision in Practice 4 by : John Billingsley

Download or read book Mechatronics and Machine Vision in Practice 4 written by John Billingsley and published by Springer Nature. This book was released on 2020-09-05 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: The many intriguing examples on the application of mechatronics reinforce the excitement of this creative field of technology. As a collection they present a stimulating resource to developers of future mechatronics technology, and to educators searching for interesting examples. From structured-light measurement of the build-up of detritus on railway bogies and detection of uncracked spores of Chinese medicine to a practical tractor vision guidance system embedded in a smart-phone application, the practical applications of mechatronics and machine vision abound. Fruits are counted on the tree, pasture biomass is measured and a robot collects camel dung as a resource. 3D printing is in vogue, but papers here discuss the construction and strategy of the printer itself. The measurement and analysis of myoelectric muscle signals enable a prosthesis to be controlled and a feeding robot is used for patient care. An exoskeleton has both soft and rigid links and an optical sensor analyses the tissue into which a surgical needle is being inserted. These are some of the papers in this collection from the 26th annual conference on Mechatronics and Machine Vision in Practice, carefully selected to exclude papers that are merely theoretical and to highlight those that show practical verification. Papers have been contributed from China, New Zealand, the Philippines, Emirates, Germany and of course Australia.

Artificial Neural Networks in Agriculture

Author : Sebastian Kujawa
Publisher : Mdpi AG
ISBN 13 : 9783036515809
Total Pages : 284 pages
Book Rating : 4.5/5 (158 download)

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Book Synopsis Artificial Neural Networks in Agriculture by : Sebastian Kujawa

Download or read book Artificial Neural Networks in Agriculture written by Sebastian Kujawa and published by Mdpi AG. This book was released on 2021-11-11 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern agriculture needs to have high production efficiency combined with a high quality of obtained products. This applies to both crop and livestock production. To meet these requirements, advanced methods of data analysis are more and more frequently used, including those derived from artificial intelligence methods. Artificial neural networks (ANNs) are one of the most popular tools of this kind. They are widely used in solving various classification and prediction tasks, for some time also in the broadly defined field of agriculture. They can form part of precision farming and decision support systems. Artificial neural networks can replace the classical methods of modelling many issues, and are one of the main alternatives to classical mathematical models. The spectrum of applications of artificial neural networks is very wide. For a long time now, researchers from all over the world have been using these tools to support agricultural production, making it more efficient and providing the highest-quality products possible.