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Intelligent Image Analysis For Plant Phenotyping


Intelligent Image Analysis For Plant Phenotyping
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Intelligent Image Analysis For Plant Phenotyping


Intelligent Image Analysis For Plant Phenotyping
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Author : Ashok Samal
language : en
Publisher: CRC Press
Release Date : 2020-10-21

Intelligent Image Analysis For Plant Phenotyping written by Ashok Samal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-21 with Computers categories.


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.



Machine Vision And Machine Learning For Plant Phenotyping And Precision Agriculture


Machine Vision And Machine Learning For Plant Phenotyping And Precision Agriculture
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Author : Huajian Liu
language : en
Publisher: Frontiers Media SA
Release Date : 2024-01-18

Machine Vision And Machine Learning For Plant Phenotyping And Precision Agriculture written by Huajian Liu 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 2024-01-18 with Science categories.


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.



Spectroscopy Imaging And Machine Learning For Crop Stress


Spectroscopy Imaging And Machine Learning For Crop Stress
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Author : Shizhuang Weng
language : en
Publisher: Frontiers Media SA
Release Date : 2023-08-21

Spectroscopy Imaging And Machine Learning For Crop Stress written by Shizhuang Weng 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 2023-08-21 with Science categories.




Sensing Data Managing And Control Technologies For Agricultural Systems


Sensing Data Managing And Control Technologies For Agricultural Systems
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Author : Shaochun Ma
language : en
Publisher: Springer Nature
Release Date : 2022-06-06

Sensing Data Managing And Control Technologies For Agricultural Systems written by Shaochun Ma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-06 with Technology & Engineering categories.


Agricultural automation is the emerging technologies which heavily rely on computer-integrated management and advanced control systems. The tedious farming tasks had been taken over by agricultural machines in last century, in new millennium, computer-aided systems, automation, and robotics has been applied to precisely manage agricultural production system. With agricultural automation technologies, sustainable agriculture is being developed based on efficient use of land, increased conservation of water, fertilizer and energy resources. The agricultural automation technologies refer to related areas in sensing & perception, reasoning & learning, data communication, and task planning & execution. Since the literature on this diverse subject is widely scattered, it is necessary to review current status and capture the future challenges through a comprehensive monograph. In this book we focus on agricultural automation and provide critical reviews of advanced control technologies, their merits and limitations, application areas and research opportunities for further development. This collection thus serves as an authoritative treatise that can help researchers, engineers, educators, and students in the field of sensing, control, and automation technologies for production agriculture.



Phenotyping From Plant To Data To Impact And Highlights Of The The International Plant Phenotyping Symposium Ipps 2018


Phenotyping From Plant To Data To Impact And Highlights Of The The International Plant Phenotyping Symposium Ipps 2018
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Author : Trevor Garnett
language : en
Publisher: Frontiers Media SA
Release Date : 2021-01-19

Phenotyping From Plant To Data To Impact And Highlights Of The The International Plant Phenotyping Symposium Ipps 2018 written by Trevor Garnett 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 2021-01-19 with Science categories.




Machine Learning And Artificial Intelligence In Chemical And Biological Sensing


Machine Learning And Artificial Intelligence In Chemical And Biological Sensing
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Author : Jeong-Yeol Yoon
language : en
Publisher: Elsevier
Release Date : 2024-07-07

Machine Learning And Artificial Intelligence In Chemical And Biological Sensing written by Jeong-Yeol Yoon and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-07 with Science categories.


Machine learning (ML) has recently become popular in chemical and biological sensing applications. ML is a subset of artificial intelligence (AI) and other AI techniques have been used in various chemical and biological sensing. Machine Learning and Artificial Intelligence in Chemical and Biological Sensing covers the theoretical background and practical applications of various ML/AI methods toward chemical and biological sensing. No comprehensive reference text has been available previously to cover the wide breadth of this topic. The Editors have written the first three chapters to firmly introduce the reader to fundamental ML theories that can be used for chemical/biosensing. The subsequent chapters then cover the practical applications with contributions by various experts in the field. They show how ML and AI-based techniques can provide solutions for: 1) identifying and quantifying target molecules when specific receptors are unavailable 2) analyzing complex mixtures of target molecules, such as gut microbiome and soil microbiome3) analyzing high-throughput and high-dimensional data, such as drug screening, molecular interaction, and environmental toxicant analysis, 4) analyzing complex data sets where fingerprinting approach is needed This book is written primarily for upper undergraduate students, graduate students, research staff, and faculty members at teaching and research universities and colleges who are working on chemical sensing, biosensing, analytical chemistry, analytical biochemistry, biomedical imaging, medical diagnostics, environmental monitoring, and agricultural applications. - Presents the first comprehensive reference text on the use of ML and AI for chemical and biological sensing - Provides a firm grounding in the fundamental theories on ML and AI before covering the practical applications with contributions by various experts in the field - Includes a wide array of practical applications covered, including: E-nose, Raman, SERS, lens-free imaging, multi/hyperspectral imaging, NIR/optical imaging, receptor-free biosensing, paper microfluidics, single molecule analysis in biomedicine, in situ protein characterization, microbial population dynamics, and all-in-one sensor systems



Advances Plant Phenotyping More Sustaihb


Advances Plant Phenotyping More Sustaihb
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Author : Achim Walter
language : en
Publisher: Burleigh Dodds Series in Agricultural Science
Release Date : 2022-03-22

Advances Plant Phenotyping More Sustaihb written by Achim Walter and has been published by Burleigh Dodds Series in Agricultural Science this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-22 with categories.


Plant phenotyping is an emerging technology that involves the quantitative analysis of structural and functional plant traits. However, it is widely recognised that phenotyping needs to match similar advances in genetics if it is to not create a bottleneck in plant breeding. Advances in plant phenotyping for more sustainable crop production reviews the wealth of research on advances in plant phenotyping to meet this challenge, such as the development of new technologies including hyperspectral sensors such as LIDAR, NIR/SWIR, as well as alternative delivery/carrier systems, such as ground-based proximal distance systems and UAVs. The book details the development of plant phenotyping as a technique to analyse crop roots and functionality, as well as its use in understanding and improving crop response to biotic and abiotic stresses.



Sensing Technologies For Field And In House Crop Production


Sensing Technologies For Field And In House Crop Production
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Author : Man Zhang
language : en
Publisher: Springer Nature
Release Date : 2023-11-27

Sensing Technologies For Field And In House Crop Production written by Man Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-27 with Technology & Engineering categories.


This book focuses on state-of-the-art sensing and automation technologies for field crops and in-house product production and provides a lot of innovative knowledge on image processing, AI algorithms and applications in agriculture, and robotics. This book provides undergraduate or graduate students with take-away knowledge for unmanned agricultural production, including but not limited to corn disease detection, wheat head detection and counting, and soil nutrient condition monitoring. The first three chapters focus on reviewing plant phenotyping sensing technology and robotics and soil nutrient monitoring, followed by in-house crop sensing robotics. Then two case studies on corn and the other two case studies on wheat are presented.



Plant Image Analysis


Plant Image Analysis
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Author : S. Dutta Gupta
language : en
Publisher:
Release Date : 2015

Plant Image Analysis written by S. Dutta Gupta and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Electronic books categories.




Nature Inspired Optimization Techniques For Image Processing Applications


Nature Inspired Optimization Techniques For Image Processing Applications
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Author : Jude Hemanth
language : en
Publisher: Springer
Release Date : 2018-09-19

Nature Inspired Optimization Techniques For Image Processing Applications written by Jude Hemanth and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-19 with Technology & Engineering categories.


This book provides a platform for exploring nature-inspired optimization techniques in the context of imaging applications. Optimization has become part and parcel of all computational vision applications, and since the amount of data used in these applications is vast, the need for optimization techniques has increased exponentially. These accuracy and complexity are a major area of concern when it comes to practical applications. However, these optimization techniques have not yet been fully explored in the context of imaging applications. By presenting interdisciplinary concepts, ranging from optimization to image processing, the book appeals to a broad readership, while also encouraging budding engineers to pursue and employ innovative nature-inspired techniques for image processing applications.