Ai Sensors And Robotics In Plant Phenotyping And Precision Agriculture Volume Ii

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Ai Sensors And Robotics In Plant Phenotyping And Precision Agriculture Volume Ii
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Author : Yongliang Qiao
language : en
Publisher: Frontiers Media SA
Release Date : 2023-07-03
Ai Sensors And Robotics In Plant Phenotyping And Precision Agriculture Volume Ii written by Yongliang Qiao 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 2023-07-03 with Science categories.
Ai Sensors And Robotics In Plant Phenotyping And Precision Agriculture
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Author : Yongliang Qiao
language : en
Publisher: Frontiers Media SA
Release Date : 2022-12-27
Ai Sensors And Robotics In Plant Phenotyping And Precision Agriculture written by Yongliang Qiao 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 2022-12-27 with Science categories.
Proceedings Of The International Conference On Recent Advances In Artificial Intelligence For Sustainable Development Raisd 2025
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Author : Piyush Ranjan
language : en
Publisher: Springer Nature
Release Date : 2025-08-18
Proceedings Of The International Conference On Recent Advances In Artificial Intelligence For Sustainable Development Raisd 2025 written by Piyush Ranjan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-18 with Computers categories.
This open access volume presents select proceedings of Recent Advances in Artificial Intelligence for Sustainable Development (RAISD).
Artificial Intelligence In Microbiology Scope And Challenges Volume 1
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Author :
language : en
Publisher: Elsevier
Release Date : 2024-08-02
Artificial Intelligence In Microbiology Scope And Challenges Volume 1 written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-02 with Science categories.
Nowadays, the field of microbiology is undergoing a revolutionary change due to the emergence of Artificial Intelligence (AI). AI is being used to analyze massive data in a predictable form, about the behavior of microorganisms, to solve microbial classification-related problems, exploring the interaction between microorganisms and the surrounding environment. It also helps to extract novel microbial metabolites which have been used in various fields like medical, food and agricultural industries. As the pace of innovation in Microbiology is accelerating, the use of AI in these industries will be beneficial. AI will not only show its extraordinary potential in expanding the market of antibiotics, food, and agriculture but also offer an eco-friendly, safer, and profitable solution to the respective industries. It would be challenging to search out specific features and discuss future research on AI in microbiology with a wide perspective. - Uncovering extended functions of AI in Microbiology. - Production and development of novel drug targets through AI. - Challenges for using and selecting appropriate AI tools in health, agriculture and food sector
Plant High Throughput Phenotyping And Functional Phenomics
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Author : Jen-Tsung Chen
language : en
Publisher: CRC Press
Release Date : 2025-06-20
Plant High Throughput Phenotyping And Functional Phenomics written by Jen-Tsung Chen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-20 with Science categories.
This book provides a series of comprehensive summaries highlighting the emerging achievements in the fields of plant high‐throughput phenotyping that leads to constructing functional phenomics, one of the essential components of plant functional genomics. It presents broad aspects of methods, applications, and future directions. It offers an efficient way for readers to overview this crucial topic to realize the concept as a whole, to advance the design of their future experiments, and to inspire the exploration of the knowledge, which eventually leads to better crop development in the future by scientists, plant biologists, and crop breeders. It covers advanced tools for studying functional phenomics, including artificial intelligence, imaging, remote sensing, robotics, and aerial vehicle technologies, to empower crop speed breeding, particularly in the development of stress‐tolerant future crops. The knowledge of this book supports the Sustainable Development Goals (SDGs) of the United Nations to develop climate‐smart and sustainable agriculture for achieving zero hunger globally.
Advances In Agronomy
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Author :
language : en
Publisher: Elsevier
Release Date : 2025-02-19
Advances In Agronomy written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-19 with Science categories.
Advances in Agronomy, Volume 190, the latest release in this leading reference on agronomy, contains a variety of updates and highlights new advances in the field, each written by an international board of authors. - Includes numerous, timely, state-of-the-art reviews on the latest advancements in agronomy - Features distinguished, well recognized authors from around the world - Builds upon this venerable and iconic review series - Covers the extensive variety and breadth of subject matter in the crop and soil sciences
Apple Production Technologies From Laboratory To Practical Applications
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Author : Zhao Zhang
language : en
Publisher: Springer Nature
Release Date : 2025-05-22
Apple Production Technologies From Laboratory To Practical Applications written by Zhao 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 2025-05-22 with Technology & Engineering categories.
This book comprehensively introduces innovative technologies for practical applications in apple production, which include, but not limited to autonomous thinning, Internet of Things, drones for pollination, disease detection and control, and growth stage detection. Conventional apple production is a labor-intensive industry, and many operations require labor, such as thinning, pollination, and harvest. Increasing labor cost and shrinking labor pool negatively affect the sustainability of apple industry. Meanwhile, recent technological progress in sensors and algorithms also impacted the apple industry. These developed technologies are gradually transferring from laboratory to practical applications to benefit apple production. This book provides undergraduates, M.S., and Ph.D. students in the area of smart agriculture, computer science, and mechanical engineering innovative robotics technologies for apple production.
Artificial Intelligence And Smart Agriculture Technology
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Author : M. Rubaiyat Hossain Mondal
language : en
Publisher: Auerbach Publications
Release Date : 2024-10-07
Artificial Intelligence And Smart Agriculture Technology written by M. Rubaiyat Hossain Mondal and has been published by Auerbach Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-07 with Business & Economics categories.
This book explores the application use of machine learning and artificial intelligence in smart agriculture by Identifying and describing functional and non-functional technologies. It identifies and discusses smart agriculture capabilities and conceptual prototypes, as well as demonstrates critical technological solutions.
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.
Remote Sensing For Field Based Crop Phenotyping
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Author : Jiangang Liu
language : en
Publisher: Frontiers Media SA
Release Date : 2024-02-12
Remote Sensing For Field Based Crop Phenotyping written by Jiangang 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 2024-02-12 with Science categories.
Dynamic monitoring of crop phenotypic traits (e.g., LAI, plant height, biomass, nitrogen, yield et al.) is essential for exploring crop growth patterns, breeding new varieties, and determining optimized strategies for crop management. Traditional methods for determining crop phenotypic traits are mainly based on field sampling, handheld instrument measurement, and mechanized high-throughput platforms, which are time-consuming, and have low efficiency and incomplete spatial coverage. The development of crop science requires more rapid and accurate access to field-based crop phenotypes. Remote sensing provides a novel solution to quantify crop structural and functional traits in a timely, rapid, non-invasive and efficient manner. With the development of burgeoning remote sensing sensors and diversified algorithms, a range of crop phenotypic traits have been determined, including morphological parameters, spectral and textural characteristics, physiological traits, and responses to abiotic/biotic stresses in different environments. In addition, research advances in varying disciplines beyond agricultural sciences, such as engineering, computer science, molecular biology, and bioinformatics, have brought new opportunities for further development of remote sensing-based methods and technologies to gain more quantitative information on crop structure and function in complex environments