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Titlebook: Sensing Technologies for Field and In-House Crop Production; Technology Review an Man Zhang,Han Li,Zhao Zhang Book 2023 The Editor(s) (if a

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書目名稱Sensing Technologies for Field and In-House Crop Production
副標(biāo)題Technology Review an
編輯Man Zhang,Han Li,Zhao Zhang
視頻videohttp://file.papertrans.cn/866/865083/865083.mp4
概述Covers the applications of image processing and AI algorithms in agriculture.Provides take-away knowledge for unmanned agriculture production for students.Summarizes the technology progress for field
叢書名稱Smart Agriculture
圖書封面Titlebook: Sensing Technologies for Field and In-House Crop Production; Technology Review an Man Zhang,Han Li,Zhao Zhang Book 2023 The Editor(s) (if a
描述.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..
出版日期Book 2023
關(guān)鍵詞Field crops; Image processing; AI agriculture; Phenotyping technology; Agricultural robotics; In-house cr
版次1
doihttps://doi.org/10.1007/978-981-99-7927-1
isbn_softcover978-981-99-7929-5
isbn_ebook978-981-99-7927-1Series ISSN 2731-3476 Series E-ISSN 2731-3484
issn_series 2731-3476
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Recent Advances in Soil Nutrient Monitoring: A Review,reating systematic and informed fertilization strategies. This, in turn, amplifies crop growth and yield, all the while optimizing soil well-being. This review provides a comprehensive survey of prevalent soil nutrient analysis techniques, with a specific emphasis on laboratory methodologies, spectr
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Autonomous Crop Image Acquisition System Based on ROS System,er stress index (CWSI) can be calculated based on thermal infrared images and visible light images, which allows for the determination of crop water stress levels. In order to achieve automated, high-throughput, non-destructive continuous acquisition of visible light, thermal infrared images, and ra
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Development and Test of an Auto Seedling Detection System,icant. Germination rate is commonly used in laboratories as a criterion for judging the quality of maize, where counting of germinated seedlings is often done manually. Since it is inaccurate and time-consuming, automated, mechanized seedling counting under laboratory conditions is necessary. In thi
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Book 2023g, 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..
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