Sensing, Data Managing, and Control Technologies for Agricultural Systems
Series: Agriculture Automation and Control;
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Product details:
- Edition number 1st ed. 2022
- Publisher Springer International Publishing
- Date of Publication 9 June 2023
- Number of Volumes 1 pieces, Book
- ISBN 9783031038365
- Binding Paperback
- See also 9783031038334
- No. of pages332 pages
- Size 235x155 mm
- Weight 522 g
- Language English
- Illustrations VIII, 332 p. 135 illus., 102 illus. in color. Illustrations, black & white 460
Categories
Long description:
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.
Table of Contents:
Introduction : Overview of Sensing, data management, and control technologies for agricultural systems.- Agricultural Internet of Things .- Applied machine vision technologies in specialty crop production.- Imaging Technology for High-Throughput Plant Phenotyping .- Data-driven Modeling for Crop Growth in Plant factories .- Data-driven modeling for crop mapping and yield estimation .- Artificial Intelligence for Image Processing in Agriculture .- Smart Farming Management .- Emerging automated technologies on tractors .- Applied time-frequency control in agricultural machines - Applied Unmanned Aerial Vehicle technologies: opportunities and constraints .- Robotic Tree Fruit Harvesting: Status, Challenges, and Prosperities.
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