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Sensing, Data Managing, and Control Technologies for Agricultural Systems (Hardcover, 1st ed. 2022) Loot Price: R4,731
Discovery Miles 47 310
Sensing, Data Managing, and Control Technologies for Agricultural Systems (Hardcover, 1st ed. 2022): Shaochun Ma, Tao Lin,...

Sensing, Data Managing, and Control Technologies for Agricultural Systems (Hardcover, 1st ed. 2022)

Shaochun Ma, Tao Lin, Enrong Mao, Zhenghe Song, Kuan-Chong Ting

Series: Agriculture Automation and Control

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Loot Price R4,731 Discovery Miles 47 310 | Repayment Terms: R443 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Agriculture Automation and Control
Release date: June 2022
First published: 2022
Editors: Shaochun Ma • Tao Lin • Enrong Mao • Zhenghe Song • Kuan-Chong Ting
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 332
Edition: 1st ed. 2022
ISBN-13: 978-3-03-103833-4
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Professional & Technical > Agriculture & farming > Agricultural science
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Industrial chemistry > Food & beverage technology > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
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LSN: 3-03-103833-9
Barcode: 9783031038334

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