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• 000 03745cam a2200433Ii 4500

• 001 0000828587

• 003 OCoLC

• 005 20250904110200.0

• 008 220621s2022 sz o 000 0 eng d

• 020 __ |a 9783031038341 |q (electronic bk.)

• 020 __ |a 3031038347 |q (electronic bk.)

• 020 __ |a 3031038339

• 020 __ |a 9783031038334

• 035 __ |a (OCoLC)1331329437 |z (OCoLC)1330689079 |z (OCoLC)1330932528

• 040 __ |a GW5XE |b eng |e rda |e pn |c GW5XE |d EBLCP |d YDX

• 050 _4 |a S494.5.I5

• 082 04 |a 338.1/6 |2 23/eng/20220621

• 090 __ |a F303.2/X6

• 093 __ |a F303.2 |2 5

• 245 00 |a Sensing, data managing, and control technologies for agricultural systems / |c Shaochun Ma, Tao Lin, Enrong Mao, Zhenghe Song, Kuan-Chong Ting, editors

• 260 __ |a Cham, Switzerland : |b Springer, |c 2022

• 300 __ |a 1 volume : |b illustrations (black and white, and color) ; |c 24 cm

• 336 __ |a text |b txt |2 rdacontent

• 337 __ |a unmediated |b n |2 rdamedia

• 338 __ |a volume |b nc |2 rdacarrier

• 490 1_ |a Agriculture automation and control

• 505 0_ |a 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

• 520 __ |a 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

• 650 _0 |a Agricultural innovations.

• 650 _0 |a Automatic control |x Industrial applications.

• 650 _0 |a Remote sensing |x Industrial applications.

• 700 1_ |a Ma, Shaochun, |e editor

• 700 1_ |a Lin, Tao, |e editor

• 700 1_ |a Mao, Enrong, |e editor

• 700 1_ |a Song, Zhenghe, |e editor

• 700 1_ |a Ting, Kuan-Chong, |e editor

• 710 2_ |a Ohio Library and Information Network.

• 776 08 |i Print version: |t SENSING, DATA MANAGING, AND CONTROL TECHNOLOGIES FOR AGRICULTURAL SYSTEMS. |d [Place of publication not identified] : SPRINGER INTERNATIONAL PU, 2022 |z 3031038339 |w (OCoLC)1304815948

• 830 _0 |a Agriculture automation and control