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Sensing, Data Managing, and Control Technologies for Agricultural Systems

Tao Lin (Hrsg.), Shaochun Ma (Hrsg.), Kuan-Chong Ting (Hrsg.), Zhenghe Song (Hrsg.), Enrong Mao (Hrsg.)

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Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Landwirtschaft, Gartenbau

Beschreibung


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.


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Schlagwörter

guidance and steering control, agricultural robots, agricultural automation, Internet of Things, machine learning, sensing and perception