國立虎尾科技大學 |

Sensing, Data Managing, and Control Technologies for Agricultural Systems

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Sensing, Data Managing, and Control Technologies for Agricultural Systems/ edited by Shaochun Ma, Tao Lin, Enrong Mao, Zhenghe Song, Kuan-Chong Ting.
其他作者:	Ting, Kuan-Chong.
面頁冊數:	VIII, 332 p. 135 illus., 102 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Machine Learning. -
電子資源:	https://doi.org/10.1007/978-3-031-03834-1
ISBN:	9783031038341

Sensing, Data Managing, and Control Technologies for Agricultural Systems
Sensing, Data Managing, and Control Technologies for Agricultural Systems[electronic resource] /edited by Shaochun Ma, Tao Lin, Enrong Mao, Zhenghe Song, Kuan-Chong Ting. - 1st ed. 2022. - VIII, 332 p. 135 illus., 102 illus. in color.online resource. - Agriculture Automation and Control,2731-3506. - Agriculture Automation and Control,.

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. .

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.

ISBN: 9783031038341

Standard No.: 10.1007/978-3-031-03834-1doiSubjects--Topical Terms:

1137723
Machine Learning.

LC Class. No.: S1-972

Dewey Class. No.: 630

Sensing, Data Managing, and Control Technologies for Agricultural Systems
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