東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Sensing, data managing, and control ...

Ma, Shaochun.

Linked to FindBook

Google Book

Amazon

博客來

Sensing, data managing, and control technologies for agricultural systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Sensing, data managing, and control technologies for agricultural systems/ edited by Shaochun Ma ... [et al.].
other author:	Ma, Shaochun.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	viii, 332 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Agricultural innovations. -
Online resource:	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 ... [et al.]. - Cham :Springer International Publishing :2022. - viii, 332 p. :ill., digital ;24 cm. - 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:

570532
Agricultural innovations.

LC Class. No.: S494.5.I5 / S45 2022

Dewey Class. No.: 338.16

Sensing, data managing, and control technologies for agricultural systems
LDR:03171nmm a2200349 a 4500 001 2301676
003 DE-He213
005 20220606222041.0
006 m d
007 cr nn 008maaau
008 230409s2022 sz s 0 eng d
020 $a 9783031038341 $q (electronic bk.)
020 $a 9783031038334 $q (paper)
024 7 $a 10.1007/978-3-031-03834-1 $2 doi
035 $a 978-3-031-03834-1
040 $a GP $c GP
041 0 $a eng
050 4 $a S494.5.I5 $b S45 2022
072 7 $a TVB $2 bicssc
072 7 $a TEC003000 $2 bisacsh
072 7 $a TVB $2 thema
082 0 4 $a 338.16 $2 23
090 $a S494.5.I5 $b S478 2022
245 0 0 $a Sensing, data managing, and control technologies for agricultural systems $h [electronic resource] / $c edited by Shaochun Ma ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a viii, 332 p. : $b ill., digital ; $c 24 cm.
338 $a online resource $b cr $2 rdacarrier
490 1 $a Agriculture automation and control, $x 2731-3506
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. $3 570532
650 0 $a Automatic control $x Industrial applications. $3 3601307
650 0 $a Remote sensing $x Industrial applications. $3 729831
650 1 4 $a Agriculture. $3 518588
650 2 4 $a Control, Robotics, Automation. $3 3592500
650 2 4 $a Food Science. $3 890841
650 2 4 $a Data Analysis and Big Data. $3 3538537
650 2 4 $a Machine Learning. $3 3382522
700 1 $a Ma, Shaochun. $3 3601306
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Agriculture automation and control. $3 3500687
856 4 0 $u https://doi.org/10.1007/978-3-031-03834-1
950 $a Biomedical and Life Sciences (SpringerNature-11642)