國立高雄大學圖資館 |

Language: English

Back

Agricultural cybernetics

Huang, Yanbo.

Agricultural cybernetics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Agricultural cyberneticsby Yanbo Huang, Qin Zhang.
Author:	Huang, Yanbo.
other author:	Zhang, Qin.
Published:	Cham :Springer International Publishing :2021.
Description:	xiv, 255 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	AgricultureAutomation.
Online resource:	https://doi.org/10.1007/978-3-030-72102-2
ISBN:	9783030721022

Agricultural cybernetics
Huang, Yanbo.

Agricultural cybernetics[electronic resource] /by Yanbo Huang, Qin Zhang. - Cham :Springer International Publishing :2021. - xiv, 255 p. :ill., digital ;24 cm. - Agriculture automation and control,2731-3506. - Agriculture automation and control..

Preface -- Introduction -- Mathematics, Statistics and Representations for Cybernetic Systems -- Control and Communication Characteristics of Agricultural Production Systems -- Modeling of Crop Production Systems and System Characterization -- Control Theory and Agricultural Production -- Control of Agricultural production Systems -- Mearning from the Data -- Outlook and Summary Remarks -- Bibliography -- Index.

Agricultural systems are uniquely complex systems, given that agricultural systems are parts of natural and ecological systems. Those aspects bring in a substantial degree of uncertainty in system operation. Also, impact factors, such as weather factors, are critical in agricultural systems but these factors are uncontrollable in system management. Modern agriculture has been evolving through precision agriculture beginning in the late 1980s and biotechnological innovations in the early 2000s. Precision agriculture implements site-specific crop production management by integrating agricultural mechanization and information technology in geographic information system (GIS), global navigation satellite system (GNSS), and remote sensing. Now, precision agriculture is set to evolve into smart agriculture with advanced systematization, informatization, intelligence and automation. From precision agriculture to smart agriculture, there is a substantial amount of specific control and communication problems that have been investigated and will continue to be studied. In this book, the core ideas and methods from control problems in agricultural production systems are extracted, and a system view of agricultural production is formulated for the analysis and design of management strategies to control and optimize agricultural production systems while exploiting the intrinsic feedback information-exchanging mechanisms. On this basis, the theoretical framework of agricultural cybernetics is established to predict and control the behavior of agricultural production systems through control theory.

ISBN: 9783030721022

Standard No.: 10.1007/978-3-030-72102-2doiSubjects--Topical Terms:

901242
Agriculture
--Automation.

LC Class. No.: S675 / .H83 2021

Dewey Class. No.: 631.3

Agricultural cybernetics
LDR:03044nmm a2200337 a 4500 001 607683
003 DE-He213
005 20210817221602.0
006 m o d
007 cr nn 008maaau
008 220119s2021 sz s 0 eng d
020 $a 9783030721022 $q (electronic bk.)
020 $a 9783030721015 $q (paper)
024 7 $a 10.1007/978-3-030-72102-2 $2 doi
035 $a 978-3-030-72102-2
040 $a GP $c GP
041 0 $a eng
050 4 $a S675 $b .H83 2021
072 7 $a TVB $2 bicssc
072 7 $a TEC003000 $2 bisacsh
072 7 $a TVB $2 thema
082 0 4 $a 631.3 $2 23
090 $a S675 $b .H874 2021
100 1 $a Huang, Yanbo. $3 904818
245 1 0 $a Agricultural cybernetics $h [electronic resource] / $c by Yanbo Huang, Qin Zhang.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xiv, 255 p. : $b ill., digital ; $c 24 cm.
490 1 $a Agriculture automation and control, $x 2731-3506
505 0 $a Preface -- Introduction -- Mathematics, Statistics and Representations for Cybernetic Systems -- Control and Communication Characteristics of Agricultural Production Systems -- Modeling of Crop Production Systems and System Characterization -- Control Theory and Agricultural Production -- Control of Agricultural production Systems -- Mearning from the Data -- Outlook and Summary Remarks -- Bibliography -- Index.
520 $a Agricultural systems are uniquely complex systems, given that agricultural systems are parts of natural and ecological systems. Those aspects bring in a substantial degree of uncertainty in system operation. Also, impact factors, such as weather factors, are critical in agricultural systems but these factors are uncontrollable in system management. Modern agriculture has been evolving through precision agriculture beginning in the late 1980s and biotechnological innovations in the early 2000s. Precision agriculture implements site-specific crop production management by integrating agricultural mechanization and information technology in geographic information system (GIS), global navigation satellite system (GNSS), and remote sensing. Now, precision agriculture is set to evolve into smart agriculture with advanced systematization, informatization, intelligence and automation. From precision agriculture to smart agriculture, there is a substantial amount of specific control and communication problems that have been investigated and will continue to be studied. In this book, the core ideas and methods from control problems in agricultural production systems are extracted, and a system view of agricultural production is formulated for the analysis and design of management strategies to control and optimize agricultural production systems while exploiting the intrinsic feedback information-exchanging mechanisms. On this basis, the theoretical framework of agricultural cybernetics is established to predict and control the behavior of agricultural production systems through control theory.
650 0 $a Agriculture $x Automation. $3 901242
650 0 $a Cybernetics. $3 180717
650 1 4 $a Agriculture. $3 274257
650 2 4 $a Control and Systems Theory. $3 825946
650 2 4 $a Food Science. $3 274110
650 2 4 $a Cyber-physical systems, IoT. $3 836359
650 2 4 $a Data Engineering. $3 839346
650 2 4 $a Machine Learning. $3 833608
700 1 $a Zhang, Qin. $3 901240
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Agriculture automation and control. $3 901241
856 4 0 $u https://doi.org/10.1007/978-3-030-72102-2
950 $a Biomedical and Life Sciences (SpringerNature-11642)