Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Agricultural Cybernetics
~
Huang, Yanbo.
Agricultural Cybernetics
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Agricultural Cybernetics/ by Yanbo Huang, Qin Zhang.
Author:
Huang, Yanbo.
other author:
Zhang, Qin.
Description:
XIV, 255 p. 111 illus., 94 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Machine learning. -
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. - 1st ed. 2021. - XIV, 255 p. 111 illus., 94 illus. in color.online resource. - 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:
561253
Machine learning.
LC Class. No.: S1-S972
Dewey Class. No.: 630
Agricultural Cybernetics
LDR
:03428nam a22004095i 4500
001
1045721
003
DE-He213
005
20210817221602.0
007
cr nn 008mamaa
008
220103s2021 sz | s |||| 0|eng d
020
$a
9783030721022
$9
978-3-030-72102-2
024
7
$a
10.1007/978-3-030-72102-2
$2
doi
035
$a
978-3-030-72102-2
050
4
$a
S1-S972
072
7
$a
TVB
$2
bicssc
072
7
$a
TEC003000
$2
bisacsh
072
7
$a
TVB
$2
thema
082
0 4
$a
630
$2
23
100
1
$a
Huang, Yanbo.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1349131
245
1 0
$a
Agricultural Cybernetics
$h
[electronic resource] /
$c
by Yanbo Huang, Qin Zhang.
250
$a
1st ed. 2021.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
XIV, 255 p. 111 illus., 94 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
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
Machine learning.
$3
561253
650
0
$a
Agriculture.
$3
660421
650
0
$a
Control engineering.
$3
1249728
650
0
$a
Food—Biotechnology.
$3
1253573
650
0
$a
Computer engineering.
$3
569006
650
0
$a
Internet of things.
$3
1023130
650
0
$a
Embedded computer systems.
$3
562313
650
0
$a
Engineering—Data processing.
$3
1297966
650
2 4
$a
Control and Systems Theory.
$3
1211358
650
2 4
$a
Food Science.
$3
673136
650
2 4
$a
Cyber-physical systems, IoT.
$3
1226036
650
2 4
$a
Data Engineering.
$3
1226308
650
2 4
$a
Machine Learning.
$3
1137723
700
1
$a
Zhang, Qin.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1349132
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030721015
776
0 8
$i
Printed edition:
$z
9783030721039
776
0 8
$i
Printed edition:
$z
9783030721046
830
0
$a
Agriculture Automation and Control,
$x
2731-3506
$3
1349133
856
4 0
$u
https://doi.org/10.1007/978-3-030-72102-2
912
$a
ZDB-2-SBL
912
$a
ZDB-2-SXB
950
$a
Biomedical and Life Sciences (SpringerNature-11642)
950
$a
Biomedical and Life Sciences (R0) (SpringerNature-43708)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login