語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Artificial intelligence techniques in smart agriculture
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Artificial intelligence techniques in smart agriculture/ edited by Siddharth Singh Chouhan ... [et al.].
其他作者:
Chouhan, Siddharth Singh.
出版者:
Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:
xxii, 287 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:
Springer Nature eBook
標題:
Computer Imaging, Vision, Pattern Recognition and Graphics. -
電子資源:
https://doi.org/10.1007/978-981-97-5878-4
ISBN:
9789819758784
Artificial intelligence techniques in smart agriculture
Artificial intelligence techniques in smart agriculture
[electronic resource] /edited by Siddharth Singh Chouhan ... [et al.]. - Singapore :Springer Nature Singapore :2024. - xxii, 287 p. :ill. (some col.), digital ;24 cm.
Chapter 1. Assessing the importance and need of Artificial Intelligence for Precision Agriculture -- Chapter 2. Challenges in Achieving Artificial Intelligence in Agriculture -- Chapter 3. Introduction to Artificial Intelligence techniques in Agricultural applications and their future aspects -- Chapter 4. Agricultural Artificial Intelligence: Obstacles and Opportunities -- Chapter 5. Smart Farming Management System: Pre and Post Production Interventions -- Chapter 6. Introduction to various intelligent devices and implementation platforms -- Chapter 7. Fruit Counting and Analysis Using Artificial Intelligence Approaches -- Chapter 8. Deep Learning-Based Plant Stress Diagnosis: An Optimized Generative Augmentation Model Approach -- Chapter 9. Transformative Impact of AI-Driven Computer Vision in Agriculture -- Chapter 10. An in-depth analysis of artificial intelligence-based crop pest management and water supply regulation -- Chapter 11. AI for Data-Driven Decision Making in Smart Agriculture: From Field to Farm Management -- Chapter 12. AI based Regulation of Water supply and Pest Management in Farming -- Chapter 13. Advancement and Challenges of Implementing Artificial Intelligence of Things in Precision Agriculture -- Chapter 14. Enabling Digital Platforms: Towards Smart Agriculture -- Chapter 15. IoT and Drone-Based Field Monitoring and Surveillance System -- Chapter 16. IoT based Real Time Farm Management System for Smart Agriculture.
This edited volume explores the integration of artificial intelligence to improve crop production. It addresses the critical need for intelligent crop management in light of the world's escalating population. Encompassing a spectrum of technologies, including computer vision, image processing, soft computing, machine learning, and deep learning, the book explores advancements in decision-making systems. It integrates data science methodologies, Internet of Things, wireless communications, and a range of sensors and actuators to provide precise, timely, and cost-effective solutions to agricultural challenges, ultimately enhancing both the quality and quantity of crop yields. The book empowers its audience to direct their efforts towards designing models and prototypes that benefit society and the environment, making it an indispensable resource for those eager to shape the future of intelligent agriculture. It serves as a comprehensive guide for students, scholars, and academicians keen on delving into the transformative field of artificial intelligence in agriculture. Researchers, scientists, and field experts will find invaluable insights to guide their exploration and contribution to this domain.
ISBN: 9789819758784
Standard No.: 10.1007/978-981-97-5878-4doiSubjects--Topical Terms:
671334
Computer Imaging, Vision, Pattern Recognition and Graphics.
LC Class. No.: S494.5.D3
Dewey Class. No.: 630.28563
Artificial intelligence techniques in smart agriculture
LDR
:03708nam a2200325 a 4500
001
1138093
003
DE-He213
005
20241019125742.0
006
m d
007
cr nn 008maaau
008
250117s2024 si s 0 eng d
020
$a
9789819758784
$q
(electronic bk.)
020
$a
9789819758777
$q
(paper)
024
7
$a
10.1007/978-981-97-5878-4
$2
doi
035
$a
978-981-97-5878-4
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
S494.5.D3
072
7
$a
TVB
$2
bicssc
072
7
$a
TEC003000
$2
bisacsh
072
7
$a
TVB
$2
thema
082
0 4
$a
630.28563
$2
23
090
$a
S494.5.D3
$b
A791 2024
245
0 0
$a
Artificial intelligence techniques in smart agriculture
$h
[electronic resource] /
$c
edited by Siddharth Singh Chouhan ... [et al.].
260
$a
Singapore :
$c
2024.
$b
Springer Nature Singapore :
$b
Imprint: Springer,
300
$a
xxii, 287 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
505
0
$a
Chapter 1. Assessing the importance and need of Artificial Intelligence for Precision Agriculture -- Chapter 2. Challenges in Achieving Artificial Intelligence in Agriculture -- Chapter 3. Introduction to Artificial Intelligence techniques in Agricultural applications and their future aspects -- Chapter 4. Agricultural Artificial Intelligence: Obstacles and Opportunities -- Chapter 5. Smart Farming Management System: Pre and Post Production Interventions -- Chapter 6. Introduction to various intelligent devices and implementation platforms -- Chapter 7. Fruit Counting and Analysis Using Artificial Intelligence Approaches -- Chapter 8. Deep Learning-Based Plant Stress Diagnosis: An Optimized Generative Augmentation Model Approach -- Chapter 9. Transformative Impact of AI-Driven Computer Vision in Agriculture -- Chapter 10. An in-depth analysis of artificial intelligence-based crop pest management and water supply regulation -- Chapter 11. AI for Data-Driven Decision Making in Smart Agriculture: From Field to Farm Management -- Chapter 12. AI based Regulation of Water supply and Pest Management in Farming -- Chapter 13. Advancement and Challenges of Implementing Artificial Intelligence of Things in Precision Agriculture -- Chapter 14. Enabling Digital Platforms: Towards Smart Agriculture -- Chapter 15. IoT and Drone-Based Field Monitoring and Surveillance System -- Chapter 16. IoT based Real Time Farm Management System for Smart Agriculture.
520
$a
This edited volume explores the integration of artificial intelligence to improve crop production. It addresses the critical need for intelligent crop management in light of the world's escalating population. Encompassing a spectrum of technologies, including computer vision, image processing, soft computing, machine learning, and deep learning, the book explores advancements in decision-making systems. It integrates data science methodologies, Internet of Things, wireless communications, and a range of sensors and actuators to provide precise, timely, and cost-effective solutions to agricultural challenges, ultimately enhancing both the quality and quantity of crop yields. The book empowers its audience to direct their efforts towards designing models and prototypes that benefit society and the environment, making it an indispensable resource for those eager to shape the future of intelligent agriculture. It serves as a comprehensive guide for students, scholars, and academicians keen on delving into the transformative field of artificial intelligence in agriculture. Researchers, scientists, and field experts will find invaluable insights to guide their exploration and contribution to this domain.
650
2 4
$a
Computer Imaging, Vision, Pattern Recognition and Graphics.
$3
671334
650
2 4
$a
Artificial Intelligence.
$3
646849
650
2 4
$a
Agricultural Biotechnology.
$3
1387795
650
1 4
$a
Agriculture.
$3
660421
650
0
$a
Artificial intelligence
$x
Agricultural applications.
$3
1236795
700
1
$a
Chouhan, Siddharth Singh.
$3
1461697
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-981-97-5878-4
950
$a
Biomedical and Life Sciences (SpringerNature-11642)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入