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Artificial intelligence in agriculture /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Artificial intelligence in agriculture // Rajesh Singh ... [et al.].
其他作者:	Singh, Rajesh.
出版者:	Boca Raton :CRC Press ; : c2022.,
面頁冊數:	176 p. :ill., ports. ; : 24 cm.;
標題:	Internet of things. -
ISBN:	1032158107

Artificial intelligence in agriculture /
Artificial intelligence in agriculture /Rajesh Singh ... [et al.]. - Boca Raton :CRC Press ;c2022. - 176 p. :ill., ports. ;24 cm.

Includes bibliographical references (p. 166-167).

1. Artificial intelligence -- 2. Learning Python for artificial intelligence -- 3. Machine learning -- 4. Deep learning -- 5. Computer vision -- 6. Knowledge based expert system -- 7. Tools for artificial intelligence -- 8. Important libraries for AI -- 9. Machine learning algorithms -- 10. Disease classification and detection in plants -- 11. Species recognition in flowers -- 12. Precision farming.

"This book is a platform for anyone who wishes to explore Artificial Intelligence in the field of agriculture from scratch or broaden their understanding and its uses. This book offers a practical, hands-on exploration of Artificial Intelligence, machine learning, deep Learning, computer vision and Expert system with proper examples to understand. This book also covers the basics of python with example so that any anyone can easily understand and utilize artificial intelligence in agriculture field. This book is divided into two parts wherein first part talks about the artificial intelligence and its impact in the agriculture with all its branches and their basics. The second part of the book is purely implementation of algorithms and use of different libraries of machine learning, deep learning and computer vision to build useful and sightful projects in real time which can be very useful for you to have better understanding of artificial intelligence. After reading this book, the reader will an understanding of what Artificial Intelligence is, where it is applicable, and what are its different branches, which can be useful in different scenarios. The reader will be familiar with the standard workflow for approaching and solving machine-learning problems, and how to address commonly encountered issues. The reader will be able to use Artificial Intelligence to tackle real-world problems ranging from crop health prediction to field surveillance analytics, classification to recognition of species of plants etc."--Publisher.

ISBN: 1032158107

Nat. Bib. No.: GBC1G1292bnbSubjects--Topical Terms:

1023130
Internet of things.

LC Class. No.: S494.5.D3 / S56 2022

Dewey Class. No.: 338.10285

Artificial intelligence in agriculture /
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300 $a 176 p. : $b ill., ports. ; $c 24 cm.
504 $a Includes bibliographical references (p. 166-167).
505 0 # $a 1. Artificial intelligence -- 2. Learning Python for artificial intelligence -- 3. Machine learning -- 4. Deep learning -- 5. Computer vision -- 6. Knowledge based expert system -- 7. Tools for artificial intelligence -- 8. Important libraries for AI -- 9. Machine learning algorithms -- 10. Disease classification and detection in plants -- 11. Species recognition in flowers -- 12. Precision farming.
520 # $a "This book is a platform for anyone who wishes to explore Artificial Intelligence in the field of agriculture from scratch or broaden their understanding and its uses. This book offers a practical, hands-on exploration of Artificial Intelligence, machine learning, deep Learning, computer vision and Expert system with proper examples to understand. This book also covers the basics of python with example so that any anyone can easily understand and utilize artificial intelligence in agriculture field. This book is divided into two parts wherein first part talks about the artificial intelligence and its impact in the agriculture with all its branches and their basics. The second part of the book is purely implementation of algorithms and use of different libraries of machine learning, deep learning and computer vision to build useful and sightful projects in real time which can be very useful for you to have better understanding of artificial intelligence. After reading this book, the reader will an understanding of what Artificial Intelligence is, where it is applicable, and what are its different branches, which can be useful in different scenarios. The reader will be familiar with the standard workflow for approaching and solving machine-learning problems, and how to address commonly encountered issues. The reader will be able to use Artificial Intelligence to tackle real-world problems ranging from crop health prediction to field surveillance analytics, classification to recognition of species of plants etc."--Publisher.
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700 1 # $a Singh, Rajesh. $3 1168052