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Smart agricultural services using de...

Goyal, Dinesh, (1976-)

Smart agricultural services using deep learning, big data, and IoT

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Smart agricultural services using deep learning, big data, and IoTAmit Kumar Gupta, Dinesh Goyal, Vijendra Singh, and Harish Sharma, editors.
其他作者:	Gupta, Amit Kumar,
出版者:	Hershey, Pennsylvania :IGI Global,2021
面頁冊數:	1 online resource (xxvii, 280 p.)
標題:	Agricultural informatics.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-5003-8
ISBN:	9781799850045 (ebk.)

Smart agricultural services using deep learning, big data, and IoT
Smart agricultural services using deep learning, big data, and IoT[electronic resource] /Amit Kumar Gupta, Dinesh Goyal, Vijendra Singh, and Harish Sharma, editors. - Hershey, Pennsylvania :IGI Global,2021 - 1 online resource (xxvii, 280 p.)

Includes bibliographical references and index.

Chapter 1. A neural network-based approach for pest detection and control in modern agriculture using Internet of things -- Chapter 2. Automated fruit grading system using image fusion -- Chapter 3. Fog computing as solution for IoT-based agricultural applications -- Chapter 4. Green cloud -- Chapter 5. Internet of things: a conceptual visualisation -- Chapter 6. Internet of things and the role of wireless sensor networks in IoT -- Chapter 7. IoT-based agri-safety model: mechanised agricultural fencing -- Chapter 8. Plant diseases concept in smart agriculture using deep learning -- Chapter 9. Smart agriculture and farming services using IoT -- Chapter 10. Smart agriculture services using deep learning, big data, and IoT (Internet of things) -- Chapter 11. An analysis of big data analytics -- Chapter 12. Towards intelligent agriculture using smart IoT sensors.

Restricted to subscribers or individual electronic text purchasers.

"This book explores the application of deep learning, big data, IoT in agricultural services"--

ISBN: 9781799850045 (ebk.)Subjects--Topical Terms:

529927
Agricultural informatics.

LC Class. No.: S494.5.D3 / S63 2021e

Dewey Class. No.: 630.2085

Smart agricultural services using deep learning, big data, and IoT
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245 0 0 $a Smart agricultural services using deep learning, big data, and IoT $h [electronic resource] / $c Amit Kumar Gupta, Dinesh Goyal, Vijendra Singh, and Harish Sharma, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2021
300 $a 1 online resource (xxvii, 280 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. A neural network-based approach for pest detection and control in modern agriculture using Internet of things -- Chapter 2. Automated fruit grading system using image fusion -- Chapter 3. Fog computing as solution for IoT-based agricultural applications -- Chapter 4. Green cloud -- Chapter 5. Internet of things: a conceptual visualisation -- Chapter 6. Internet of things and the role of wireless sensor networks in IoT -- Chapter 7. IoT-based agri-safety model: mechanised agricultural fencing -- Chapter 8. Plant diseases concept in smart agriculture using deep learning -- Chapter 9. Smart agriculture and farming services using IoT -- Chapter 10. Smart agriculture services using deep learning, big data, and IoT (Internet of things) -- Chapter 11. An analysis of big data analytics -- Chapter 12. Towards intelligent agriculture using smart IoT sensors.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book explores the application of deep learning, big data, IoT in agricultural services"-- $c Provided by publisher.
650 0 $a Agricultural informatics. $3 529927
650 0 $a Artificial intelligence $x Agricultural applications. $3 803531
650 0 $a Internet of things. $3 670954
650 0 $a Machine learning. $3 188639
650 0 $a Big data. $3 609582
700 1 $a Gupta, Amit Kumar, $d 1981- $e editor. $3 875060
700 1 $a Goyal, Dinesh, $d 1976- $e editor. $3 875061
700 1 $a Singh, Vijendra, $e editor. $3 875062
700 1 $a Sharma, Harish, $e editor. $3 875063
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-5003-8