Agricultural informatics: automation using the IoT and machine learning /
"The emergence of automation in agriculture has become an important issue for every country. The world population is increasing at a very fast rate, and along with this increase in population the need for food is also increasing at a brisk pace. Traditional methods used by farmers are no longer...
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Corporate Authors: | |
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Group Author: | ; ; ; |
Published: |
Wiley-Scrivener,
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Publisher Address: | Hoboken, NJ : |
Publication Dates: | 2021. |
Literature type: | eBook |
Language: | English |
Series: |
Advances in learning analytics for intelligent cloud-IoT systems
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Subjects: | |
Online Access: |
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119769231 |
Summary: |
"The emergence of automation in agriculture has become an important issue for every country. The world population is increasing at a very fast rate, and along with this increase in population the need for food is also increasing at a brisk pace. Traditional methods used by farmers are no longer sufficient to serve this increasing demand, resulting in the intensified use of harmful pesticides. This in turn has had a profound effect on agricultural practices, which in the end can render the land barren. This book discusses the different automation practices, including the internet of things (IoT), wireless communications, machine learning, artificial intelligence, and deep learning, currently being employed to address this problem. There are some areas of concern in the field of agriculture, such as crop disease, lack of storage, weed and water management, pesticide control, and lack of irrigation, all of which can be solved using the different techniques mentioned above"-- |
Item Description: | Description based on print version record. |
Carrier Form: |
1 online resource (304 pages). Also available in print. |
Bibliography: | Includes bibliographical references and index. |
ISBN: |
9781119769231 (electronic bk.) 9781119768845 |
Index Number: | S494 |
CLC: | S126 |