Internet of Things and Machine Learning in Agriculture : (Record no. 84481)

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fixed length control field 03572nam a22007575i 4500
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control field 9783110691276
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730161614.0
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783110691276
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title
245 00 - TITLE STATEMENT
Title Internet of Things and Machine Learning in Agriculture :
Sub Title Technological Impacts and Challenges /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (XVI, 408 p.)
490 0# - SERIES STATEMENT
Series statement De Gruyter Frontiers in Computational Intelligence ,
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Summary, etc Agriculture is one of the most fundamental human activities. As the farming capacity has expanded, the usage of resources such as land, fertilizer, and water has grown exponentially, and environmental pressures from modern farming techniques have stressed natural landscapes. Still, by some estimates, worldwide food production needs to increase to keep up with global food demand. Machine Learning and the Internet of Things can play a promising role in the Agricultural industry, and help to increase food production while respecting the environment. This book explains how these technologies can be applied, offering many case studies developed in the research world.
700 1# - AUTHOR 2
Author 2 Chatterjee, Jyotir Moy,
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Author 2 Jain, Vishal,
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Author 2 Kumar, Abhishek,
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Author 2 Rathore, Pramod Singh,
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1515/9783110691276?locatt=mode:legacy
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.degruyter.com/isbn/9783110691276
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.degruyter.com/document/cover/isbn/9783110691276/original
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-- Berlin ;
-- Boston :
-- De Gruyter,
-- [2021]
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-- 2021
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-- Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Jan 2024)
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-- Agrarwissenschaften.
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-- Big Data.
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-- Internet der Dinge.
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-- Künstliche Intelligenz.
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-- Maschinelles Lernen.
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-- Umweltwissenschaften.
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-- COMPUTERS / Information Technology.
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