Internet of Things and Machine Learning in Agriculture : Technological Impacts and Challenges / ed. by Vishal Jain, Jyotir Moy Chatterjee, Abhishek Kumar, Pramod Singh Rathore.
Contributor(s): Chatterjee, Jyotir Moy [editor.] | Jain, Vishal [editor.] | Kumar, Abhishek [editor.] | Rathore, Pramod Singh [editor.].
Material type: BookSeries: De Gruyter Frontiers in Computational Intelligence , 8.Publisher: Berlin ; Boston : De Gruyter, [2021]Copyright date: 2021Description: 1 online resource (XVI, 408 p.).Content type: text Media type: computer Carrier type: online resourceISBN: 9783110691276.Subject(s): Agrarwissenschaften | Big Data | Internet der Dinge | Künstliche Intelligenz | Maschinelles Lernen | Umweltwissenschaften | COMPUTERS / Information TechnologyAdditional physical formats: No title; No titleOnline resources: Click here to access online | Click here to access online | Cover Issued also in print.Summary: 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.restricted access online access with authorization star
http://purl.org/coar/access_right/c_16ec
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.
Issued also in print.
Mode of access: Internet via World Wide Web.
In English.
Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Jan 2024)
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