Artificial Intelligence for Sustainable Agricultural Practices

In the past decades, farming has seen many transformational changes. Technological changes in agriculture have helped to gain control of farming practices such as livestock and crop management with the help of agriculture gadgets. Artificial intelligence-based techniques are being used in agricultur...

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Published inHandbook of Artificial Intelligence Applications for Industrial Sustainability Vol. 1; pp. 203 - 216
Main Authors Chaudhary, Sangeeta, Dahiya, Preeti, Dawar, Prerna, Geeta, Annu Dahiya
Format Book Chapter
LanguageEnglish
Published United States CRC Press 2023
Taylor & Francis Group
Edition1
Subjects
Agriculture
Self-Automation
Sustainable
Artificial Intelligence
Farming
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Abstract In the past decades, farming has seen many transformational changes. Technological changes in agriculture have helped to gain control of farming practices such as livestock and crop management with the help of agriculture gadgets. Artificial intelligence-based techniques are being used in agriculture to achieve significant progress in farming. Self-automated agriculture systems have been developed for crop management. The present chapter explores the acceptance of farmers toward the implementation of artificial intelligence in agriculture. Therefore, the technology acceptance model is used to analyze the perception of farmers regarding this. The findings of this chapter suggest that artificial intelligence-based techniques have better control over agriculture processes, thus leading to lower production risks.
AbstractList In the past decades, farming has seen many transformational changes. Technological changes in agriculture have helped to gain control of farming practices such as livestock and crop management with the help of agriculture gadgets. Artificial intelligence-based techniques are being used in agriculture to achieve significant progress in farming. Self-automated agriculture systems have been developed for crop management. The present chapter explores the acceptance of farmers toward the implementation of artificial intelligence in agriculture. Therefore, the technology acceptance model is used to analyze the perception of farmers regarding this. The findings of this chapter suggest that artificial intelligence-based techniques have better control over agriculture processes, thus leading to lower production risks.
Author Dahiya, Preeti
Geeta, Annu Dahiya
Chaudhary, Sangeeta
Dawar, Prerna
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  fullname: Geeta, Annu Dahiya
  organization: University Panipat, India
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Keywords Agriculture
Self-Automation
Sustainable
Artificial Intelligence
Farming
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