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Recent Trends of Machine Learning Techniques on The Growth of Agricultural Sector of Assam

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Title Recent Trends of Machine Learning Techniques on The Growth of Agricultural Sector of Assam
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Creator Smrita Borthakur
Prof. R.K. Sahoo
Dr. Supahi Mahanta
Dr. Shashi Dahiya
 
Subject Machine Learning
Agriculture
Assam
Crop Yield
Soil Health
Economic growth
Rural development
 
Description Not Available
The agricultural sector in Assam, India, holds immense potential for economic growth and rural development. However, harnessing this potential requires tackling challenges like low productivity, resource scarcity, and climate change. Machine learning (ML) emerges as a promising tool to address these hurdles and transform Assam’s agricultural sector. This review investigates the potential of machine learning (ML) techniques in driving agricultural growth within the specific context of the Assam’s economy. Utilizing comprehensive search within Scopus and Web of Science databases from 2015 to 2023, and following the PRISMA guidelines, we analyzed 37 relevant articles. Our examination focuses on the multifaceted applications of ML across various agricultural domains in Assam, encompassing crop yield prediction, soil health analysis and economic growth. The review highlights successful ML- driven interventions in Assam’s agricultural sector, showcasing their ability to improve resource efficiency, optimize crop management, and enhance market access. This review provides valuable insights for policymakers, researchers, and farmers seeking to leverage the power of ML for a more sustainable and prosperous Assam’s agricultural landscape
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Date 2024-04-03T11:42:29Z
2024-04-03T11:42:29Z
2023-12-01
 
Type Research Paper
 
Identifier Borthakur, S., Sahoo, R.K., Mahanta, S., Dahiya, S. (2023). Recent Trends of Machine Learning Techniques on The Growth of Agricultural Sector of Assam. International Journal of Membrane Science and Technology, Vol. 10, No. 5, pp 760-768
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http://krishi.icar.gov.in/jspui/handle/123456789/81807
 
Language English
 
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