Paper Title
Artificial Intelligence Revolutionising Indian Agriculture: An Empirical Analysis
Article Identifiers
Authors
CHETAN JAYANT , Shiv Prakash Panwar
Keywords
Artificial Intelligence, Precision agriculture, Total Factor productivity, Paired t-test.
Abstract
In a time when land fertility is declining due to climate change, excessive use of fertilizer and water & unscientific agriculture practices with burgeoning population needs surpassing the available agricultural produce, resorting to modern technologies in agriculture can become a panacea for Indian agriculture problems. This paper mainly deals with applications of AI in Indian Agriculture, Its Adoptions, and Challenges with the empirical study of the Saagu-Baagu project
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How To Cite (APA)
CHETAN JAYANT & Shiv Prakash Panwar (January-2024). Artificial Intelligence Revolutionising Indian Agriculture: An Empirical Analysis. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(1), c424-c428. https://ijnrd.org/papers/IJNRD2401256.pdf
Issue
Volume 9 Issue 1, January-2024
Pages : c424-c428
Other Publication Details
Paper Reg. ID: IJNRD_207619
Published Paper Id: IJNRD2401256
Downloads: 000121985
Research Area: Arts
Country: Ujjain, Madhya Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2401256.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2401256
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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