Applications of Artificial Intelligence and Machine Learning in Enhancing Agricultural Productivity and Sustainability

Artificial Intelligence and Machine learning are increasingly applied in agriculture in order to address global food challenges, minimize resource clauses, and provide sustainability. Here the application of AI/ML in agriculture is described with their application in prediction of the yield of crops, identification of disease as well as pest, The application of precision, agriculture, as well as sustainable use of resources.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-19
DOI
https://doi.org/10.5281/zenodo.17984139
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

Applications of Artificial Intelligence and Machine Learning in Enhancing Agricultural Productivity and Sustainability

Vinayak Arun Naik, Sameeksha Uday Naik
Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

Applications of Artificial Intelligence and Machine Learning in Enhancing Agricultural Productivity and Sustainability

Vinayak Arun Naik, Sameeksha Uday Naik
article en

Abstract

Artificial Intelligence and Machine learning are increasingly applied in agriculture in order to address global food challenges, minimize resource clauses, and provide sustainability. Here the application of AI/ML in agriculture is described with their application in prediction of the yield of crops, identification of disease as well as pest, The application of precision, agriculture, as well as sustainable use of resources.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 25%
Smart Agriculture and AI
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Applications of Artificial Intelligence and Machine Learning in Enhancing Agricultural Productivity and Sustainability — Vinayak Arun Naik, Sameeksha Uday Naik · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS