FARMING FRIEND: A MACHINE LEARNING-BASED APPROACH FOR SMART FARMING SOLUTIONS
Keywords:
Machine Learning, Smart Farming, Recommendation Algorithm, Crop Prediction, Precision Agriculture, Agricultural Decision Support, Random Forest, Neural NetworksAbstract
Agriculture remains the backbone of developing economies, yet farmers continue to facechallenges related to crop selection, resource optimization, and yield prediction. Traditional farming methods often rely on intuition
References
Desai, R. (2019) 'Weather-integrated agricultural advisory systems for Indian farmers', Journal of Agricultural Informatics, 10(2), pp. 45-62.
Gupta, A. and Malhotra, S. (2022) 'Market linkage platforms for smallholder farmers: A technology adoption perspective', Agricultural Economics Research Review, 35(1), pp. 78-94.
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Published
2023-08-15
How to Cite
Jayadeep More, Nirmala Shinde. (2023). FARMING FRIEND: A MACHINE LEARNING-BASED APPROACH FOR SMART FARMING SOLUTIONS . Journal of Computational Analysis and Applications (JoCAAA), 31(4), 2764–2779. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5227
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