FarmSage: AI-Driven Solutions for Agriculture with Focus on Terrace Farming
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1313-4_37
Reference10 articles.
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4. Van Klompenburg T, Kassahun A, Catal C (2020) Crop yield prediction using machine learning: a systematic literature review. Comput Electr Agricult 177:105709
5. Jeevaganesh R, Harish D, Priya B (2022) A machine learning-based approach for crop yield prediction and fertilizer recommendation. In: Proceedings of the 2022 6th international conference on trends in electronics and informatics (ICOEI). IEEE
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