Crop Prediction Based on Environment Variables using Data Mining Technologies
DOI: https://doi.org/10.4038/jas.v20i2.9901 | Journal eISSN: 2386-1363
Language: English
Page range: 280 - 292
Published on: May 1, 2025
Published by: The Faculty of Agricultural Sciences of the Sabaragamuwa University of Sri Lanka
In partnership with: Paradigm Publishing Services
Keywords:
© 2025 K. T. Dananjali, J. B. Ekanayake, B. T. G. S. Kumara, A. S. Karunarathne, published by The Faculty of Agricultural Sciences of the Sabaragamuwa University of Sri Lanka
This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License.