Crop Prediction Using Machine Learning with CRISP-DM Approach-Reference-Cited by-同舟云学术

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Crop Prediction Using Machine Learning with CRISP-DM Approach

Published:2023 Issue: Volume: Page:399-421
ISSN:2367-3370
Container-title:Proceedings of Data Analytics and Management
language:
Short-container-title:

Author:

Rahmadi Lendy,Hadiyanto ,Sanjaya Ridwan,Prambayun Arif

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-6550-2_31

Reference29 articles.

1. Rebala G, Ravi A, Churiwala S (2019) An introduction to machine learning. Springer

2. McQueen RJ, Garner SR, Nevill-Manning CG, Witten IH (1995) Applying machine learning to agricultural data. Comput Electron Agric 12(4):275–293

3. Liakos KG, Busato P, Moshou D, Pearson S, Bochtis DD (2018) Machine learning in agriculture: a review. Sensors 18

4. van Klompenburg T, Kassahun A, Catal C (2020) Crop yield prediction using machine learning: a systematic literature review. Comput Electron Agric 177:105709. https://doi.org/10.1016/j.compag.2020.105709

5. Jalandoni A, Zhang Y, Zaidi NA (2022) On the use of machine learning methods in rock art research with application to automatic painted rock art identification. J Archaeol Sci 144. https://doi.org/10.1016/j.jas.2022.105629

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