Analysis of Crop Yield Prediction Using Random Forest Regression Model-Reference-Cited by-同舟云学术

Analysis of Crop Yield Prediction Using Random Forest Regression Model

Published:2023 Issue: Volume: Page:239-249
ISSN:2190-3018
Container-title:Smart Innovation, Systems and Technologies
language:
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Author:

Prasath N.^ORCID,Sreemathy J.^ORCID,Krishnaraj N.^ORCID,Vigneshwaran P.^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-7447-2_22

Reference16 articles.

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3. Vagh, Y. Xiao, J.: Mining temperature profile data for shire-level crop yield prediction. In: 2012 International Conference on Machine Learning and Cybernetics, Xian, pp. 77–83 (2012). https://doi.org/10.1109/ICMLC.2012.6358890

4. Ananthara, M.G., Arunkumar, T., Hemavathy, R.: CRY—an improved crop yield prediction model using bee hive clustering approach for agricultural data sets. In: 2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering, Salem, pp. 473–478 (2013). https://doi.org/10.1109/ICPRIME.2013.6496717

5. Ramesh, D., Vishnu Vardhan, B.: Region specific crop yield analysis: a data mining approach. UACEE Int. J. Adv. Comput. Sci. Appl. IJCSIA 3(2) (2013)

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