A neural meta model for predicting winter wheat crop yield
Author:
Funder
UCD Foundation
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10994-023-06455-1.pdf
Reference27 articles.
1. Bali, N., & Singla, A. (2021). Deep learning based wheat crop yield prediction model in punjab region of north india. Applied Artificial Intelligence, 35(15), 1304–1328.
2. Bali, N., & Singla, A. (2022). Emerging trends in machine learning to predict crop yield and study its influential factors: A survey. Archives of Computational Methods in Engineering, 29(1), 95–112.
3. Bansal, Y., Lillis, D., & Kechadi, M.-T. (2023) A deep learning model for heterogeneous dataset analysis - application to winter wheat crop yield prediction. In J. Abawajy, J. Tavares, L. Kharb, D. Chahal, & A. B. Nassif (Eds.), Information, communication and computing technology (pp. 182–194). Springer Nature Switzerland.
4. Bansal, Y., Lillis, D., Kechadi, & Tahar, M. (2022). Winter wheat crop yield prediction on multiple heterogeneous datasets using machine learning. In 2022 international conference on computational science and computational intelligence (CSCI) (pp. 206–212). https://doi.org/10.1109/CSCI58124.2022.00040
5. Chandrashekar, G., & Sahin, F. (2014). A survey on feature selection methods. Computers & Electrical Engineering, 40(1), 16–28.
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3. Correction to: A neural meta-model for predicting winter wheat crop yield;Machine Learning;2024-03-15
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