A Hybrid Model for Soybean Yield Prediction Integrating Convolutional Neural Networks, Recurrent Neural Networks, and Graph Convolutional Networks
- DOI
- 10.3390/computation13010004
- Published
- 2024-12-27
- Container
- Computation
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/computation13010004,
title = {A Hybrid Model for Soybean Yield Prediction Integrating Convolutional Neural Networks, Recurrent Neural Networks, and Graph Convolutional Networks},
author = {Vikram S. Ingole and Ujwala A. Kshirsagar and Vikash Singh and Manish Varun Yadav and Bipin Krishna and Roshan Kumar},
year = {2024},
journal = {Computation},
doi = {10.3390/computation13010004},
url = {https://doi.org/10.3390/computation13010004}
}RIS
TY - JOUR TI - A Hybrid Model for Soybean Yield Prediction Integrating Convolutional Neural Networks, Recurrent Neural Networks, and Graph Convolutional Networks AU - Vikram S. Ingole AU - Ujwala A. Kshirsagar AU - Vikash Singh AU - Manish Varun Yadav AU - Bipin Krishna AU - Roshan Kumar PY - 2024 JO - Computation DO - 10.3390/computation13010004 UR - https://doi.org/10.3390/computation13010004 ER -
APA
Ingole, V. S., Kshirsagar, U. A., Singh, V., Yadav, M. V., Krishna, B., & Kumar, R. (2024). A Hybrid Model for Soybean Yield Prediction Integrating Convolutional Neural Networks, Recurrent Neural Networks, and Graph Convolutional Networks. Computation. https://doi.org/10.3390/computation13010004
Source records
- crossref · retrieved 2026-09-25T01:35:02.616Z