Rice yield prediction through integration of biophysical parameters with SAR and optical remote sensing data using machine learning models

Research article (Scientific Reports, 2024) · cited 22× · AI/ML
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Rice yield prediction through integration of biophysical parameters with SAR and optical remote sensing data using machine learning models

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Rice yield prediction through integration of biophysical parameters with SAR and optical remote sensing data using machine learning models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Rice yield prediction through integration of biophysical parameters with SAR and optical remote sensing data using machine learning models. Retrieved May 24, 2026, from https://4ort.xyz/entity/rice-yield-prediction-through-integration-of-biophysical-parameters-with-sar-and-optical-remote-sensing-data-using-machi
MLA “Rice yield prediction through integration of biophysical parameters with SAR and optical remote sensing data using machine learning models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rice-yield-prediction-through-integration-of-biophysical-parameters-with-sar-and-optical-remote-sensing-data-using-machi.
BibTeX @misc{4ortxyz_rice-yield-prediction-through-integration-of-biophysical-parameters-with-sar-and-optical-remote-sensing-data-using-machi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Rice yield prediction through integration of biophysical parameters with SAR and optical remote sensing data using machine learning models}}, year = {2026}, url = {https://4ort.xyz/entity/rice-yield-prediction-through-integration-of-biophysical-parameters-with-sar-and-optical-remote-sensing-data-using-machi}, note = {Accessed: 2026-05-24}}
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