Transfer learning for improving generalizability in predicting soybean maturity date using UAV imagery

These findings provide a reference for leveraging accumulated knowledge to generalize deep learning models for future practical utilization.

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Publication Details

Journal
Frontiers in Plant Science
Published
2026-01-29
DOI
https://doi.org/10.3389/fpls.2025.1720819
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00

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article

Transfer learning for improving generalizability in predicting soybean maturity date using UAV imagery

J. Zhou, Ziteng Xu, Zhou Zhang
Frontiers in Plant Science
Remote Sensing in Agriculture
article

Transfer learning for improving generalizability in predicting soybean maturity date using UAV imagery

J. Zhou, Ziteng Xu, Zhou Zhang
article en

Abstract

These findings provide a reference for leveraging accumulated knowledge to generalize deep learning models for future practical utilization.

Frontiers in Plant ScienceVol. 16
University of Wisconsin System (US), Oregon State University (US), University of Wisconsin–Madison (US), Plant (United States) (US), University of Missouri (US), Texas A&M University (US)
University of Missouri
Zero hunger
Openalex Percentile: Top 78%
Remote Sensing in Agriculture
DOIOpen Access PDFOpenAlex
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