Estimation of Potato Growth Parameters Under Limited Field Data Availability by Integrating Few-Shot Learning and Multi-Task Learning

Estimation of Potato Growth Parameters Under Limited Field Data Availability by Integrating Few-Shot Learning and Multi-Task Learning

Leaf chlorophyll content (LCC), leaf area index (LAI), and above-ground biomass (AGB) are important growth parameters for characterizing potato growth and predicting yield. While deep learning has demonstrated remarkable advancements in estimating crop growth parameters, the limited availability of...

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Bibliographic Details
Main Authors:	Sen Yang, Quan Feng, Faxu Guo, Wenwei Zhou
Format:	Article
Language:	English
Published:	MDPI AG 2025-07-01
Series:	Agriculture
Subjects:	potato growth parameter prediction multi-task learning few-shot learning
Online Access:	https://www.mdpi.com/2077-0472/15/15/1638
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