Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data

🏆 Top 10📊 OpenAlex

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Most Cited Paper

in Potato Plant Research

18 Months Post-Publication

Class of 2026

“Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data”

AuthorsYang Liu et al.

Haikuan Feng

JournalComputers and Electronics in Agriculture

China Agricultural University

Citations53

DOI10.1016/j.compag.2024.108808

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Topics

potato AGB estimation · phenological stage impacts · depth features · hyperspectral data · above-ground biomass · spectral depth analysis · crop growth monitoring · remote sensing · vegetation indices · temporal variability mitigation

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Pepkio Research Index (PRI). Topics and Trends in Most Cited Potato Plant Research Papers, Class of 2026. https://pri.pepkio.com/top-papers/potato-plant-research/2026. Accessed 2026-10-24.

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