Dataset Information

Predicting F _v /F _m and evaluating cotton drought tolerance using hyperspectral and 1D-CNN.

ABSTRACT: The chlorophyll fluorescence parameter F_v/F_m is significant in abiotic plant stress. Current acquisition methods must deal with the dark adaptation of plants, which cannot achieve rapid, real-time, and high-throughput measurements. However, increased inputs on different genotypes based on hyperspectral model recognition verified its capabilities of handling large and variable samples. F_v/F_m is a drought tolerance index reflecting the best drought tolerant cotton genotype. Therefore, F_v/F_m hyperspectral prediction of different cotton varieties, and drought tolerance evaluation, are worth exploring. In this study, 80 cotton varieties were studied. The hyperspectral cotton data were obtained during the flow

SUBMITTER: Guo C

PROVIDER: S-EPMC9623111 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Dataset Information

Predicting F _v /F _m and evaluating cotton drought tolerance using hyperspectral and 1D-CNN.

OmicsDI is part of the ELIXIR infrastructure

Tweets

Dataset Information

Predicting F v /F m and evaluating cotton drought tolerance using hyperspectral and 1D-CNN.

OmicsDI is part of the ELIXIR infrastructure

Tweets

Predicting F _v /F _m and evaluating cotton drought tolerance using hyperspectral and 1D-CNN.