首页|期刊导航|农业科学学报（英文）|Impact of hyperspectral reconstruction techniques on the quantitative inversion of rice physiological parameters:A case study using the MST++model

Impact of hyperspectral reconstruction techniques on the quantitative inversion of rice physiological parameters:A case study using the MST++model

Weiguang Yang Bin Zhang Weicheng Xu Shiyuan Liu Yubin Lan Lei Zhang

农业科学学报（英文）2025，Vol.24Issue(7)：2540-2557,18.

农业科学学报（英文）2025，Vol.24Issue(7)：2540-2557,18.DOI:10.1016/j.jia.2024.03.082

Impact of hyperspectral reconstruction techniques on the quantitative inversion of rice physiological parameters:A case study using the MST++model

Weiguang Yang ¹Bin Zhang ²Weicheng Xu ²Shiyuan Liu ³Yubin Lan ¹Lei Zhang³

作者信息

1. College of Electronic Engineering(College of Artificial Intelligence),South China Agricultural University,Guangzhou 510642,China||Guangdong Laboratory for Lingnan Modern Agriculture,Guangzhou 510642,China||National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology,Guangzhou 510642,China
2. Guangdong Key Laboratory of New Technology for Rice Breeding/Rice Research Institute,Guangdong Academy of Agricultural Sciences,Guangzhou 510640,China
3. College of Agriculture,South China Agricultural University,Guangzhou 510642,China||Guangdong Laboratory for Lingnan Modern Agriculture,Guangzhou 510642,China||National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology,Guangzhou 510642,China
折叠

摘要

关键词

multistage spectral-wise transformer/hyperspectral reconstruction/rice/dry matter content/height

Key words

multistage spectral-wise transformer/hyperspectral reconstruction/rice/dry matter content/height

引用本文复制引用

Weiguang Yang,Bin Zhang,Weicheng Xu,Shiyuan Liu,Yubin Lan,Lei Zhang..Impact of hyperspectral reconstruction techniques on the quantitative inversion of rice physiological parameters:A case study using the MST++model[J].农业科学学报（英文）,2025,24(7):2540-2557,18.

基金项目

This work was supported by the China Agriculture Research System(CARS-15-22),the Laboratory of Lingnan Modern Agriculture Project,China(NT2021009),the Key-Area Research and Development Program of Guangdong Province,China(2019B020214003),the Guangdong Technical System of Peanut and Soybean Industry,China(2019KJ136-05),and the 111 Project,China(D18019). （CARS-15-22）

农业科学学报（英文）

ISSN：2095-3119

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