Evidence map›Paper›PMID 38172880›Full record

ArticlePlant methods2024

RPIOSL: construction of the radiation transfer model for rice leaves.

Shuang Xiang, Zhongyu Jin, Jinpeng Li, Fenghua Yu, Tongyu Xu

Abstract read
In one paragraph

Article in Plant methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Shuang XiangCollege of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang, China.
Zhongyu JinCollege of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang, China.
Jinpeng LiCollege of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang, China.
Fenghua YuCollege of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang, China. adan@syau.edu.cn.
Tongyu XuCollege of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang, China. xutongyu@syau.edu.cn.

Funding

Applied Basic Research Program of Liaoning Province 101300120Applied Basic Research Program of Liaoning Province 2023JH2Liaoning Provincial Department of Education Project LJKMZ20221058National Natural Science Foundation of China 32201652
6 · The paper itself

Abstract

The radiative transfer model of vegetation leaves simulates the transmission mechanism of light inside the vegetation and simulates the reflectivity of blades according to the change law of different components in the process of plant growth. Based on the PIOSL model, this paper combines PIOSL with the structure of rice leaves to construct a radiation transfer model for rice leaves. The parameters of each layer of the RPIOSL model are determined by the Non-dominated Sorting Genetic Algorithm-III. (NSGA-III.) algorithm. The reflectance spectra of 218 rice leaf samples in different periods were simulated using the RPIOSL model. The results show that the mean (RMSE) between the simulated and measured spectra of the constructed RPIOSL model is 0.1074, which is 0.0191 lower than that of the PROSPECT model. Among them, the spectral simulation effect of RPIOSL model in yellow and red light band is the best, and the RMSE at tillering period, jointing period, heading period and grouting period are 0.0584, 0.0576, 0.0724 and 0.0820, respectively. Therefore, the establishment of the RPIOSL model can accurately describe the interaction mechanism between light, which is of great significance for the rapid acquisition of rice growth information and accurate crop management.

Indexed as

HyperspectralPIOSLRadiative transferReflectanceRice

Identifiers

PMID38172880
PMCPMC10763208

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