Continuous Wavelet Transform and Back Propagation Neural Network for Condition Monitoring Chlorophyll Fluorescence Parameters Fv/Fm of Rice Leaves

Abstract

The chlorophyll fluorescence parameter Fv/Fm (maximum photosynthetic efficiency of optical system II) is an intrinsic index for exploring plant photosynthesis. Hyperspectral remote sensing technology can be used for rapid nondestructive detection of chlorophyll fluorescence parameters. Existing studies show that there is a good correlation between the vegetation index and Fv/Fm. However, due to the limited hyperspectral information reflected by the vegetation index, the established model often cannot reach the ideal accuracy. Therefore, this study took rice as the research object and explored the internal relationship between chlorophyll fluorescence parameters and spectral reflectance by setting different fertilization treatments. Spectral sensitive information was extracted by vegetation index and continuous wavelet transform (CWT) to explore a more suitable method for Fv/Fm hyperspectral estimation at the rice leaf scale. Then a monitoring model of Fv/Fm in rice leaves was established by the back propagation neural network (BPNN) algorithm. The results showed that: (1) the accuracy of univariate models constructed by Fv/Fm inversion based on 10 commonly used vegetation indices constructed by traditional methods was low; (2) The correlation between leaf hyperspectral reflectance and Fv/Fm could be effectively improved by using CWT, and the accuracy of the univariate model constructed by using the best wavelet coefficients could reach the level of rough evaluation of Fv/Fm; (3) The effect of wavelet transform using different mother wavelet functions as the basis function was different, and bior3.3 function was the best; R2, RMSE and RPD of the BPNN model constructed by using the first 10 best wavelet coefficients decomposed by the bior3.3 was 0.823 6, 0.013 2 and 2.304 3. In conclusion, this study proves that CWT can effectively extract sensitive bands of rice leaves for Fv/Fm monitoring, providing a reference for the follow-up rapid and nondestructive monitoring of chlorophyll fluorescence.

Assessment of Biostimulant Derived from Moringa Leaf Extract on Growth, Physiology, Yield, and Quality of Green Chili Pepper

“…Similar results were found in safflower [40], squash [11], and radish baby leaves [3]. Fv/Fm reflects the maximum photosynthetic efficiency of optical system II and is commonly used as an indicator of photosynthetic performance [41]. MLE induces more leaf photosynthetic pigment synthesis as a result of its high content of phytohormone and mineral nutrients, which leads to improved chlorophyll fluorescence and photosynthesis [11].…”

Mechanism of rapid adaptive responses of macrophytes Vallisneria denseserrulata (Makino) to varying visible light transmittance: A mesocosm study

“…Fv /Fm represents the maximum quantum yield of PSII, indicating the potential photochemical activity of PSII (Benkov et al, 2019;Ospina Calvo and Lagorio 2019), which is of great significance in the study of plant physiological changes and stress (Chen et al, 2022;Wen et al, 2022). In this experiment, the change in transmittance also significantly affected Fv /Fm .…”

The Effects of Biochar-Based Organic Fertilizer and Mineral Fertilizer on Soil Quality, Beet Yield, and Sugar Yield

“…This index reflects the ability of the plant to absorb light energy [55]. Chlorophyll (Chl) is an important photosynthetic pigment in plants, which determines the photosynthetic capacity of crops [56]. When plants are photosynthesizing, RuBP carboxylase is a key enzyme that can reflect the photosynthetic capacity of plants [57].…”