Monitoring of Powdery Mildew in Winter Wheat Based on HJ Satellite

doi:10.11924/j.issn.1000-6850.casb2022-0738

Abstract

Abstract:

The disease index (DI) survey of powdery mildew for winter wheat at flowering stage was carried out in different regions. Canopy spectral measurement and field sampling were conducted simultaneously during this process. Three factors that played an important role in wheat growth were selected, namely leaf chlorophyll content, leaf water content and air temperature. These factors were statistically analyzed with DI to build a prediction model of wheat powdery mildew and obtained a thematic map. The results showed that there was a certain correlation between the three factors and DI. Leaf chlorophyll content and leaf water content were negatively correlated with DI with correlation coefficients of 0.6316 and 0.633 respectively, and leaf area index (LAI) and air temperature were positively correlated with DI with correlation coefficients of 0.6372 and 0.561 respectively. The change of wheat powdery mildew disease index can be obtained through changes of leaf chlorophyll content, leaf water content, air temperature and LAI (converted by NDVI), which proves that it is feasible to monitor the disease index based on remote sensing technology, and the constructed model can better retrieve the disease index of wheat powdery mildew. On this basis, this study drew the thematic map of wheat powdery mildew disease index monitored by remote sensing technology.

Key words: winter wheat, powdery mildew, spectrum, monitoring, disease index

ZHUANG Dongying, YIN Ming, GENG Anhong, LI Weiguo, CUI Bibo. Monitoring of Powdery Mildew in Winter Wheat Based on HJ Satellite[J]. Chinese Agricultural Science Bulletin, 2023, 39(28): 137-141.

Figures/Tables 6

References 25

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类别	均值	最小值	最大值	标准差
病害叶片	32.62	28.1	37.3	2.83
健康叶片	37.26	33.2	39.7	1.62

类别	均值	最小值	最大值	标准差
病害叶片	32.62	28.1	37.3	2.83
健康叶片	37.26	33.2	39.7	1.62