Monitoring and inversion of wheat scab based on UAV multi-spectral remote sensing

Wenjing Zhu; Zhankang Feng; Xinhua Wei; Shiyuan Dai; Zhentao Wang; Yuxin Cao; Honglong Yang; Han Lu

doi:10.1117/12.2641029

2 December 2022 Monitoring and inversion of wheat scab based on UAV multi-spectral remote sensing

Wenjing Zhu, Zhankang Feng, Xinhua Wei, Shiyuan Dai, Zhentao Wang, Yuxin Cao, Honglong Yang, Han Lu

Proceedings Volume 12288, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022); 1228810 (2022) https://doi.org/10.1117/12.2641029
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022), 2022, Zhuhai, China

Abstract

In this study, wheat at the filling stage of Hongzehu farm in Sihong County was used as the research object, and the wheat was monitored for head blight through an UAV equipped with a multi-spectral camera. The correlation analysis between 17 commonly used spectral vegetation indexes and wheat head blight disease index (DI) was carried out, and the 3 vegetation indexes with the highest correlation were obtained: normalize difference vegetation index (NDVI), structure insensitive pigment index (SIPI), triangle vegetation index (TVI), the wheat head blight monitoring model based on vegetation index was constructed and model evaluation was carried out. The results showed that the correlation between NDVI and DI value was the highest, and the coefficient of determination (R2 ) reached 0.8516. The stepwise regression equation model constructed with the three most correlated indexes as variables performed best. The coefficient of determination of model testing was 0.8787, and the root mean squared error (RMSE) was 4.1%. The comprehensive analysis shows that UAV multi-spectral remote sensing combined with the measured value of canopy wheat scab DI can realize the real-time monitoring of wheat scab in the field.

Citation Download Citation

Wenjing Zhu, Zhankang Feng, Xinhua Wei, Shiyuan Dai, Zhentao Wang, Yuxin Cao, Honglong Yang, and Han Lu "Monitoring and inversion of wheat scab based on UAV multi-spectral remote sensing", Proc. SPIE 12288, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022), 1228810 (2 December 2022); https://doi.org/10.1117/12.2641029

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KEYWORDS

Vegetation

Unmanned aerial vehicles

Remote sensing

Data modeling

Head

Agriculture

Cameras

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