A Model for Predicting the Degree of Rice Bacterial Blight
Please upload the UAV remote sensing data(.csv) to start analysis. A csv file containing Predicted degree of rice bacterial wilt disease will be returned after few minutes.
NOTE
1. You need to provide a multispectral data matrix, which can be extracted from the raw spectral files generated by the unmanned aerial vehicle. Click here to download the sample file.
2. Disease severity was quantified into 6 grades (as shown in Fig. 1D) according to the national standard GB/T 17980.19-2000 (http://std.samr.gov.cn/)
3. Articles: Bai Xiulin Fang Hui He Yong Zhang Jinnuo Tao Mingzhu Wu Qingguan Yang Guofeng Wei Yuzhen Tang Yu Tang Lie et al. . Dynamic UAV Phenotyping for Rice Disease Resistance Analysis Based on Multisource Data. Plant Phenomics. 2023:5;0019. DOI:10.34133/plantphenomics.0019
Geographical locations and related field data of study sites
Location of the experimental sites 1 and 2
The daily temperatures at sites 1 and 2, respectively
Digital images of rice germplasm resources with different resistance to BB and quantifying the disease severity