Spectroscopy and Spectral Analysis, Volume. 42, Issue 5, 1426(2022)
Prediction of the Degree of Late Blight Disease Based on Optical Fiber Spectral Information of Potato Leaves
To detect and prevent potato late disease, the peroxidase (POD) activity of potato late-blight leaves was predicted by spectroscopic techniques, and the prediction of potato late-blight disease was realized based on POD enzyme activity. The spectral reflectivity and POD enzyme activity of potato leaf samples in different temperature, humidity and inoculation time conditions were collected and measured. And the Mean Centering method is ultimately chosen, which is used to eliminate the error of the original spectral data. In order to reduce the complexity of the model, RF, SPA and CARS algorithms were used to filter the wavelengths, and the results showed that the partial least-square regression (PLSR) prediction model was established by using the spectral data at 72 characteristic wavelengths which are extracted by the CARS algorithm was the best. The coefficient of determination
Get Citation
Copy Citation Text
. Prediction of the Degree of Late Blight Disease Based on Optical Fiber Spectral Information of Potato Leaves[J]. Spectroscopy and Spectral Analysis, 2022, 42(5): 1426
Category: Research Articles
Received: Mar. 31, 2021
Accepted: --
Published Online: Nov. 10, 2022
The Author Email: