AppleDiseaseSDM This study investigates the environmental suitability of three major apple diseases in China—Apple Valsa Canker (AVC), Apple Ring Rot (ARR), and Alternaria Blotch on Apple (ABA)—using five species distribution models (SDMs): Generalized Linear Model (GLM), Generalized Additive Model (GAM), Support Vector Machines (SVM), Maximum Entropy (MaxEnt), and Random Forest (RF).
This project is based on the study:
"Spatially-explicitly predicting suitability of three apple diseases in China: a comparative analysis of five species distribution models."
- Data & Methods: Analyzed 1,392 georeferenced disease occurrence records across China’s apple-growing regions.
- Model Performance: Evaluated using AUC (Area Under the ROC Curve) and TSS (True Skill Statistics)..
- High-Risk Regions: Bohai Bay, Loess Plateau, and Old Course of the Yellow River were identified as highly suitable for disease outbreaks
- Clone this repository:
git clone https://github.com/SmartAG-NWAFU/AppleDiseaseSDM.git
- Install the required python packages.
** presence Records**: The shp file recording the occurrence points of three apple diseases
This project is licensed under a custom academic use license. See the LICENSE file for details.
For inquiries, contact: • Prof. Qiang Yu: [email protected] • Prof. Gang Zhao: [email protected]