Data Analysis in Plant Pathology Research

Category	Tool	Type	Use in Plant Pathology
📊 Data Analysis & Statistics	R	Statistical Software	Disease incidence analysis, epidemiology modeling
	Python	Programming Language	Machine learning for disease prediction
	SAS	Statistical Tool	Experimental disease data analysis
	SPSS	Statistical Tool	Survey & field data
	GenStat	Biostatistics Software	Pathology trials
🦠 Disease Modeling & Epidemiology	DSSAT	Simulation Tool	Disease-weather interaction
	APSIM	Simulation Tool	Crop-disease modeling
	EPIRICE	Disease Model	Rice disease forecasting
	CLIMEX	Climate Model	Pathogen distribution prediction
🌍 GIS & Remote Sensing	ArcGIS	GIS Tool	Disease mapping
	QGIS	GIS Tool	Spatial disease analysis
	Google Earth Engine	Cloud GIS	Large-scale disease monitoring
	ENVI	Remote Sensing	Crop stress detection
🤖 AI & Machine Learning	TensorFlow	AI Framework	Disease detection models
	PyTorch	AI Framework	Image-based disease diagnosis
	Scikit-learn	ML Library	Prediction & classification
	Keras	Deep Learning	Neural networks
📷 Image Processing	OpenCV	Vision Tool	Disease symptom detection
	ImageJ	Analysis Tool	Lesion measurement
	Pix4D	Drone Tool	Field disease mapping
🚜 Precision Tools	IoT Sensors	Smart Devices	Humidity & disease monitoring
	Drones	Imaging Tool	Crop surveillance
	GPS	Navigation	Field mapping