Deals with different types of data, specially crop yields, soil properties, weather, livestock performance, pest incidence, and socio-economic survey.
Specialized in Statistical inference, risk assessment, reliability management, experimental design, field trials in agriculture which often requires advanced design to control variability in soil and weather
2. Multidisciplinary Research
Works together with Agronomy, Horticulture, Plant breeding, Soil science, Entomology, Management, Geography, Physical education, Education, and other Social Sciences to design experiments and analyze data.
Contributes to climate modelling, crop yield forecasting etc.
3. Focus on Field and Rural Development
Data from on-farm trials social surveys are analyzed, which needs handling of heterogeneity in data, missing data, and non-normality.
4. Capacity Building and Training
Train Scientists and researchers in designing suitable experiment and interpreting the result correctly.
Organise FDP/workshop on Statistical computing and Data analysis.