agricultural biometrics course
Master agricultural biometrics to transform field trial data into actionable insights. Build skills in experiment design, mixed models, diagnostics, and yield forecasting to fine-tune crop varieties, fertiliser use, and sites for better, data-guided farming practices in Botswana contexts.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain key biometrics expertise to confidently plan, analyse, and interpret multi-site field experiments. This focused course explores trial design, linear and mixed models, hypothesis tests, multiple comparisons, model checks, and resilient techniques. Master data cleaning, managing incomplete or uneven trials, evaluating predictions and stability, plus creating reproducible reports and graphics for smart, evidence-based choices.
Elevify advantages
Develop skills
- Design multi-site field trials using RCBD and factorial setups efficiently.
- Analyse genotype-by-environment interactions via linear mixed models.
- Conduct robust ANOVA and multiple comparisons like Tukey, Dunnett, and LSD.
- Diagnose model fit with residual analysis, data transformations, and remedies.
- Convert biometric results into practical decisions with yield predictions and reports.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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