Agricultural Tools

Analyze CRD, RCBD & Latin Square experiments. Upload Excel data to get publication-ready ANOVA tables, post-hoc letter groupings (LSD, DMRT, Tukey, Bonferroni, Scheffé), correlation, regression and high-resolution charts.

Enter soil test N, P, K and texture. The crop NPK recommendation is auto-classified (Very Low to Very High, Hill/Terai based) and corrected before computing Urea, DAP and MOP doses.

Convert per-hectare N, P, K requirements into Urea, DAP and MOP doses for any land area (hectare, ropani, bigha, kattha, dhur, aana, acre). Supports 2 or 3 split applications of Urea.

Build CRD, RCBD, and Latin Square experiment layouts with automatic randomization, field dimension visualization, and CSV export.

Find out whether compost, manure, crop residue or green manure will release nitrogen or temporarily tie it up, from carbon content, C:N ratio and microbial carbon use efficiency.

Convert common agricultural units including Nepali local units like ropani, aana, bigha, kattha, pau, moori, and more.

Calculate phosphorus concentration from spectrophotometer absorbance using standard curve linear regression. Supports P ppm, P₂O₅ ppm, and P₂O₅ kg/ha outputs with PDF export.

Calculate potassium concentration from flamephotometer absorbance using standard curve linear regression. Supports K ppm, K₂O ppm, and K₂O kg/ha outputs with PDF export.

Calculate Soil Quality Index from soil texture, pH, organic carbon, and NPK and understand the overall quality of soil.

Calculate year-wise per-plant recommendations into UREA, DAP, MOP and compost totals. Supports population and area-wise dose.

Calculate soil nutrient index for nitrogen, phosphorus, potassium, pH, and organic matter from multiple soil samples. Supports both numeric and categorical data entry with Excel export.

Calculate lime requirements based on soil pH, buffer pH, organic matter, and clay content. Choose from multiple regression models for accurate lime application recommendations.

Determine your soil's textural class based on sand and clay percentages using the USDA classification system. Ideal for soil analysis and agricultural planning.

Calculate the mixing ratio of a low-CP and high-CP ingredient to reach a target crude protein using the Pearson square method.

Convert from Unicode to Preeti font quickly.