Extractable Boron (mg/kg): Essential micronutrient that regulates the metabolism of carbohydrates in plants. It’s critical for new growth and assists in pollination, fertilization and more. The data generated by MoA-ATI (EthioSIS Project) using thousands of field-lab data and satellite data (Covariates) as an input in machine learning models.

Cation Exchange Capacity (Cmol/kg): It is a is a measure of the soil’s ability to hold positively charged ions. It is a very important soil property influencing soil structure stability, nutrient availability, soil pH and the soil’s reaction to fertilisers and other ameliorants. The data generated by MoA-ATI (EthioSIS Project) using thousands...

Calcium Saturation (%): Secondary macronutrient that aids in the growth and development of cell walls. It’s also helpful in cell metabolism and the uptake of nitrate. The data generated by MoA-ATI (EthioSIS Project) using thousands of field-lab data and satellite data (Covariates) as an input in machine learning models.

Extractable Copper (mg/kg): Essential micronutrient that activates enzymes in plants. The data generated by MoA-ATI (EthioSIS Project) using thousands of field-lab data and satellite data (Covariates) as an input in machine learning models.

Extractable Iron (mg/kg): Essential micronutrient that required for formation of chlorophyll in plants. The data generated by MoA-ATI (EthioSIS Project) using thousands of field-lab data and satellite data (Covariates) as an input in machine learning models.

Magnesium Saturation (%): Secondary macronutrient that contributes to the green coloration of the plants. The data generated by MoA-ATI (EthioSIS Project) using thousands of field-lab data and satellite data (Covariates) as an input in machine learning models.

Total Nitrogen (%): Primary macronutrient that helps foliage to grow strong, affects the plant’s leaf development. It also gives plants their green color due to its assistance with chlorophyll production. The data generated by MoA-ATI (EthioSIS Project) using thousands of field-lab data and satellite data (Covariates) as an input in machine learning...

Exchangeable Potassium (mg/kg): Primary macronutrient that strengthens plants, helps contribute to early growth and assists the plants in retaining water. It also keeps the plants from contracting diseases and insects. The data generated by MoA-ATI (EthioSIS Project) using thousands of field-lab data and satellite data (Covariates) as an input in machine...

Soil pH: is the measure of soil acidity or alkalinity, specifically it is the inverse log of the Hydrogen ion concentration. The pH ranges from 0 (extremely acid) to 14 (extremely alkaline) with 7 being neutral. Soil pH map generated by MoA-ATI (EthioSIS Project) using thousands of field-lab data and satellite data (Covariates) as an input in machine...

Available Sulfur (mg/kg): Secondary macronutrient that helps form and grow seeds. It also aids in the production of amino acids, proteins, enzymes and vitamins. The data generated by MoA-ATI (EthioSIS Project) using thousands of field-lab data and satellite data (Covariates) as an input in machine learning models.