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Organizations: FDRE - Ministry of Agriculture (MoA) Formats: HTML Tags: Ethiopia

9 datasets found

  • Extractable Boron N3 | TTL | RDF/XML | JSON-LD

    FDRE - Ministry of Agriculture (MoA)
    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.
    Created December 9, 2023 Updated October 9, 2024
  • CEC N3 | TTL | RDF/XML | JSON-LD

    FDRE - Ministry of Agriculture (MoA)
    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...
    Created December 9, 2023 Updated October 9, 2024
  • Calcium Saturation N3 | TTL | RDF/XML | JSON-LD

    FDRE - Ministry of Agriculture (MoA)
    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.
    Created December 9, 2023 Updated October 9, 2024
  • Extractable Copper N3 | TTL | RDF/XML | JSON-LD

    FDRE - Ministry of Agriculture (MoA)
    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.
    Created December 9, 2023 Updated October 9, 2024
  • Extractable Iron N3 | TTL | RDF/XML | JSON-LD

    FDRE - Ministry of Agriculture (MoA)
    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.
    Created December 9, 2023 Updated October 9, 2024
  • Magnesium Saturation N3 | TTL | RDF/XML | JSON-LD

    FDRE - Ministry of Agriculture (MoA)
    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.
    Created December 9, 2023 Updated October 9, 2024
  • Total Nitrogen N3 | TTL | RDF/XML | JSON-LD

    FDRE - Ministry of Agriculture (MoA)
    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...
    Created December 9, 2023 Updated October 9, 2024
  • Exchangeable Potassium N3 | TTL | RDF/XML | JSON-LD

    FDRE - Ministry of Agriculture (MoA)
    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...
    Created December 9, 2023 Updated October 9, 2024
  • Soil pH N3 | TTL | RDF/XML | JSON-LD

    FDRE - Ministry of Agriculture (MoA)
    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...
    Created December 9, 2023 Updated October 9, 2024
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