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Variables: - Solar Radiation - Albedo RNS = (1- albedo) * solar radiation |
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Additional in-depth documentation (by Brandon Tai (Unlicensed) )
The water balance insight serves to help farmers observe the water content in the soil of their locations. A centerpiece of this algorithm is the texture of the soil, which is reported to LiteFarm through soil data logs. When creating a soil data log, the farmer will be prompted to select one of a fixed list of textures. Possible values to select include “Sand”, “Loamy Sand”, “Silt”, and “Clay Loam”. The water balance algorithm involves a handful of lengthy and specific calculations that will plug in the values of the sand content, the clay content, and the silt content of the soil. The chosen texture of a log will determine these three values. The values that are used are shown in the following table:
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Variables: Quantity Harvested: How much harvested crops in a farm Refuse: % Refuse for each crop Protein Content: Crop Protein Factor to Convert From Protein to Nitrogen = 0.16 Moisture Factor = 1 Total Nitrogen In Crop = quantityHarvested * (1 - refuse) * proteinContent * factorToConvertFromProteinToNitrogen * moistureFactor; |
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Additional in-depth documentation (by Brandon Tai (Unlicensed) )
The nitrogen balance insight acts as an indicator to a farmer on the balance of nitrogen in the soil of a location on their farm, as the name entails. The algorithm for this insight is run daily for each farm and will save a nitrogen value for each location of a farm that resulted in a non-trivial value. The calculation can be summed up as simply being the difference between how much nitrogen is going into the soil (typically through the application of fertilizers) and how much nitrogen is being taken out (usually through harvests). As such, this can be broken down as the calculations of the nitrogen in value and the nitrogen out value.
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