PREDICTING DAMAGE CAUSED BY FUNGAL INFECTION RELATING TO CROP PLANTS OF A PARTICULAR SPECIES
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United States of America Patent
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Issued Date -
May 23, 2024
app pub date -
Mar 24, 2022
filing date -
Mar 26, 2021
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Abstract
A computer predicts damage to crop plants (110) in a particular geographic area (100), caused by Sclerotinia fungi. The computer receives current condition data (202) in form of time-series, collected during a monitor interval. The current condition data (202) comprises plant data with an identifier of a particular crop plant species, the identifier of crop plants previously grown, and biomass data; as well as environmental with weather data and with soil moisture data. The computer processes the current condition data (202) by an artificial neural network (472), and provides predicted damage data (302). The artificial neural network (472) has previously being trained by a combination of historical condition data in the form of time-series for the particular geographic area (100) and historical damage data in form of expert annotations.
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