Abstract: The present invention relates to protecting an animal species present in an animal protection zone (202). A life stage of the animal species is determined based on an animal life-cycle model, which is configured for simulating a life-cycle of the animal species. An animal protection time window is determined based on the life stage of the animal species during which no agricultural processing, which may negatively affect the animal species is to be performed in the animal protection zone (202) in order to protect the animal species. Furthermore, an overlap zone (210) is determined based on a spatial overlap between an agricultural zone (200) and the animal protection zone (202), and a safe time window for an agricultural processing in the overlap zone (210) is determined. The safe time window has no temporal overlap with the animal protection time window. This allows providing a safe time window in which the animal species is protected in the overlap zone (210).

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.