System and method for modeling disease severity

Abstract

Example embodiments provide systems and methods for simulating disease outbreak based on a limited number of input parameters. In one embodiment, a disease severity level is calculated based on a relationship between a leaf wetting duration and an average temperature during a wetting period. The resulting model may be a physical, deterministic model that accepts weather data per hour as input and outputs the most important severity event of disease infection during a specified period of time.

Description

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS [0002] This application claims priority to US Non-Provisional Patent Application No. 16 / 720,713, filed on December 19, 2019, the disclosure of which is hereby incorporated by reference in its entirety. technical field [0003] This application relates to computational techniques for predicting, detecting and modeling diseases in plants and animals. Background technique [0004] In agriculture, it is desirable to maximize the production or yield of a given agricultural product as much as possible. One factor limiting throughput or yield is disease, which can include, for example, microorganisms, insects, bacteria, fungi, viruses, pathogens, parasites, and genetic disorders. Disease outbreaks can reduce or even completely destroy harvests. [0005] In many cases, agricultural diseases can be treated or controlled - for example, by spraying crops with suitable treatments such as fungicides, insecticides or insecticides. Howeve...

AI Technical Summary

Problems solved by technology

This makes extending the simulation to new disease types difficult

Images