Real-time projections and estimated distributions of agricultural pests, diseases, and biocontrol agents

This is a computer system designed to predict the spread and contraction of agricultural pests, diseases, or beneficial biocontrol agents within a farming area. It works by taking current location data for a specific agent and applying a pre-existing mathematical model to project its future presence. The models specifically estimate the "pressure" of an agent at various locations, considering its past presence and a maximum possible limit.

Why it matters: Filed before the significant advancements in geospatial AI and machine learning. The development and refinement of complex spatiotemporal models, which were a major undertaking in 2020, can now be significantly accelerated by more sophisticated data analysis platforms and predictive algorithms.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, data models, and algorithms

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