This invention describes a method to control pests in crop fields by predicting where they're likely to appear. It uses historical pest data, current plant health or local environmental conditions, and weather forecasts to pinpoint specific areas in a field where pests are most likely to emerge, allowing for targeted control.
Why it matters: Filed before widespread adoption of advanced machine learning for predictive agriculture. The ability to integrate diverse, subarea-specific data for risk prediction has greatly improved with modern AI and remote sensing technologies.
AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.
Reinvent this with AI