System and Method for Crop Monitoring

This invention describes a system that automatically monitors crops by analyzing many high-resolution aerial images. It uses computer vision and machine learning to spot specific crop features, measure their characteristics, and then produce useful information like crop counts, yield predictions, or maps showing diseased areas. Crucially, the system can also generate instructions for farm machinery to apply treatments directly.

Why it matters: Filed in 2021, the underlying machine learning and computer vision technologies have seen significant advancements in robustness and accessibility. This makes the core image analysis and feature identification more feasible and accurate, especially for generating precise, machine-integrated instructions for farm equipment.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMachine learning, computer vision, farm machinery integration.

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