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This invention describes a computer program designed to count corn kernels from a digital image. It processes the image by enhancing its contrast and removing noise, then segments the kernels from the background to determine their number. Although the abstract mentions general plant disease detection, the patent's specific claims are limited to this method for counting corn kernels.
Why it matters: Filed before the widespread adoption of advanced deep learning for computer vision. Modern AI models can perform image segmentation and object counting with much higher accuracy and efficiency than was common in 2019.
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