Neural Network Counts Corn: A New Level of AI Accuracy

Neural network technologies have reached a new level of accuracy in computer vision tasks. Artificial intelligence can analyze images with high detail, solving complex object counting problems.

A specially trained AI agent used Meta's SAM model to analyze agricultural crop photos. During the experiment, the system successfully determined the number of corn kernels on one ear from a single image.

The application of such algorithms opens up prospects for automating agronomic processes and crop monitoring. However, before implementing the technology, it is necessary to address issues related to practical integration of the obtained data into workflows.