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Computer Vision And Neural Networks To Help Detect Crop Diseases
A research team from Skoltech and Saint-Petersburg State University of Aerospace Instrumentation have presented a paper in which they pioneered an alternative method for detecting decayed and moldy apples at the post-harvest stage, when fruits are stored and then delivered to the customer. A computer vision system will determine different defects at the early stage, ...
phys.org