CRAG researchers develop an algorithm to measure fruit morphology
Researchers from the Centre for Research in Agricultural Genomics (CRAG), BIB MEMBER, have developed an automatized and cost-effective computing method to evaluate fruit shape and colour that will contribute to increasing agriculture efficiency.
This work applies deep learning techniques to evaluate fruit shapes. Combining such methods with linear and multivariate measurements, researchers were able to generate an automatized software pipeline that analyses shape and colour patterns extracted from strawberry images.
This contribution can be very valuable in the first step of breeding programmes, since it would allow evaluating various crosses without the need to test them directly in the field, saving time and resources.