In a recent study, researchers have developed a system to grade soybean seeds automatically. The system combines image processing and machine learning techniques to accurately and reliably grade the seeds. The researchers tested the system on a variety of soybean seed samples and found that it was able to accurately grade the samples with an accuracy of up to 98%. This automated system could help farmers and seed companies save time and money, as it eliminates the need for manual grading. The system could also be used to ensure the quality of the seed, which can greatly improve crop yield. The researchers hope that this automated system will be used in the future to improve the quality and yield of soybean crops.

Read Full Article Here

source: Phys.org