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Robots and Strawberries: A New Way to Measure Weight
Thursday, April 3, 2025
With the depth information fixed, a new model was built. This model, called MMF-Net, uses both the completed depth image and the regular image to guess the weight of the strawberry. It combines the strengths of both types of images to make a more accurate guess.
Now, let's talk about how well this model works. It was compared to other models, both old-school and new-school. The old-school models include things like Support Vector Regression and Random Forest Regression. The new-school models include things like PointNet and EfficientNet. The results showed that the MMF-Net model was the most accurate. It beat out both the old-school and new-school models.
So, what does this all mean? Well, it means that robots could be the future of strawberry grading. They could make the process faster, cheaper, and gentler on the fruit. But, there's still more work to be done. The models need to be tested in real-world conditions, and the robots need to be trained to pick the strawberries without damaging them. It's a work in progress, but it's an exciting one.
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