To reduce food waste, it is important to know what strawberries to prioritise for harvesting. Size is an important quality attribute for strawberry. In order to know the size, the depth of the strawberry in the image must been known. To estimate the depth, stereovision gets utilized using binocular images. Since classic stereovision methods are quite inaccurate in predicting small areas in images, a technique by [Mustafah et al., 2013] is used. Using given segments of the strawberries, the left and right strawberry images will get matched. With the matched strawberries, the disparity can be calculated and thus the depth. Using the depth, the size can be estimated.