An efficient tomato-detection method based on improved YOLOv4-tiny model in complex environment
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DOI: 10.3389/fpls.2023.1150958
Abstract: Automatic and accurate detection of fruit in greenhouse is challenging due to complicated environment conditions. Leaves or branches occlusion, illumination variation, overlap and cluster between fruits make the fruit detection accuracy to decrease. To address… read more here.
Keywords: tomato detection; yolov4 tiny; improved yolov4; detection ... See more keywords