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Color-, depth-, and shape-based 3D fruit detection
Precision Agriculture, 2019A novel detection algorithm based on color, depth, and shape information is proposed for detecting spherical or cylindrical fruits on plants in natural environments and thus guiding harvesting robots to pick them automatically. A probabilistic image segmentation method is first presented to segment a red–green–blue image as a binary mask. Multiplied by
Guichao Lin +4 more
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Improving Robotic Fruit Harvesting Within Cluttered Environments Through 3D Shape Completion
IEEE Robotics and Automation LettersThe world population is increasing and will, by 2050, nearly double its demand for food, feed, fuel, and fiber. Besides environmental challenges, labor shortage also poses crucial challenges to the agricultural production system.
Federico Magistri +5 more
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Size, Shape and Number of Astragalus caryocarpus Fruits
1946(Uploaded by Plazi from the Biodiversity Heritage Library) No abstract provided.
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Candidate gene mining of GA-mediated regulation of pear fruit shape
Horticulture Environment and BiotechnologyZeyu Xue +8 more
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Fruit shape in apple under controlled environment conditions.
1990In several experiments done in controlled environment rooms under divergent air and soil temperatures and air humidities, fruit shape (expressed as the width/height ratio) was determined throughout the season. Contrary to a number of reports on field surveys, fruit shape showed little or no influence of environmental factors.
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