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COMPUTER VISION-BASED YIELD-TO-PICKING AREA MAPPING FOR HORTICULTURAL PRODUCT
COMPUTER VISION-BASED YIELD-TO-PICKING AREA MAPPING FOR HORTICULTURAL PRODUCT
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机译:基于计算机视觉的园艺产品的促进区域测绘
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摘要
Embodiments of the disclosed technologies are capable of inputting, to a machine-learned model that has been trained to recognize a horticultural product in digital imagery, digital video data comprising frames that represent a view of the horticultural product in belt-assisted transit from a picking area of a field to a harvester bin; outputting, by the machine-learned model, annotated video data; using the annotated video data, computing quantitative data comprising particular counts of the individual instances of the horticultural product associated with particular timestamp data; using the timestamp data, mapping the quantitative data to geographic location data to produce a digital yield map; causing display of the digital yield map on a field manager computing device.
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