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首页> 外文期刊>Network Daily News >Study Findings on Agronomy Are Outlined in Reports from University of Padova (Automatic Bunch Detection in White Grape Varieties Using YOLOv3, YOLOv4, and YOLOv5 Deep Learning Algorithms)
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Study Findings on Agronomy Are Outlined in Reports from University of Padova (Automatic Bunch Detection in White Grape Varieties Using YOLOv3, YOLOv4, and YOLOv5 Deep Learning Algorithms)

机译:研究结果对农学中概述报告从帕多瓦大学(自动群使用YOLOv3检测在白葡萄品种,YOLOv4和YOLOv5深学习算法)

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摘要

By a News Reporter-Staff News Editor at Network Daily News – Data detailed on agronomy have been presented. According to news reporting originating from Legnaro, Italy, by NewsRx correspondents, research stated, “Over the last few years, several Convolutional Neural Networks for object detection have been proposed, characterised by different accuracy and speed. In viticulture, yield estimation and prediction is used for efficient crop management, taking advantage of precision viticulture techniques.”
机译:由一个新闻记者在网络新闻编辑每日新闻——数据详细农学提出了。由NewsRx源自Legnaro、意大利记者,研究指出:“在过去的几年里,几个卷积神经网络提出了目标检测,的特点是不同的精度和速度。葡萄栽培,产量估计和预测用于高效的作物管理,利用精密的葡萄栽培技术。”

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