深度学习在蘑菇栽培中的应用

B. Huang, Ji-Yun Chen, Xinying Lai, Guanting Chen, Ko-Wei Huang
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引用次数: 0

摘要

在这项研究中,我们设计并实现了一个智能系统,该系统使用图像识别来实时确定蘑菇的状态并记录生长过程。该系统有助于提高生产效率和产品质量。它主要应用YOLOv4来识别蘑菇的成熟度和污垢的存在;它还包括一个图像视觉距离识别算法,可以学习监控镜头相对于蘑菇的位置。实验结果表明,该系统能够准确识别蘑菇的状态,并计算出透镜与蘑菇之间的距离。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Deep Learning for Mushrooms Cultivation
In this study, we designed and implemented an intelligent system that uses image recognition to determine the status of mushrooms in real time and record the growth process. This system may help improve production efficiency and product quality. It primarily applies YOLOv4 to identify mushroom maturity and the presence of dirt; it also includes an image visual distance recognition algorithm that learns the position of the monitoring lens relative to the mushrooms. The results of the experiment demonstrate that the proposed system can accurately recognize mushroom status and calculate the distance between the lens and mushrooms.
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