| 基于Mask R-CNN的蘑菇成熟度检测方法 |
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| 引用本文： | 杨亚,徐增丙. 基于Mask R-CNN的蘑菇成熟度检测方法[J]. 农业工程, 2022, 12(7): 35-39. DOI: 10.19998/j.cnki.2095-1795.2022.07.007 |
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| 作者姓名： | 杨亚 徐增丙 |
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| 作者单位： | 1.武汉科技大学机械自动化学院，湖北 武汉 430081 |
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| 基金项目： | 国家自然科学基金(51775391)，湖北省重点研发计划(2020BBA041) |
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| 摘 要： | 蘑菇成熟度是判断蘑菇是否可采摘的决定性依据，当前大多数蘑菇培育基地都是依靠人工经验判断蘑菇是否成熟，这不仅对人工经验要求极高，而且增加了劳动强度。针对上述问题，研究了一种基于Mask R-CNN网络的蘑菇目标检测及识别方法，对蘑菇进行单体分割从而判断其成熟度。试验结果表明，该方法能对蘑菇是否成熟做出准确判断，对推广蘑菇的智能化种植具有重要意义。
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| 关 键 词： | 深度学习 目标检测 Mask R-CNN 蘑菇成熟度 |
| 收稿时间： | 2022-01-25 |
| 修稿时间： | 2022-04-02 |
Mushroom detection and segmentation based on Mask R-CNN |
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| yangya and xuzengbing. Mushroom detection and segmentation based on Mask R-CNN[J]. Agricultural Engineering, 2022, 12(7): 35-39. DOI: 10.19998/j.cnki.2095-1795.2022.07.007 |
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| Authors: | yangya and xuzengbing |
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| Affiliation: | 1.College of Machinery and Automation，Wuhan University of Science and Technology，Wuhan Hubei 430081，China2.Key Laboratory of Metallurgical Equipment and Control of Ministry of Education，Wuhan University of Science and Technology，Wuhan Hubei 430081，China3.Wuhan Academy of Agricultural Sciences，Wuhan Hubei 430065，China |
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| Abstract: | Mushroom maturity is the decisive basis for judging whether mushrooms can be picked. At present, most mushroom breeding bases rely on artificial experience to judge whether mushrooms are mature. This not only requires extremely high manual experience, but also increases labor intensity. In response to the above problems, this paper studies a mushroom target detection and recognition method based on the Mask R-CNN network, and divides the mushrooms individually to judge their maturity. The experimental results show that this method can make accurate judgments on whether the mushrooms are mature, and it is of great significance to promote the intelligent cultivation of mushrooms. |
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| Keywords: | Deep learning Target Detection Mask R-CNN Mushroom maturity |
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