.png){kind=icon}
返回
A method for counting and classifying aphids using computer vision
.png){kind=icon}
OA
AI
DOI：10.1016/j.compag.2019.105200.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Aphids are insects that attack crops and cause damage directly, by consuming the sap of plants, and indirectly, by vectoring microorganisms that can cause diseases. Cereal crops are hosts for many aphid species, including Rhopalosiphum padi (an economically important aphid species). Recording and classifying aphids are necessary for evaluating and predicting crop damage. Thus, serving as a basis for decision making on the utilization of control measures. It can also be useful to evaluate plant resistance to aphids. Traditionally, the recording process is manual and depends on magnification and well-trained staff. The manual counting is also a time-consuming process and susceptible to errors. With this in mind, this paper presents a method and software to automate the counting and classification of Rhopalosiphum padi using image processing, computer vision, and machine learning methods. The text also presents a comparison of manually counts from experts and values obtained with the software, considering 40 samples. The results showed strong positive correlation in counting and classification (r, = 0.92579) and measurement (r = 0.9799). Concluding, the software proved to be reliable and useful to aphid population monitoring studies.
Keyword:
Aphids
Classification
Computer vision
Counting
Measurement
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
8.9
论文数:
1.0W
被引数:
4.8W
机构
引用论文
分享收藏Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning基于深度学习的非小细胞肺癌组织病理图像分类及突变预测.png)
NATURE MEDICINEOAAI
NATURE MEDICINEIF50
OAAI分享收藏Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning通过深度学习自动识别，计数和描述相机陷阱图像中的野生动物OAAI
OAAI分享收藏Deep Learning to Improve Breast Cancer Detection on Screening Mammography深度学习在乳腺钼靶筛查中提高乳腺癌检出率SCIENTIFIC REPORTSOAAI
SCIENTIFIC REPORTSIF3.9
OAAI分享收藏分享收藏
查看更多内容