维普期刊资源整合服务平台（V6.5）

维普中文期刊产品整合服务

1篇 您的检索式：作者名="Nazrul Ismail"

选中清除导出查看参考文献查看引证文献引用追踪共1页首页上一页第1页下一页末页 /1 跳转

		题名	作者	年代	出处	被引量
	1	Real-time visual inspection system for grading fruits using computer vision and deep learning techniques显示文摘Traditional manual visual grading of fruits has been one of the important challenges faced by the agricultural industry due to its laborious nature as well as inconsistency in inspec-tion and classification process.Automated defects detection using computer vision and machine learning has become a promising area of research with a high and direct impact on the domain of visual inspection.In this study,we propose an efficient and effective machine vision system based on the state-of-the-art deep learning techniques and stack-ing ensemble methods to offer a non-destructive and cost-effective solution for automat-ing the visual inspection of fruits’freshness and appearance.We trained,tested and compared the performance of various deep learning models including ResNet,DenseNet,MobileNetV2,NASNet and EfficientNet to find the best model for the grading of fruits.The proposed system also provides a real time visual inspection using a low cost Raspberry Pi module with a camera and a touchscreen display for user interaction.The real time sys-tem efficiently segments multiple instances of the fruits from an image and then grades the individual objects(fruits)accurately.The system was trained and tested on two data sets(apples and bananas)and the average accuracy was found to be 99.2% and 98.6% using EfficientNet model for apples and bananas test sets,respectively.Additionally,a slight improvement in the recognition rate(0.03% for apples and 0.06% for bananas)was noted while applying the stacking ensemble deep learning methods.The performance of the developed system has been found higher than the existing methods applied to the same data sets previously.Further,during real-time testing on actual samples,the accuracy was found to be 96.7% for apples and 93.8% for bananas which indicates the efficacy of the developed system.	Nazrul Ismail Owais A.Malik	2022	Information Processing in Agriculture2022，9，1：	3

返回顶部每页显示：

共1页首页上一页第1页下一页末页 /1 跳转

goolge学术搜索-维普

网站首页 | 关于我们 | 联系我们 | 产品服务 | 客服中心 | 广告服务 | 版权声明 | 网站联盟 | 友情链接 | 售卡网点

版权所有© 渝B2-20050021-1　渝公网安备 50019002500403号　违法和不良信息举报中心

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费