Computer Vision-Based Agriculture Engineering最新文献

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Quality Grade Testing of Peanut Based on Image Processing 基于图像处理的花生质量等级检测
Computer Vision-Based Agriculture Engineering Pub Date : 2019-09-16 DOI: 10.1201/9780429289460-7
Han Zhongzhi
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引用次数: 0
Study on Defect Extraction of Pears with Rich Spots and Neural Network Grading Method 富斑梨缺陷提取及神经网络分级方法研究
Computer Vision-Based Agriculture Engineering Pub Date : 2019-09-16 DOI: 10.1201/9780429289460-18
Han Zhongzhi
{"title":"Study on Defect Extraction of Pears with Rich Spots and Neural Network Grading Method","authors":"Han Zhongzhi","doi":"10.1201/9780429289460-18","DOIUrl":"https://doi.org/10.1201/9780429289460-18","url":null,"abstract":"","PeriodicalId":163870,"journal":{"name":"Computer Vision-Based Agriculture Engineering","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127100566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Method of Detecting Peanut Cultivars and Quality Based on the Appearance Characteristic Recognition 基于外观特征识别的花生品种及品质检测方法研究
Computer Vision-Based Agriculture Engineering Pub Date : 2019-09-16 DOI: 10.1201/9780429289460-6
Han Zhongzhi
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引用次数: 0
Identifying the Change Process of a Fresh Pepper by Transfer Learning 用迁移学习识别鲜辣椒的变化过程
Computer Vision-Based Agriculture Engineering Pub Date : 2019-09-16 DOI: 10.1201/9780429289460-21
Han Zhongzhi
{"title":"Identifying the Change Process of a Fresh Pepper by Transfer Learning","authors":"Han Zhongzhi","doi":"10.1201/9780429289460-21","DOIUrl":"https://doi.org/10.1201/9780429289460-21","url":null,"abstract":"","PeriodicalId":163870,"journal":{"name":"Computer Vision-Based Agriculture Engineering","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128724875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Detecting Aflatoxin in Agricultural Products by Hyperspectral Imaging 利用高光谱成像技术检测农产品中的黄曲霉毒素
Computer Vision-Based Agriculture Engineering Pub Date : 2019-09-16 DOI: 10.1201/9780429289460-1
Han Zhongzhi
{"title":"Detecting Aflatoxin in Agricultural Products by Hyperspectral Imaging","authors":"Han Zhongzhi","doi":"10.1201/9780429289460-1","DOIUrl":"https://doi.org/10.1201/9780429289460-1","url":null,"abstract":"","PeriodicalId":163870,"journal":{"name":"Computer Vision-Based Agriculture Engineering","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121866529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Pixel-Level Aflatoxin Detection Based on Deep Learning and Hyperspectral Imaging 基于深度学习和高光谱成像的像素级黄曲霉毒素检测
Computer Vision-Based Agriculture Engineering Pub Date : 2019-09-16 DOI: 10.1201/9780429289460-5
Han Zhongzhi
{"title":"Pixel-Level Aflatoxin Detection Based on Deep Learning and Hyperspectral Imaging","authors":"Han Zhongzhi","doi":"10.1201/9780429289460-5","DOIUrl":"https://doi.org/10.1201/9780429289460-5","url":null,"abstract":"","PeriodicalId":163870,"journal":{"name":"Computer Vision-Based Agriculture Engineering","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115513615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Carrot Sorting System Using Machine Vision Technique 基于机器视觉技术的胡萝卜分选系统
Computer Vision-Based Agriculture Engineering Pub Date : 2019-09-16 DOI: 10.13031/AEA.11549
Deng Limiao, Duan Hongwei, Han Zhongzhi
{"title":"A Carrot Sorting System Using Machine Vision Technique","authors":"Deng Limiao, Duan Hongwei, Han Zhongzhi","doi":"10.13031/AEA.11549","DOIUrl":"https://doi.org/10.13031/AEA.11549","url":null,"abstract":"Abstract. Carrot grading is a labor intensive, time-consuming process and is usually performed manually in practical manufacturing. Manual inspection poses many problems in maintaining consistency and guaranteeing the detection efficiency. To improve the grading efficiency and achieve automatic detection, we developed an automated carrot sorting system using machine vision technology. The system consisted of an image processing system, an image acquisition system, a roller conveying system and a control system. It first picked out carrots with surface defects and then graded the qualified carrots by length. We proposed detection methods for three kinds of surface defects: misshapen, fibrous root, and surface crack. Given the fact that the regular carrot is convex-shaped, convex polygon was used to detect carrot shape. We proposed concave point method to detect the fibrous root and adopted Hough Transform to detect surface crack. Experimental results showed that the proposed methods could not only achieve satisfying detection accuracy but also high efficiency. The accuracy of curvature, fibrous root, and surface crack were 95.5%, 98% and 88.3%, respectively. The proposed methods and constructed sorting system could meet the demand of carrot grading and sorting.","PeriodicalId":163870,"journal":{"name":"Computer Vision-Based Agriculture Engineering","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115828437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 28
Using Deep Learning for Image-Based Plant Disease Detection 基于图像的植物病害检测的深度学习
Computer Vision-Based Agriculture Engineering Pub Date : 2019-09-16 DOI: 10.1201/9780429289460-24
Han Zhongzhi
{"title":"Using Deep Learning for Image-Based Plant Disease Detection","authors":"Han Zhongzhi","doi":"10.1201/9780429289460-24","DOIUrl":"https://doi.org/10.1201/9780429289460-24","url":null,"abstract":"","PeriodicalId":163870,"journal":{"name":"Computer Vision-Based Agriculture Engineering","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133821591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 14
A New Automatic Carrot Grading System Based on Computer Vision 基于计算机视觉的胡萝卜自动分级系统
Computer Vision-Based Agriculture Engineering Pub Date : 2019-09-16 DOI: 10.1201/9780429289460-15
Han Zhongzhi
{"title":"A New Automatic Carrot Grading System Based on Computer Vision","authors":"Han Zhongzhi","doi":"10.1201/9780429289460-15","DOIUrl":"https://doi.org/10.1201/9780429289460-15","url":null,"abstract":"","PeriodicalId":163870,"journal":{"name":"Computer Vision-Based Agriculture Engineering","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133175427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep Learning-Based Aflatoxin Detection of Hyperspectral Data 基于深度学习的高光谱数据黄曲霉毒素检测
Computer Vision-Based Agriculture Engineering Pub Date : 2019-09-16 DOI: 10.1201/9780429289460-4
Han Zhongzhi
{"title":"Deep Learning-Based Aflatoxin Detection of Hyperspectral Data","authors":"Han Zhongzhi","doi":"10.1201/9780429289460-4","DOIUrl":"https://doi.org/10.1201/9780429289460-4","url":null,"abstract":"","PeriodicalId":163870,"journal":{"name":"Computer Vision-Based Agriculture Engineering","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114871129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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