{"title":"温室不确定番茄植株的自动修剪","authors":"Angeja Joey, Zhang Jane, Liu Bo","doi":"10.1145/3271553.3271569","DOIUrl":null,"url":null,"abstract":"Pruning of indeterminate tomato plants is vital for a profitable yield and it still remains a manual process. There has been research in automated pruning of grapevines, trees, and other plants, but tomato plants have yet to be explored. Wage increases are contributing to the depleting profits of greenhouse tomato farmers. In this paper, we investigate the feasibility of automating the process of finding greenhouse tomato pruning points. The algorithm proposed in this work can preprocess the image, classify the skeleton, calculate the intersection point statistics, identify, and mark the suckers read in the image with a 97% true positive detection rate using a dataset with 100 images.","PeriodicalId":414782,"journal":{"name":"Proceedings of the 2nd International Conference on Vision, Image and Signal Processing","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Automated Pruning of Greenhouse Indeterminate Tomato Plants\",\"authors\":\"Angeja Joey, Zhang Jane, Liu Bo\",\"doi\":\"10.1145/3271553.3271569\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Pruning of indeterminate tomato plants is vital for a profitable yield and it still remains a manual process. There has been research in automated pruning of grapevines, trees, and other plants, but tomato plants have yet to be explored. Wage increases are contributing to the depleting profits of greenhouse tomato farmers. In this paper, we investigate the feasibility of automating the process of finding greenhouse tomato pruning points. The algorithm proposed in this work can preprocess the image, classify the skeleton, calculate the intersection point statistics, identify, and mark the suckers read in the image with a 97% true positive detection rate using a dataset with 100 images.\",\"PeriodicalId\":414782,\"journal\":{\"name\":\"Proceedings of the 2nd International Conference on Vision, Image and Signal Processing\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd International Conference on Vision, Image and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3271553.3271569\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Conference on Vision, Image and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3271553.3271569","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automated Pruning of Greenhouse Indeterminate Tomato Plants
Pruning of indeterminate tomato plants is vital for a profitable yield and it still remains a manual process. There has been research in automated pruning of grapevines, trees, and other plants, but tomato plants have yet to be explored. Wage increases are contributing to the depleting profits of greenhouse tomato farmers. In this paper, we investigate the feasibility of automating the process of finding greenhouse tomato pruning points. The algorithm proposed in this work can preprocess the image, classify the skeleton, calculate the intersection point statistics, identify, and mark the suckers read in the image with a 97% true positive detection rate using a dataset with 100 images.
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