کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11030287 | 1646355 | 2018 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Segmentation of lettuce in coloured 3D point clouds for fresh weight estimation
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Segmentation of lettuce in coloured 3D point clouds for fresh weight estimation Segmentation of lettuce in coloured 3D point clouds for fresh weight estimation](/preview/png/11030287.png)
چکیده انگلیسی
Monitoring the health and yield of crops during production is an important, but labour intensive component of commercial agriculture, especially in high value crop such as lettuce. This article proposes a novel method for segmenting lettuce in coloured 3D point clouds and estimating the fresh weight. The proposed segmentation method operates by clustering points into leaves and then evaluating their affiliation to a lettuce of interest. From the segmented lettuce point clouds, the volume, surface area, leaf cover area and height predictors are extracted and correlated to the fresh weight. The proposed segmentation and yield estimation methods are evaluated on Cos and Iceberg lettuce point clouds generated from images collected by an agricultural robot in an outdoor field experiment. The results demonstrate that the proposed segmentation method is able to successfully isolate lettuce (F1-scoreâ¯=â¯0.88-0.91). Analysis of the segmented lettuce models show that the calculated surface areas correlate strongly with measured fresh weight (R2â¯=â¯0.84-0.94). Not only does this validate the segmentation method, it allows an accurate estimate of the lettuce fresh weight (RMSEâ¯=â¯27-50â¯g) to be produced non-destructively.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers and Electronics in Agriculture - Volume 154, November 2018, Pages 373-381
Journal: Computers and Electronics in Agriculture - Volume 154, November 2018, Pages 373-381
نویسندگان
Anders Krogh Mortensen, Asher Bender, Brett Whelan, Margaret M. Barbour, Salah Sukkarieh, Henrik Karstoft, René Gislum,