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http://dx.doi.org/10.5532/KJAFM.2018.20.2.205

Estimation of fresh weight for chinese cabbage using the Kinect sensor  

Lee, Sukin (Department of Plant Science, Seoul National University)
Kim, Kwang Soo (Department of Plant Science, Seoul National University)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.20, no.2, 2018 , pp. 205-213 More about this Journal
Abstract
Development and validation of crop models often require measurements of biomass for the crop of interest. Considerable efforts would be needed to obtain a reasonable amount of biomass data because the destructive sampling of a given crop is usually used. The Kinect sensor, which has a combination of image and depth sensors, can be used for estimating crop biomass without using destructive sampling approach. This approach could provide more data sets for model development and validation. The objective of this study was to examine the applicability of the Kinect sensor for estimation of chinese cabbage fresh weight. The fresh weight of five chinese cabbage was measured and compared with estimates using the Kinect sensor. The estimates were obtained by scanning individual chinese cabbage to create point cloud, removing noise, and building a three dimensional model with a set of free software. It was found that the 3D model created using the Kinect sensor explained about 98.7% of variation in fresh weight of chinese cabbage. Furthermore, the correlation coefficient between estimates and measurements were highly significant, which suggested that the Kinect sensor would be applicable to estimation of fresh weight for chinese cabbage. Our results demonstrated that a depth sensor allows for a non-destructive sampling approach, which enables to collect observation data for crop fresh weight over time. This would help development and validation of a crop model using a large number of reliable data sets, which merits further studies on application of various depth sensors to crop dry weight measurements.
Keywords
Biomass; Chinese cabbage; Kinect; 3d model; Crop model;
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