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Image Processing Methods for Measurement of Lettuce Fresh Weight
논문 개요
| 기관명 | NDSL |
|---|---|
| 저널명 | 바이오시스템공학 = Journal of biosystems engineering |
| ISSN | 1738-1266, |
| ISBN |
논문저자 및 소속기관 정보
| 저자(한글) | Jung, Dae-Hyun,Park, Soo Hyun,Han, Xiong Zhe,Kim, Hak-Jin |
|---|---|
| 저자(영문) | |
| 소속기관 | |
| 소속기관(영문) | |
| 출판인 | |
| 간행물 번호 | |
| 발행연도 | 2015-01-01 |
| 초록 | Purpose: Machine vision-based image processing methods can be useful for estimating the fresh weight of plants. This study analyzes the ability of two different image processing methods, i.e., morphological and pixel-value analysis methods, to measure the fresh weight of lettuce grown in a closed hydroponic system. Methods: Polynomial calibration models are developed to relate the number of pixels in images of leaf areas determined by the image processing methods to actual fresh weights of lettuce measured with a digital scale. The study analyzes the ability of the machine vision- based calibration models to predict the fresh weights of lettuce. Results: The coefficients of determination ( gt; 0.93) and standard error of prediction (SEP) values ( |
| 원문URL | http://click.ndsl.kr/servlet/OpenAPIDetailView?keyValue=03553784&target=NART&cn=JAKO201509139907100 |
| 첨부파일 |
추가정보
| 과학기술표준분류 | |
|---|---|
| ICT 기술분류 | |
| DDC 분류 | |
| 주제어 (키워드) | Fresh weight,Hydroponics,Image processing,Leaf area,Lettuce |