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Tribological properties of onion like fullerenes and NiFe
Ruixiang WANG,Yihao ZHANG,Haizhou WU
《能源前沿（英文）》 2021年 第15卷 第1期 页码 208-212 doi: 10.1007/s11708-017-0454-x
关键词： refrigeration lubricants friction coefficient nano-composites reciprocating motion onion like fullerenes
Development of real-time onion disease monitoring system using image acquisition
Du-Han KIM, Kyeong-Hwan LEE, Chang-Hyun CHOI, Tae-Hyun CHOI, Yong-Joo KIM
《农业科学与工程前沿（英文）》 2018年 第5卷 第4期 页码 469-474 doi: 10.15302/J-FASE-2018213
In this study, real-time disease monitoring was conducted on onion which is the most representative crop in Republic of Korea, using an image acquisition system newly developed for the mobile measurement of phenotype. The purpose of this study was to improve the accuracy of prediction of disease and state variables by processing images acquired from monitoring. The image acquisition system was consisted of two parts, a motorized driving system and a PTZ (pan, tilt and zoom) camera to take images of the plants. The acquired images were processed as follows. Noise was removed through an image filter and RGB (red, green and blue) colors were converted to HSV (hue, saturation and value), which enabled thresholding of areas with different colors and properties for image binarization by comparing the color of onion leaf with ambient areas. Four objects with the most significant browning in the onion leaf to the naked eye were selected as the samples for data acquired. The thresholding method with image processing was found to be superior to the naked eye in identifying accurate disease areas. In addition, it was found that the incidence of disease was different in each disease area ratio. As a result, the use of image acquisition system in image processing analysis will enable more prompt detection of any changes in the onion and monitoring of disease outbreaks during the crop lifecycle.
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