2012 IEEE Control and System Graduate Research Colloquium 2012
DOI: 10.1109/icsgrc.2012.6287196
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A statistical approach for orchid disease identification using RGB color

Abstract: This paper presented a statistical approach for recognition of orchid diseases using RGB color analysis. As for features, the scale infection and black leaf spot disease of the orchid have been chosen in this study. Orchid plant with these two category disease samples were taken from a local home orchid collector and captured using digital camera in a controlled environment. The RGB components are extracted as features and statistical analysis specifically error plot and T-Test are utilized for differentiation… Show more

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Cited by 16 publications
(7 citation statements)
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“…According to our results, the RGB colour analysis originating from IR thermal imaging reflects “pre-emptively” the orientation of the inner impairment of pea seeds caused by the hidden pest. Our results confirm the findings of Tuhid et al [ 22 ], who analysed RGB components stemming from plant surfaces in order to differentiate between orchids infected by phytopathogen, and their findings showed that the proposed method is capable of detecting the disease as well as some diseases categorised into different groups. The enzymatic processes involving heat production by the seed [ 23 ] as well as its differences caused by stressors could be detected by IR thermal imaging.…”
Section: Discussionsupporting
confidence: 91%
“…According to our results, the RGB colour analysis originating from IR thermal imaging reflects “pre-emptively” the orientation of the inner impairment of pea seeds caused by the hidden pest. Our results confirm the findings of Tuhid et al [ 22 ], who analysed RGB components stemming from plant surfaces in order to differentiate between orchids infected by phytopathogen, and their findings showed that the proposed method is capable of detecting the disease as well as some diseases categorised into different groups. The enzymatic processes involving heat production by the seed [ 23 ] as well as its differences caused by stressors could be detected by IR thermal imaging.…”
Section: Discussionsupporting
confidence: 91%
“…1). The standard deviation approach is generally influenced by the distribution of data values for each character of the R (red), G (Green), and (Blue) bands [15][16][17]. This approach was carried out by taking a logical approach to the calculation results of the statistical values and then grouping the selected vegetation type [17].…”
Section: Vegetation Sampling and Mappingmentioning
confidence: 99%
“…Successful control of siphoned water movement depends on receiving accurate real-time inlet and outlet flow rate of the water relayed by the sensors installed in the system and, most importantly, on instantaneous data acquisition from the fog server. 8 Moreover, aquaponics NFT system requires continuous flow of water. Hence, the monitoring and controlling of water flow is a very important aspect.…”
Section: Nutrient Film (Nft)mentioning
confidence: 99%