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Leaf lesion classification (LLC) algorithm based on artificial bee colony (ABC)
Published 2015“…Results showed that the Leaf Lesion Classification (LLC) algorithm based on Artificial Bee colony (ABC) produced an average 96.83% of accuracy and average 1.66 milliseconds of processing time, indicating that LLC algorithm is better than algorithm such as Otsu, Canny, Roberts and Sobel. …”
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A matlab-based graphical user interface (GUI) to predict the food quality during frying process
Published 2022“…In this study, the colour and moisture content of French fries is studied during deep frying.The colour changes and moisture content were formulated by first order kinetic equation which was numerically solved by using the Runge Kutta fourth order method that was embedded with a parameter fitting technique called as Nelder-Mead algorithm in MATLAB software. The Arrhenius equation is used in this model. …”
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A novel framework for potato leaf disease detection using an efficient deep learning model
Published 2022“…© 2022 Taylor & Francis Group, LLC.…”
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A novel framework for potato leaf disease detection using an efficient deep learning model
Published 2022“…© 2022 Taylor & Francis Group, LLC.…”
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Distributed Multi-Feature Recognition Scheme for Greyscale Images
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