Search Results - (( develop processing rice algorithm ) OR ( java application customization algorithm ))
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1
Monitoring the drying process of glutinous rice using hyperspectral imaging coupled with multivariate analysis
Published 2024“…The model prediction performance shows an accuracy (R²P) of 0.9206 with RMSEP of 1.1410. Using CARS algorithm resulted in the selection of 21 optimal wavelengths that are highly associated with the moisture content of glutinous rice during the drying process and the developed PLS model based on the selected wavelength gave an increased model accuracy with R2CV and RMSECV of 0.9176 and 1.0986 respectively. …”
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2
Smart Agriculture Economics and Engineering: Unveiling the Innovation Behind AI-Enhanced Rice Farming
Published 2024“…Subsequently, the selected superior modified stacked ensemble MLR-SVR-based algorithms are utilized to forecast the 5-year future rice production for each low-middle and upper-middle Southeast Asia nation. …”
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3
Design and development of detection scheme using multiline image scanning for aerial mapping of a simulated rice paddy field and implemented on unmanned aerial vehicle / Mohamad Fa...
Published 2018“…Paddy field management is an important process to control the rice quality and quantity while boosting up the demand supply. …”
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4
Rapid and non-destructive monitoring of the drying process of glutinous rice using visible-near infrared hyperspectral imaging
Published 2025“…Rapid and non-invasive monitoring of the drying process of glutinous rice is crucial to ensure the effective production of desired dried grain. …”
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5
Design and development of detection scheme using multiline image scanning for aerial mapping of a simulated rice paddy field and implemented on unmanned aerial vehicle / Mohamad Fa...
Published 2018“…Paddy field management is an important process to control the rice quality and quantity while boosting up the demand supply. …”
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6
Neural Network Modeling And Optimization For Enzymatic Hydrolysis Of Xylose From Rice Straw
Published 2015“…In this thesis, enzymatic hydrolysis was utilized in the production of xylose from rice straw. The process model was developed by the modeling techniques using feed-forward artificial neural network (FANN) and optimized using both particle swarm optimization (PSO) and genetic algorithm (GA). …”
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7
Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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8
Hyperspectral imaging for detection of macronutrients retained in glutinous rice under different drying conditions
Published 2025“…Subsequently, predictive models were developed based on processed spectra for the detection of the macronutrients, which include protein content (PC), moisture content (MC), fat content (FC), and ash content (AC). …”
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9
Estimation of microclimate parameters on infestation rate of yellow stem borer (Scirpophaga incertulas) on MR297 rice variety
Published 2023“…The present study's finding recommends that rice farmers and entomologists develop a pest management program for yellow stem borer and stimulate research workers for sustainable bio-resource management. …”
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10
Non-linear modelling and control of a conveyor-belt grain dryer utilizing neuro-fuzzy systems
Published 2011“…Utilizing this dryer, a real-time experiment was conducted to dry paddy (rough rice) grains. Then, the input–output data collected from this experiment were presented to an ANFIS network to develop a control-oriented dryer model. …”
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11
Design & Development of a Robotic System Using LEGO Mindstorm
Published 2006“…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
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12
Design of intelligent control system and its application on fabricated conveyor belt grain dryer
Published 2011“…From all these tests, the simplified ANFIS controller has proved its remarkable ability in controlling the grain drying process represented by the developed ANFIS model.…”
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