Search Results - (( oil extraction method algorithm ) OR ( waste detection method algorithm ))
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Feature extraction from oil palm in vitro shoot images
Published 2010“…The algorithms and methods developed are robust and advanced enough to be used in combination with a machine vision algorithm and automation system. …”
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Semi-automatic oil palm tree counting from pleiades satellite imagery and airborne LiDAR / Nurul Syafiqah Khalid
Published 2020“…Therefore, the final output of tree crown shows the watershed transformation algorithm is the best method for use represented oil palm tree counting in the map which is the accuracy assessment is 38.9%.…”
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Evaluations of oil palm fresh fruit bunches maturity degree using multiband spectrometer
Published 2017“…The reflectance data of different wavelength bands incidence from 8 LED modules upon the oil palm FFB, were extracted by 4 different sensors of a spectrometer in laboratory experiment, for onward detailed analysis with machine learning algorithms in WEKA data mining tool. …”
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System identification of essential oil extraction system using non-linear autoregressive model with exogenous inputs (NARX) / Farahida Awadz
Published 2010“…The tests that been performed based on the essential oil extraction system by (Rahiman, 2009), show that the BPSO has the potential to become an effective method to determine the NARX model structure in the system identification model.…”
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An Embedded Machine Learning-Based Spoiled Leftover Food Detection Device for Multiclass Classification
Published 2024“…In conclusion, the work demonstrates a novel method for using machine learning algorithms to classify, identify, and predict the contamination level of leftover cooked food, contributing to reducing food waste generated primarily by Malaysians…”
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Model predictive control for steam distillation essential oil extraction process / Nazurah Tajjudin
Published 2014“…Steam distillation technique is a common method being used in essential oil production from botanical plants. …”
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RGB and RGNIR image dataset for machine learning in plastic waste detection
Published 2025“…The increasing volume of plastic waste is an environmental issue that demands effective sorting methods for different types of plastic. …”
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Intelligent Color Vision System For Ripeness Classification Of Oil Palm Fresh Fruit Bunch
Published 2015“…Then, the color features of the fruit region are extracted from the images and used as inputs to an Artificial Neural Network (ANN) model learning algorithm.…”
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Enhanced faster region-based convolutional neural network for oil palm tree detection
Published 2021“…However, traditional machine learning and image processing methods used handcrafted feature extraction methods. …”
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Fault detection and diagnosis for gas density monitoring using multivariate statistical process control
Published 2011“…Therefore, an efficient fault detection and diagnosis algorithm needs to be developed to detect faults that are present in a process and pinpoint the cause of these detected faults. …”
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PCB defect detection system using run-length encoding
Published 2017“…The secondary objective is to design run-length encoding algorithm able to detect and classify the defect of printed circuit board (PCB). …”
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Intelligent grading of agarwood essential oil quality using artificial neural network (ANN) / Noratikah Zawani Mahabob
Published 2022“…The oil is extracted from the stems of resin-impregnated agarwood trees. …”
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Oil palm maturity classifier using spectrometer and machine learning
Published 2021“…The quality of palm oil depends on fresh fruit bunch (FFB) ripeness level. …”
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Development of sorting system for oil palm in vitro shoots using machine vision approach
Published 2014“…In spite of high demand for palm oil, cheap mass-produced plantlets of oil palm have yet to reach an attractive price. …”
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Processing and classification of landsat and sentinel images for oil palm plantation detection
Published 2022“…The process includes the analysis of both supervised and unsupervised modules in terms of their contrast visual and reflectance spectral curve to find the best method of extracting the images’ features. In distinguishing oil palm trees, optimisation of the pre-processing of the images enables the extraction of useful information based on its spectral signature, before they are utilised as an input for the soft computing method. …”
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