Search Results - (( oil detection method algorithm ) OR ( based instruction age algorithm ))
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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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APPLICATION OF ANN AND GA FOR TRANSFORMER WINDING/ INSULATION FAULTS
Published 2007“…While, heuristic method of Genetic Algorithm is used to locate the optimal values to enhance the accuracy of fault detection. …”
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Final Year Project -
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Artificial neural networks and genetic algorithm for transformer winding/insulation faults
Published 2008“…The dissolved gas in oil analysis method is known to be an early fault detection method and enables to carry out diagnosis during online operation of the transformer. …”
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Oil spill detection and characterization from satellite image using artificial neural network algorithm
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Young and mature oil palm tree detection and counting using convolutional neural network deep learning method
Published 2019“…Detection and counting of oil palm are important in oil palm plantation management. …”
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Automatic detection of oil palm tree from UAV images based on the deep learning method
Published 2021“…The results show that the proposed method is more effective, accurate detection, and correctly counts the number of oil palm trees from the UAV images.…”
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Fractal dimension algorithm for detecting oil spills using RADARSAT-1 SAR
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Book Section -
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Image Based Oil Palm Tree Crowns Detection
Published 2020“…Image Based Oil Palm Tree Crowns Detection system is a basic system that enables the detection of oil palm tree crowns from red, green and blue (RGB) aerial images. …”
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Final Year Project Report / IMRAD -
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Oil palm tree detection and counting in aerial images based on faster R-CNN
Published 2020“…In this paper, we propose an oil palm tree detection and counting method based on the Faster Regions with Convolutional Neural Network algorithm (Faster R-CNN). …”
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Terahertz sensing analysis for early detection of ganoderma boninense disease using near infrared (NIR) spectrometer
Published 2023“…The non-destructive method using NIRS with ML and predictive analytics has the potential to be a highly sensitive and reliable method for the early detection of G. boninense. …”
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Enhanced faster region-based convolutional neural network for oil palm tree detection
Published 2021“…This study proposed a new deep learning method based on Faster RCNN for oil palm tree detection and counting. …”
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DEVELOPMENT OF NON-INVASIVE ULTRA-WIDEBAND ANTENNA ARRAY SENSORS FOR OIL PALM TRUNK HOLLOW DETECTION
Published 2021“…The proposed method is using MWI, with novel elliptical ultra-wideband (UWB) antenna, and robust time reversal (RTR) algorithm that offers the completed information about the dielectric properties of the oil palm trunk (OPT) applying for image reconstruction. …”
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FT-IR absorbance data for early detection of oil palm fungal disease infestation
Published 2012“…At present study, we propose to apply a mid-infrared spectroscopy technique for detection of infected oil palm trees at three stages of infection. …”
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Advances in remote sensing technology, machine learning and deep learning for marine oil spill detection, prediction and vulnerability assessment
Published 2020“…To date, different methods have been applied to distinguish oil spills from lookalikes with limited success. …”
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CORROSION DAMAGE ANALYSIS USING IMAGE PROCESSING
Published 2018“…This project focuses on early detection of pipelines and gas tanks corrosion in oil and gas. …”
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Final Year Project -
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Development of sorting system for oil palm in vitro shoots using machine vision approach
Published 2014“…A smart object tracking algorithm (SOTA) has been proposed for detecting and identifying the shoot on the conveyor belt. …”
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Thesis -
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Mid-infrared spectroscopy for early detection of basal stem rot disease in oil palm
Published 2014“…This verifies the potential of mid-infrared spectroscopy for Ganoderma detection in early symptomless stages of infection in oil palm.…”
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Processing and classification of landsat and sentinel images for oil palm plantation detection
Published 2022“…One of the capabilities of remote sensing is the detection of oil palm plantations. Therefore, this paper attempts to determine the best methods for image classification, especially for land cover classification of oil palm plantations. …”
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