Search Results - image analysis ((dea processing) OR (((rice processing) OR (image processing))))

Determination of broken rice percentage using image processing technique by Hanibah, Siti Sharifah Bibi

“…In this study, a new approach of image processing technique has been developed to detect and identify head and broken rice based on its physical properties i.e. area, perimeter, minor axis length and major axis length. …”
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Determination of physical rice composition using image processing technique by Bibi Hanibah, Siti Sharifah, Bejo, Siti Khairunniza, Wan Ismail, Wan Ishak, Wayayok, Aimrun

“…In this paper, a new approach of image processing technique has been developed to detect and identify head and broken rice based on its physical properties i.e. area, perimeter, minor axis length and major axis length. …”
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Monitoring the drying process of glutinous rice using hyperspectral imaging coupled with multivariate analysis by Jimoh, Kabiru Ayobami, Hashim, Norhashila, Shamsudin, Rosnah, Che Man, Hasfalina, Jahari, Mahirah

“…Therefore, the HSI coupled with multivariate analysis (CARS+PLS) is a potential technique for monitoring the drying process of glutinous rice on both small and industrial scales.…”
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Intelligent paddy rice color recognition suitable for harvesting: article / Athirah A. Rahim by A.Rahim, Athirah

“…Paddy rice images are then processed to produce the dominant RGB pixel indices in the primary color model. …”
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Intelligent paddy rice color recognition suitable for harvesting / Athirah A.Rahim by A.Rahim, Athirah

“…Paddy rice images are then processed to produce the dominant RGB pixel indices in the primary color model. …”
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Rapid and non-destructive monitoring of the drying process of glutinous rice using visible-near infrared hyperspectral imaging by Jimoh, Kabiru Ayobami, Hashim, Norhashila, Shamsudin, Rosnah, Che Man, Hasfalina, Jahari, Mahirah

“…The study showed that visible-near infrared hyperspectral imaging coupled with computational intelligence can be used to monitor the quality of glutinous rice during the drying process.…”
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Geostatistics and digital image analysis for optimizing rice production by Kodong, Frans Richard, Abdollah, Mohd Faizal, Othman, Mohd Fairuz Iskandar

“…Additionally, digital image processing and computer vision technologies are utilized to automate the assessment of nutrient adequacy based on leaf color analysis. …”
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Paddy leaf disease recognition system using image processing techniques and support vector machine / Hayatun Syamila Mamat, Nur Azwani Zaini and Suhaila Abd Halim … [et al.] by Mamat, Hayatun Syamila, Zaini, Nur Azwani, Abd Halim, Suhaila

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Development of a machine vision system for weedy rice seed identification by Ruslan, Rashidah

“…Each images is comprised of 15 rice seeds acquired on a seed plate. …”
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Hydro Thermo-Baric Processing and Properties of Nano Silica from Rice Husk by Benjamin Iyenagbe, U., Mamat, O.

“…To address this draw-back, a novel methodhydro thermo-baric process, was developed and used to process high purity silica from rice husk. …”
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Husk, bacterial leaf blight, and weedy rice classification in paddy seeds using imaging techniques by Jamil, Norazlida

“…In conclusion, the image processing techniques can be used to detect the impurities of paddy seeds caused by husks (using thermal imaging), BLB (using visible imaging), and WR (using visible imaging and physical properties). …”
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Energy dispersive X-ray microanalysis of elemental distribution in raw and germinated brown rice varieties by Ismail, Maznah, Abdul Hadi, Nordiana, Haroun, Rafiuz Zaman, Musa, Siti Nor Asma, Imam, Mustapha Umar

“…In this study, the mineral composition of germinated brown rice, brown rice, and white rice was evaluated. Brown rice grain was processed through a combination of chemical pretreatment and low oxygen treatment, after which germination was confirmed through imaging under a microscope. …”
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Detection of tungro disease in rice leaf in relation to nitrogen level using laser light backscattering imaging by Bachik, Nur Azizah

“…The data collection were carried out on youngest fully expanded leaf at where the readings were taken at three different location i.e. leaf tip, middle leaf and leaf base (4 cm interval). The images then were analyse using image processing toolbox, MatlabR2013a (The Mathworks, Inc. …”
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Assessment of rice leaf chlorophyll content using visible bands at different growth stages at both the leaf and canopy scale by Saberioon, Mohammadmehdi, Mohd Soom, Mohd Amin, Abdul Rahim, Anuar, Gholizadeh, Asa, Wayayok, Aimrun, Bejo, Siti Khairunniza

“…Additionally, results confirmed that a low cost LARS system would be well suited for high spatial and temporal resolution images and data analysis for proper assessment of key nutrients in rice farming in a fast, inexpensive and non-destructive way.…”
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Quality monitoring of glutinous rice processing from drying to extended storage using hyperspectral imaging by Ageh, Opeyemi Micheal, Dasore, Abhishek, Hashim, Norhashila, Shamsudin, Rosnah, Che Man, Hasfalina, Mohd Ali, Maimunah

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RiSe-IViS: rice seed inspection vision system by Ruslan, Rashidah, Bejo, Siti Khairunniza, Rukunudin, Ibni Hajar, Ibrahim, Mohd Firdaus, Aznan, Aimi Athirah

“…A user friendly graphical user interface (GUI) was developed to assist user for image acquisition and analysis. Analysis protocol was first developed based on the morphological features of the paddy seed and was tested for MR297 against weedy rice. …”
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Proportionality assessment of rice mills distribution against paddy production in Bangladesh: A GIS spatial analysis by Mohammed Aminul Ahesan, Tarmiji Masron

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Determination of chlorophyll and nitrogen content in rice leaves at various growth stages by Saberioon, Mohammadmehdi

“…Also conventional digital camera mounted to an UAV was used to acquire image over the rice canopy for verification purpose. …”
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Development of rice growth map using the advanced remote sensing techniques by Che'ya, Nik Norasma, Lee, Loong Shern, Ismail, Mohd Razi, Mohd Razali, Sheriza, Roslin, Nor Athirah, Omar, Mohamad Husni

“…The multispectral image is processed using OBIA to produce crop growth map. …”
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Study of characteristics of rice husk and silica obtained from rice husk by Zainal, Nur Saadah, Mohamad, Zaleha, Mustapa, Mohammad Sukri, Badarulzaman, Nur Azam, Abdul Salim, Zainathul Akhmar Salim, Masirin, Mohd Idrus

“…The characteristics of C3 samples can be acquired by using scanning electron microscopy (SEM), x-ray diffractometer (XRD) and thermogravimetric analysis (TGA). The SEM images showed the material was in agglomeration. …”
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