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Relationship Between Degree of Starch Gelatinization and Quality Attributes of Parboiled Rice During Steaming 被引量:19
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作者 Ebrahim TAGHINEZHAD Mohammad Hadi KHOSHTAGHAZA +2 位作者 saeid minaei Toru SUZUKI Tom BRENNER 《Rice science》 SCIE CSCD 2016年第6期339-344,共6页
Paddy rice samples were parboiled by soaking at 65℃ for 180 min and steaming at 96℃ for 2–10 min,and then dried to achieve the final moisture content of 11% ± 1%. The degree of starch gelatinization (DSG) an... Paddy rice samples were parboiled by soaking at 65℃ for 180 min and steaming at 96℃ for 2–10 min,and then dried to achieve the final moisture content of 11% ± 1%. The degree of starch gelatinization (DSG) andseveral quality attributes (head rice yield (HRY), color value and hardness) of parboiled rice were measured.Results showed that DSG (46.8%–77.9%), color value (18.08–19.04) and hardness (118.6–219.2 N) allincreased following steaming. In contrast, the HRY increased (64.8%–67.1%) for steaming times between 2–4min but decreased (67.1%–65.0%) for steaming times between 4–10 min. Linear relations between DSG andcolor value (R2 = 0.87), and DSG and hardness (R2 = 0.88) were observed. The suitable DSG of parboiled riceleading to the highest HRY was found to be 62.5%, obtained following 4 min of steaming. 展开更多
关键词 parboiling process RICE head rice yield color value HARDNESS degree of starch gelatinization
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Optimal site selection for geothermal heated greenhouses in cold climates:a fuzzy logic and geographic information system approach
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作者 Amirhossein Mirabadi saeid minaei +1 位作者 Younes Noorollahi Morteza Almasi 《Clean Energy》 EI CSCD 2024年第2期8-26,共19页
This paper presents a comprehensive model for selecting optimal sites for geothermal heated greenhouses in the agricultural industry.The research involves two main components:assessing the geothermal energy resource u... This paper presents a comprehensive model for selecting optimal sites for geothermal heated greenhouses in the agricultural industry.The research involves two main components:assessing the geothermal energy resource using geological,geochemical and geophysical indicators;and developing a siting model based on fuzzy logic that considers technical,environmental and socio-economic factors.The study focuses on East Azerbaijan province in Iran-a cold region.The results indicate that~3.24%of the total area of the province is suitable for constructing geothermal greenhouses,resulting in potential savings of~148000 and 745978 m3 of natural gas in areas with high and very high suitability,respectively. 展开更多
关键词 geothermal energy site selection GIS fuzzy logic resource assessment
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An intelligent system for egg quality classification based on visible-infrared transmittance spectroscopy 被引量:9
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作者 Saman Abdanan Mehdizadeh saeid minaei +1 位作者 Nigel H.Hancock Mohamad Amir Karimi Torshizi 《Information Processing in Agriculture》 EI 2014年第2期105-114,共10页
The potential of the visible infrared(Vis–IR)(400–1100 nm)transmittance method to assess the internal quality(freshness)of intact chicken egg during storage at a temperature of 30±7C and 25±4%relative hum... The potential of the visible infrared(Vis–IR)(400–1100 nm)transmittance method to assess the internal quality(freshness)of intact chicken egg during storage at a temperature of 30±7C and 25±4%relative humidity was investigated.Two hundred chicken egg samples were used for measuring freshness and spectra collection during egg storage(up to 25 days).Two correlation models,firstly between Haugh unit(HU)and storage time,and secondly between the yolk coefficient(YC)and storage time,were developed and yielded correlation coefficients(R^2)of 0.86 and 0.96,respectively.These models spanned the period for which egg quality decreased dramatically and are statistically significant(P<0.05).In addition,to reduce the dimensionality of the spectra and extract effective wavelengths,two methods were developed based on principal component analysis(PCA)and a genetic algorithm(GA).The output of PCA and GA were also used comparatively to design an egg quality intelligent system.The result of the analyses indicated that identification ratio of GAwith fast Fourier transform(FFT)preprocessing was superior to other methods,and that the quality classification rates of this method for one-day-old eggs are 100%.This study shows that identification of an egg’s freshness using NIR spectroscopy with GA and artificial neural network(ANN)is reliable. 展开更多
关键词 Egg classification SPECTROSCOPY Principal component analysis Genetic algorithm
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