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Representing the Human Experts Judgment on Quality Indices of White Rice by Image Processing and Artificial Intelligence Techniques CIGR Journal
hosseinzadeh, bahram; Esmaeili, Zahra; Rostami, Sajad; Zareiforoush, Hemad.
In the present study, a grading system based on fuzzy logic was developed to simulate the behavior of an expert in the evaluation and classification of physical properties of rice grains (paddy) for pricing the product. Based on two desired quality indices in this study and the input linguistic variables of fuzzy grading system, 250 samples were prepared with different quality conditions which include all the possible states for the rice grains (paddy). Lighting and imaging were carried out from each 250 samples of rice products in the same condition. Image processing algorithm was conducted to extract geometric features and light intensity of grains and also fuzzy product pricing model was developed in MATLAB software. Fuzzy inference system was designed...
Tipo: Info:eu-repo/semantics/article
Ano: 2016 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/4022
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Investigation of energy inputs and CO2 emission for almond production using sensitivity analysis in Iran CIGR Journal
Salehi, Marzie; Maleki, Ali; ghasemi mobtaker, hasan; Rostami, Sajad; Shakeri, Hossein.
The objective of this study is to examine input–output energy and CO2 emission of almond production in Shahrekord region, Iran. This article presents a comprehensive picture of the current status of energy consumption and some energy indices like energy use efficiency, energy productivity, specific energy and net energy gain. Sensitivity analysis of energy was carried out using the marginal physical productivity (MPP) technique. For this propose data were collected from 29almond farms using a face to face questionnaire. The results revealed that total energy input for almond production was found to be 106.61GJ/ha where the electricity was the major energy consumer (59.58%). The direct energy shared about (50.98%) whereas the indirect energy did (49.02%)....
Tipo: Info:eu-repo/semantics/article Palavras-chave: Energy use; Energy efficiency; Cobb–douglas; Almond.
Ano: 2016 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3480
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