The article raises the issue of climate warming without loss of harvesting dry short-stalked crops will increase, and requires an urgent technological and technical solution. Research aimed at the development of a device installed in an inclined chamber, providing a reduction in grain losses during harvesting of dry short-stalked grain mass, is relevant and of great economic importance. The aim of the study was to increase the efficiency of harvesting dry short-stalked crops due to the uniform distribution of threshed grain mass supplied to the combine harvester. And the scientific hypothesis of the study was to increase the efficiency of a single-drum combine harvester by threshing dry short-stalked breads, by ensuring a uniform layer of grain mass entering the local government. The results showed that the threshing of grain increases due to the uniform distribution of mass depending on the length of the discrete part of the corrugation. The results of the experiment are obtained.
The article considers the methods, procedures and results of experimental studies of the main egg quality indicators. The offered express methods and the automated installation provide definition of the weight, the form and density of egg. Based on the results of experimental studies of egg parameters, the express method of determining the volume of the egg through the area of the longitudinal section and the small diameter of the egg is substantiated. The express method for density determination by direct mass measurement and volume calculation gives minimal absolute error and provides a six time increase in performance, compared to the direct method.
The paper presents approach for egg defects assessment using image analysis. An algorithm for indirect egg defect recognition using image processing is proposed. The values of the egg samples are collected by image processing. HSV and YIQ color spaces are used for egg defects recognition. The paper presents also a developed graphical user interface for recognizing defective eggs in the MATLAB environment, based on computer vision. The interface is modular, which allows upgrade of the procedures and algorithms that are used. The experimental results show that the accuracy with YIQ color model is better than the HSV color model for the purpose of recognition. Accuracy ranges is less than 5%.
Жаңартылатын энергия көздеріне (ЖЭК) әлемдік сұраныс үнемі өсіп келеді. 2050 жылға қарай жаһандық энергетикалық теңгерімдегі олардың үлесінің ұлғаюы 35%-ға дейін болжанып отыр, ал дамыған елдердегі олардың өсу қарқыны 2050 жылға қарай дәстүрлі энергиямен қамтамасыз етудің 70% алмастыра алады. Осыған байланысты барлық дамыған елдерде баламалы энергетикаға байланысты бағдарламалар әзірленіп, іске асырылуда. Оның тартымдылығы ресурстардың сарқылмауынан, әлемдік энергия нарықтарындағы баға конъюнктурасынан, сондайақ, экологиялық тазалығынан туындайды. ЖЭК-нің осындай артықшылықтары – шет елдерде жаңартылатын энергетиканың қарқынды дамуына және алдағы онжылдықтардағы оның перспективаларына қатысты өте оптимистік болжамдарға себеп болды.
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