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Wang X.,Hunan Biological and Electromechanical Polytechnic | Liu J.J.,Changsha University of Science and Technology
Applied Mechanics and Materials | Year: 2014

Building a resource-conserving and environment-friendly industrial system not only conforms to the external demand of the international economic environment changes, but also meets the internal needs of the domestic economic transformation and the adjustment of economic growth pattern. It is also an inevitable requirement to realize two-oriented society in Hunan province. This paper expound the necessity of constructing two-oriented industry system from the respects of relations between different fields and the development trend, and explore the constructing ideas of two-oriented industrial system in Hunan province. © (2014) Trans Tech Publications, Switzerland. Source


Cao L.,Hunan Biological and Electromechanical Polytechnic | Wen Z.,Hunan Agricultural University | Shen L.,Hunan Agricultural University
Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery | Year: 2010

Non-destructive detection methods of sugar content and valid acidity of Gongchuan Wenzhou citrus fruits were investigated based on computer vision. Factors which influenced the accuracy of detection were studied. Citrus fruit images from computer vision system were cut, the background was removed and conversion from RGB to HSI space was made. These images were segmented according to hue value ranges which are 0°-20°, 20°-40°, 40°-60°, 60°-80°, 80°-100° and 100°-120° hue. Fractal dimensions of each segment were calculated as inputs of BP neural network which modeled sugar content and valid acidity of citrus fruits. Results of 167 test samples showed the correctness for accuracy ±1.5°Brix of sugar content is 66.6175%, for valid acidity, the correctness for accuracy ±0.5 is 73.9275%. From these results it concluded that sugar content and valid acidity of Gongchuan Wenzhou citrus fruits has significant correlation with fractal dimension of hue value of fruit pericarp. Computer vision can be utilized to non-destructively detect these two parameters. Source


Cao L.,Hunan Biological and Electromechanical Polytechnic
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | Year: 2010

Citrus fruit variety recognition is an important issue for automated operations including diseases and insect pests prevention and cure, fertilization management and fruit picking. In order to evaluate the feasibility of automatic recognition of various fruits, samples of the citrus unshiu Marc.cv. unbergii Nakai, Skaggs Bonanza Navel orange and Luxi seedless Ponkan were studied. Images of calyx surfaces and the profile were acquired from sample fruits. Pixel numbers of fruit image contour and region were used as the perimeters and areas of fruits, and fractal dimensions of fruits were obtained by the perimeter-area method. Perimeters, areas and fractal dimensions were taken as the character values of three varieties of citrus fruits. A wavelet neural network model was presented to recognize different type of fruits based on these character values. The results showed that the correctnesses of the citrus unshiu Marc.cv. unbergii Nakai, Skaggs Bonanza Navel orange and Luxi seedless Ponkan were 95%, 95%, 97.5%, respectively. From the results we conclude that these three cultivars of citrus fruits can be automatically recognized and have a high correctness with three character values. Source


Wang J.,Hunan Biological and Electromechanical Polytechnic
Applied Mechanics and Materials | Year: 2013

In recent years, green economy is promoting global economic growth mode transformation with its powerful strength. China is no exception, and agreed to construct a demonstration region of the CHANGSHA-ZHUZHOU-XIANGTAN city-cluster in Hunan province. The region is named Two-oriented society which is resource-saving and environment-friendly. The paper studied High-tech small and medium enterprises (SMEs), which are the main body of the implementation of the Two-oriented society, analyzed of the interaction between the green economy, as well as two types of social construction and SMEs. Through these studies, we concluded those SMEs and government how to achieve environmental and economic interest's win-win model in the two-oriented society construction process. © (2013) Trans Tech Publications, Switzerland. Source


Wen Z.,Hunan Agricultural University | Cao L.,Hunan Biological and Electromechanical Polytechnic
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery | Year: 2014

The investigation proposed a new algorithm to automatize the identification process of pests and insects disease of Citrus reticulata Blanco var. Ponkan, in which multi-fractal spectra of image hue were set as inputs of wavelet neural network model. In the new algorithm, image boundary of damage pattern of Ponkan was extracted with improved watershed algorithm, and discontinuous boundary was processed with boundary following, meanwhile over-segmentation region was merged and boundary was marked, at last, damage pattern image was generated. After the work above, firstly, hue range 0°~120° of damage pattern image was equally segmented into 4 regions to generate 4 binary images. And then these binary images were analyzed by multi-fractal method to calculate the widths and heights of multi-fractal spectra of scale invariance region. In the end, the widths and heights of multi-fractal spectra were set as the inputs of wavelet neural network model to identify the pest and insects disease of citrus fruit. Test results showed that the accurate rate of identification of 5 pests and insects disease is about 87%, which means that widths and heights of multi-fractal spectra are sufficient to characterize the damage pattern of citrus fruit, and this method is applicable in machine automatic recognition for pests and insects disease of citrus fruit. Source

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