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The Evaluation of Drying Qualities of Tea Dryers in Taiwan
( Cheng-hou Chang ),( Suming Chen ),( Chao-yin Tsai ),( Kuo-chih Tung ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1
Tea drying is a necessary process of tea manufacturing to prevent deterioration, stabilize the tea quality, and to facilitate packaging and storage. Therefore, the tea dryer is an essential equipment for the tea industry; and the tea drying quality is an index to evaluate tea dryers. In this study, four types of tea dryers were used to conduct tea leaves drying experiments. Four tests of sensory evaluation, color analysis, soluble ingredients analysis and chemical composition analysis were used to evaluate the drying quality of the tea dryers. The experiment results showed that the vacuum roller dryer (VRD) in the overall tea drying qualities had a better evaluation, the next were low-humidity dryer (LHD) and multiple-layer conveyer dryer (MLD), the electric hot air dryer (HAD) was worst among all tea dryers. The comprehensive evaluation of tea drying qualities were investigated using area analysis of radar chart which were VRD (2.38) > LHD (2.15) > MLD(2.12) > HAD(2.06). Therefore, the vacuum drying with moderate stirring could improve qualities of tea drying. Based on the results of this study, tea farmers or makers can choose the proper dryer, and tea equipment manufacturers can improve and enhance the performance of tea dryers
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Development of a Sorting System for Inspection of Mushroom Mycelium Growth
( Vivian Liao ),( Suming Chen ),( Chao-yin Tsai ),( Kuang-wen Hsieh ),( Kuo-chih Tung ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1
Mushroom cultivation is one of the important industries in Taiwan's agriculture. In current mushroom cultivation process, which includes spawn production, substrate preparation & bottling, inoculation, spawning, scratching, fruiting, harvest and packing, required a large amount of labor. In this research, the improvement in fault inspection for spawn level and bacterial infection before scratching process was conducted. The aim of this research is to establish an inspection system using machine vision, pneumatic mechanism and Programmable Logic Controller (PLC). First, an experiment-used small lighting chamber was made to study the image processing method, which can get the development (expansion) of self-made simulated samples from its side view image. The accuracy to recognize the fault in self-made simulated samples is up to 99.9%. In real cultivation bottle samples fault inspection, it spent for about 10 seconds and can get well recognition. A prototype of sorting system has also been established to conduct the inspecting process and remove bottles with fault conditions of spawn level and bacterial infection.
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