Taiwan Agricultural Mechanization Research and Development Center

Taipei, Taiwan

Taiwan Agricultural Mechanization Research and Development Center

Taipei, Taiwan

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Yang I.-C.,University of Maryland University College | Tsai C.-Y.,National Taiwan University | Hsieh K.-W.,National Chung Hsing University | Yang C.-W.,National Taiwan University | And 4 more authors.
Journal of Food and Drug Analysis | Year: 2013

The recognition, control, and monitoring of herbal medicinal materials is a crucial work and challenge in the pharmaceutical industry. Consequently, the development of a rapid and accurate inspection method and model is an important goal and job. The raw materials of a variety of herbal medicines were measured using nondestructive near-infrared spectroscopy with soft independent modeling of class analogy to build up the classification model. The adulterated samples could be eliminated by the analysis of the model, and identification rates were demonstrated in the range of 98-100%. The method could be applied not only to the pharmaceutical industry but also to the food industry. Food materials can be measured with the inspection model for effective identification and determination of adulteration. Copyright © 2013, Food and Drug Administration, Taiwan. Published by Elsevier Taiwan LLC. All rights reserved.


Yang I.-C.,Taiwan Agricultural Mechanization Research and Development Center | Hsieh K.-W.,National Chung Hsing University | Tsai C.-Y.,National Taiwan University | Huang Y.-I.,National Chung Hsing University | And 3 more authors.
Engineering in Agriculture, Environment and Food | Year: 2014

More and more crops are grown in greenhouses, and crop growth status monitoring is equally important as field-grown crops. An automation system based-on multi-spectral imaging and mobile environmental factor sensing has been developed and operated. To obtain necessary spectral image information of seedling growth status on greenhouse benches, a series of image processing procedures was developed. The study also explored the applications of the radio frequency identification (RFID) system to construct a traceability system for seedling production in greenhouse. Days of seedlings growth can be calculated estimating the PLAI of the plant-oriented multi-spectral images with R 2 = 0.989. Appropriate irrigation level could be estimated using different indices with environmental factors. Greenhouse cultivation is a site-specific management illustrated by precision integration. © 2013, Asian Agricultural and Biological Engineering Association.

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