Design of a fuzzy logic-based plant quality estimation system based on morphological features | Faculty Open Information System

Design of a fuzzy logic-based plant quality estimation system based on morphological features

in International Symposium (poster summary), 國際研討會(摘要海報發表)
標題Design of a fuzzy logic-based plant quality estimation system based on morphological features
出版類型國際研討會(摘要海報發表)
出版年度2018
AuthorsChung-Liang Chang, 張仲良, Wei-Lun Fu 傅偉倫, & Jun-Yong Tian 田峻墉
出版日期May 28 2018 12:0
會議地點Jeju
其他編號0000
中文摘要

Automatic growth monitoring of plants technique is crucial for the development of biodiversity and innovative agriculture. Traditional manual recording mode is more complicated and time-consuming, which requires professional skills and expertise background, which is comparatively difficult for non-expert users. In this paper, the fuzzy logic inference method is adopted to estimate the growth quality of plant based on leaf area, leaf number, and the contour area of plant. The image processing technique is employed to conduct plant morphological measurement, including hue of transformation, edge detection, and color histogram. The proposed system has been tested and evaluated successfully in a plant growth chamber. The results show that the estimation error of proposed system is in the range of acceptance for plant quality modeling.

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