ISHS Acta Horticulturae 440: International Symposium on Plant Production in Closed Ecosystems
FINITE ELEMENT RETINA FOR PLANT GROWTH MONITORING |
| Authors: | H. Murase, Y. Nishiura |
| Keywords: | computer vision, feature extraction, finite element method, image compression, numerical retina |
| Abstract:
Implementing the speaking plant approach and increasing knowledge of the response of plants to their environment is creating new paradigm for plant environmental control. Plant environment should be controlled based upon the plant status responding to the environmental conditions. The development of bio-response feedback control system has been a challenging task for plant production engineers and scientists. In order to achieve the aim of developing such a bio-response feedback control system, the primary concern should be to develop a practical non invasive technique for monitoring the growth of plants. It may be possible to recognize changes in some kind of indices that describe plant growth status from the appearance of growing plants by machine vision. The interpretation of image information of plants can possibly be done based on image features extracted from the original pictorial image. This study focused its interest on techniques of extracting non-geometric image features. The finite element method was introduced as an information processing tool for image feature extraction. The finite element application in image processing features a unique image data compression which is apparently similar to the function of human retina. | |
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