| Application Dept. |
Dept. of Soil Environmental Sciences |
| Principal Investigator |
Distinguished Prof. Yao-Tung Lin ( Personal Webpage ) |
| Project Title |
Innovative Intelligent Image-recognition System for Automatic Judgement of Biological Indicators of Fruits and Vegetables |
| Co-Principal Investigator |
Prof. Jiunn-Lin Wu, Dept. of Computer Science & Engineering |
| Co-Investigator |
1. Prof. Lin-Huey Ling, Dept. of Horticulture 2. Prof. Pin Han, G. I. of Precision Engineering |
| Abstract |
Taiwan′s domestic sales of vegetables and fruits account for 96% of the total output, with an annual output value of NT $ 163.8 billion. If the export ratio is increased to 50%, the annual output value of vegetables and fruits can reach NT $ 800 billion, which will increase the output value by nearly 3 to 10 times. Dilemma. The main reason for the low proportion of fruit exports is that the maturity of harvested vegetables and fruits in the field can not be uniform, which causes the consumption process to cause excessive corruption. This plan will establish a unique and innovative intelligent fruit and vegetable color / maturity identification system, based on traditional agricultural Lab big data, combining advanced optical technology and AI artificial intelligence deep learning functions, to automatically capture digital color images of vegetable and fruit skins, replacing traditional vegetables and fruits The color recognition system and the artificial intelligence deep learning system link the physiological characteristics of vegetables and fruits, so as to accurately determine the ripening degree and physiological indicators of vegetables and fruits in real time, and greatly increase the output value of vegetables and fruits. |
