Title of Project:
Tomato Flower Detection Using Image Processing Method with Python
Members :
- Department of Biomechatronic Engineering
- Asst. Prof. Dr. Pomin Li
- Department of Tropical Agriculture and International Cooperation
- Postgraduates, Mr. Wei-Hsiang Lin
- Graduates, Mr. Shu-Yu Mu
Invited International Teacher:
- Department of Information Technology
- Asst. Prof. Dr. Sasalak Tongkaw
Content of Research or Internship:
- Using Image processing technology to detect tomato flower.
- Using machine learning technology to classify tomato flower count and detect chemical spray.
- Using machine learning technology to figure out the position of targeted tomato flower for chemical spray by robot.
Description of Performance:
The work has been successfully carried out under the schedule and the result received by using OpenCV and image processing method
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