Research Title |
Fresh Weight Estimation of Lettuce Using 3D Stereoscopic Technique |
Date of Distribution |
19 May 2023 |
Conference |
Title of the Conference |
The 8th International Conference on Business and Industrial Research (ICBIR2023) |
Organiser |
Thai-Nichi Institute of Technology (TNI) และ Technology Promotion Association (Thailand-Japan) |
Conference Place |
Thai-Nichi Institute of Technology (TNI) |
Province/State |
กรุงเทพมหานคร |
Conference Date |
18 May 2023 |
To |
19 May 2023 |
Proceeding Paper |
Volume |
ICBIR2023 |
Issue |
8th |
Page |
Paper Id : 1570865367 |
Editors/edition/publisher |
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Abstract |
The fresh weight gain of lettuce is an indication of growth. Therefore, fresh weighing is used in the growth monitoring process in order to analyze health and predict the optimal harvesting time. The study found that the current fresh weight estimation could be done by a digital image processing method that did not disturb the plant and was fast. In this paper, a new method for the fresh weight estimation of lettuce using a 3D stereoscopic technique was proposed by creating a 3D spatial domain from stereo images. The fresh weight of lettuce was estimated by the sum of the area in each surface layer. The estimated fresh weight (grams) of lettuce was consistent with the actual weight (grams), with a correlation coefficient of 0.98 and an RMSE of 2.42. The result showed that a 3D stereoscopic technique could be used as a tool to estimate the fresh weight of lettuce for monitor the plant growth, analyze the plant health, and predict the optimal harvesting time. |
Author |
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Peer Review Status |
มีผู้ประเมินอิสระ |
Level of Conference |
นานาชาติ |
Type of Proceeding |
Full paper |
Type of Presentation |
Oral |
Part of thesis |
true |
Presentation awarding |
false |
Attach file |
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Citation |
0
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