2012 ©
             Publication
Journal Publication
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  
     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
615020083-9 Mr. NUTTAPONG CHIMWAI [Main Author]
College of Computing Master's Degree

Peer Review Status มีผู้ประเมินอิสระ 
Level of Conference นานาชาติ 
Type of Proceeding Full paper 
Type of Presentation Oral 
Part of thesis true 
Presentation awarding false 
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