立体视
干重
估计
数学
人工智能
计算机科学
园艺
工程类
生物
系统工程
作者
Nuttapong Chimwai,Saiyan Saiyod,Ruttikorn Varakulsiripunth
标识
DOI:10.1109/icbir57571.2023.10147436
摘要
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.
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