Quantifying muskmelon fruit attributes with A-TEP-based model and machine vision measurement

作     者：CHANG Li-ying HE San-peng LIU Qian XIANG Jia-lin HUANG Dan-feng 

作者机构：School of Agriculture and BiologyShanghai Jiaotong University 

出 版 物：《Journal of Integrative Agriculture》 (农业科学学报（英文版）)

年 卷 期：2018年第17卷第6期

页      面：1369-1379页

核心收录：

学科分类：08[工学] 09[农学] 090201[农学-果树学] 0710[理学-生物学] 0832[工学-食品科学与工程（可授工学、农学学位）] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 1004[医学-公共卫生与预防医学(可授医学、理学学位)] 0905[农学-畜牧学] 0906[农学-兽医学] 080203[工学-机械设计及理论] 0901[农学-作物学] 0703[理学-化学] 0802[工学-机械工程] 0902[农学-园艺学] 0713[理学-生态学] 

基　　金：supported by the National Natural Science Foundation of China (31471411) the Shanghai Agriculture Applied Technology Development Program,China ((2017)3-8-4) 

主　　题：machine vision technology fruit attributes A-TEP skin netting coverage rate 

摘      要：In this study, we established a dynamic morphological model using the accumulated thermal effectiveness and photosynthetic active radiation （PAR） （A-TEP）, aiming to explore the relationship between muskmelon （Cucumis melo L.） fruit attributes and environmental factors. Muskmelon surface color was described by parameters of red, green, blue, hue, saturation and brightness （HSI）. Three characteristic parameters, gray level co-occurrence matrix （GLCM）, angular second moment （ASM）, entropy, contrast, and the coverage rate were used to describe the process of muskmelon fruit netting formation. ASM was not significant difference during muskmelon fruit growth. The number and deep of netting stripes gradually increased with fruit growth. Coverage rate increased rapidly for 15-30 d after pollination. The vertical and horizontal diameters of muskmelon fruit were followed a logistic curve. And root mean squared errors （RMSE） between the simulated and measured vertical and horizontal diameters were 3.527 and 4.696 mm, respectively. RMSE of red, green, blue, saturation and brightness were 0.999, 2.690, 2.992, 0.033 and 5.51, respectively, and the RMSE for entropy, contrast and coverage rates were 0.077, 0.063 and 0.015, respectively, indicating a well consistent between measured and simulated values.