Image analysis to predict the maturity index of strawberries

Q3 Agricultural and Biological Sciences

Advances in horticultural science Pub Date : 2023-02-21 DOI:10.36253/ahsc-13856

Antonia Corvino, R. Romaniello, M. Palumbo, I. Ricci, M. Cefola, S. Pelosi, B. Pace

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引用次数: 0

Abstract

Traditionally, strawberries are harvested manually when the typical colour of the cultivar does not reach at least 80% of the surface. The focus of this research activity is to develop an automatic system based on image analysis in order to objectively define the optimal harvest time. Strawberries (cv. Sabrosa), with different degrees of maturation, were analyzed in four different harvesting periods and subsequently selected and classified, based on the ripening percentage, in three maturity classes: R0-25, R50-70 and R75-100. Each class of 10 strawberries, evaluated in triplicate, was subjected to image analysis and physiological and qualitative evaluation by measuring the following parameters: respiration rate, pH, total soluble solids content, and titratable acidity. The images captured, by a digital camera, were processed using Matlab® software and all the data found were supported by multivariate analysis. The image processing has made it possible to create an algorithm measuring objectively the percentage and the saturation level of red assigning the fruits to each class. Principal component analysis shows that discriminating parameters are the Chroma and the red Area, then used in a Partial Last Square Regression (PLSR) model to predict the TSS/TA ratio with R2 of 0.7 and 0.6 for calibration and validation set, respectively.

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图像分析预测草莓成熟指数

传统上，当草莓品种的典型颜色没有达到至少80%的表面时，就需要人工采摘。本研究的重点是开发一个基于图像分析的自动系统，以客观地确定最佳收获时间。草莓(简历。对不同成熟度的Sabrosa)进行了4个不同采收期的分析，并根据成熟率进行了选择和分类，分为R0-25、R50-70和R75-100三个成熟度等级。每类10个草莓，分三份评估，通过测量以下参数进行图像分析和生理和定性评价:呼吸速率、pH、总可溶性固形物含量和可滴定酸度。数码相机拍摄的图像使用Matlab®软件进行处理，发现的所有数据均采用多元分析支持。图像处理使得创建一种算法成为可能，该算法客观地测量红色的百分比和饱和度，将水果分配到每个类别。主成分分析表明，判别参数为色度(Chroma)和红面积(red Area)，利用PLSR模型预测校准集和验证集的TSS/TA比，R2分别为0.7和0.6。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Advances in horticultural science Agricultural and Biological Sciences-Horticulture

CiteScore

1.20

自引率

0.00%

发文量

审稿时长

12 weeks

期刊介绍： Advances in Horticultural Science aims to provide a forum for original investigations in horticulture, viticulture and oliviculture. The journal publishes fully refereed papers which cover applied and theoretical approaches to the most recent studies of all areas of horticulture - fruit growing, vegetable growing, viticulture, floriculture, medicinal plants, ornamental gardening, garden and landscape architecture, in temperate, subtropical and tropical regions. Papers on horticultural aspects of agronomic, breeding, biotechnology, entomology, irrigation and plant stress physiology, plant nutrition, plant protection, plant pathology, and pre and post harvest physiology, are also welcomed. The journal scope is the promotion of a sustainable increase of the quantity and quality of horticultural products and the transfer of the new knowledge in the field. Papers should report original research, should be methodologically sound and of relevance to the international scientific community. AHS publishes three types of manuscripts: Full-length - short note - review papers. Papers are published in English.