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AbstractFull Text

Many citrus fruits, such as tangerines in the country, are abandoned in orchards every year due to their low prices, causing great damage to the gardeners. On the other hand, the supply of homogeny product in terms of the amount ripeness, for the market, will be welcomed by the consumer and will...

Author(s)
Yazdanpanah, K.; Lorestani, A. N.; Sabzi, S.
Publisher
Shahrekord University Press, Shahrekord, Iran
Citation
Journal of Researches in Mechanics of Agricultural Machinery, 2020, 9, 1, pp fa89-fa98
Abstract

Classification of various types of fruits and identification of the grading of fruit is a burdensome challenge due to the mass production of fruit products. In order to distinguish and evaluate the quality of fruits more precisely, this paper presents a system that discriminates among four types of ...

Author(s)
Anuja Bhargava; Atul Bansal
Publisher
Springer, New York, USA
Citation
Food Analytical Methods, 2020, 13, 3, pp 751-761
Abstract

Quality assessment of agricultural products is one of the most important factors in promoting their marketability and waste control management. Image processing systems are new and non-destructive methods that have various applications in the agriculture sector, including product grading. The...

Author(s)
Jahanbakhshi, A.; Momeny, M.; Mahmoudi, M.; Zhang YuDong
Publisher
Elsevier Ltd, Amsterdam, Netherlands
Citation
Scientia Horticulturae, 2020, 263, pp 109133
Abstract

Detection of early decay caused by fungal infections in citrus fruit still remains one of the major problems in the post-harvest processing and automatic quality grading. A new combination algorithm by merging multispectral principal component image, bi-dimensional empirical mode decomposition and...

Author(s)
Li JiangBo; Zhang RuoYu; Li JingBin; Wang ZheLi; Zhang HaiLiang; Zhan BaiShao; Jiang YingLan
Publisher
Elsevier, Amsterdam, Netherlands
Citation
Postharvest Biology and Technology, 2019, 158, pp 110986
Abstract

The correlation between the physical properties of fruits such as their dimensions, projected areas, volume, and mass may assist in predicting fruit quality along with the development of post-harvest machinery. Thus, the present study aims to predict the mass of kinnow mandarin (Citrus reticulata...

Author(s)
Mahawar, M. K.; Bhushan Bibwe; Kirti Jalgaonkar; Ghodki, B. M.
Publisher
Wiley, Boston, USA
Citation
Journal of Food Process Engineering, 2019, 42, 5, pp e13079
Abstract

Author(s)
Blasco, J.; González González, M. G.; Chueca, P.; Cubero, S.; Aleixos, N.
Publisher
Burleigh Dodds Science Publishing Limited, Cambridge, UK
Citation
Robotics and automation for improving agriculture, 2019, pp 215-232
Abstract

Citrus greening is a devastating disease of citrus fruit trees, and at present, it is potential for greening diagnosis by hyperspectral imaging technique. This paper presents the results of a study conducted to explore the feasibility of diagnosis and classification of greening using hyperspectral...

Author(s)
Liu YanDe; Xiao HuaiChun; Sun XuDong; Zhu DanNing; Han RuBing; Ye LingYu; Wang JunGang; Ma KuiRong
Publisher
Chinese Society of Agricultural Engineering, Beijing, China
Citation
Transactions of the Chinese Society of Agricultural Engineering, 2018, 34, 3, pp 180-187
Abstract

To meet the demand of fruit farmers' timely grading of navel oranges, a set of navel orange postharvest field grading system was designed based on machine vision, which was composed of conveying system, visual system and sorting system. The size of navel orange, the number of surface defects and...

Author(s)
Wang Gan; Sun Li; Li XueMei; Zhang Ming; Lyu Qiang; Cai JianRong
Publisher
Editorial Department of Journal of Jiangsu University, Zhenjiang, China
Citation
Journal of Jiangsu University - Natural Science Edition, 2017, 38, 6, pp 672-676
Abstract

Using machine vision technology to grade oranges can ensure that only good-quality fruits are exported. One of the most prominent issues in the post-harvest processing of oranges is the efficient determination of skin defects with the intention of classifying the fruits depending on their external...

Author(s)
Thendral, R.; Suhasini, A.
Publisher
Current Science Association, Bangalore, India
Citation
Current Science, 2017, 112, 8, pp 1704-1711
AbstractFull Text

A key issue in fruit export is classification and sorting for acceptable marketing. In the present work, the image processing technique was employed to grade three varieties of oranges (Bam, Khooni and Thompson) separately. The reason for choosing this fruit as the object of the study was its...

Author(s)
Javadikia, H.; Sabzi, S.; Rabbani, H.
Publisher
Chinese Society of Agricultural Engineering, Beijing, China
Citation
International Journal of Agricultural and Biological Engineering , 2017, 10, 2, pp 132-139

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