Optical non-destructive techniques for small berry fruits: A review
Small berries including strawberry and blueberry are extensively consumed fruits with great economic values due to their characteristic flavor and appearance as well as potential health benefits. This review elaborated the optical non-destructive techniques viz. Vis-NIR spectroscopy, computer vision...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2019-06-01
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| Series: | Artificial Intelligence in Agriculture |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589721719300236 |
| _version_ | 1818965269769355264 |
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| author | Shuping Li Hongpei Luo Menghan Hu Miao Zhang Jianlin Feng Yangtai Liu Qingli Dong Baolin Liu |
| author_facet | Shuping Li Hongpei Luo Menghan Hu Miao Zhang Jianlin Feng Yangtai Liu Qingli Dong Baolin Liu |
| author_sort | Shuping Li |
| collection | DOAJ |
| description | Small berries including strawberry and blueberry are extensively consumed fruits with great economic values due to their characteristic flavor and appearance as well as potential health benefits. This review elaborated the optical non-destructive techniques viz. Vis-NIR spectroscopy, computer vision system, hyperspectral imaging, multispectral imaging, laser-induced method and thermal imaging, and their applications for quality and safety control of small berry fruits. The discussion regarding the photoacoustic technique, X-ray technique, Terahertz spectroscopy, odor imaging, micro-destructive testing and smart mobile terminal-based analyzer was also presented. Furthermore, we proposed our personal understanding of the technical challenges and further trends for these optical non-destructive techniques: 1) owing to the relatively low detection limit, the so-called micro-destructive techniques may be alternative to the traditional non-destructive techniques in both practical and fundamental research; 2) we suggest that the research articles like “collecting data first, and then modeling the relevant properties of agricultural products by machine learning” should be less produced in related fields. That's because such research methods are likely to be suspected of “cheating”. It is recommended that some modeling competitions can be carried out in the agricultural engineering field to avoid or reduce the “cheating” model. Keywords: Berry fruit, Optical non-destructive measurement, Food quality and safety |
| first_indexed | 2024-12-20T13:14:20Z |
| format | Article |
| id | doaj.art-eff6708f08c4444c89924ea1baba301a |
| institution | Directory Open Access Journal |
| issn | 2589-7217 |
| language | English |
| last_indexed | 2024-12-20T13:14:20Z |
| publishDate | 2019-06-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Artificial Intelligence in Agriculture |
| spelling | doaj.art-eff6708f08c4444c89924ea1baba301a2022-12-21T19:39:35ZengKeAi Communications Co., Ltd.Artificial Intelligence in Agriculture2589-72172019-06-0128598Optical non-destructive techniques for small berry fruits: A reviewShuping Li0Hongpei Luo1Menghan Hu2Miao Zhang3Jianlin Feng4Yangtai Liu5Qingli Dong6Baolin Liu7Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai 200241, China; Meng Xiancheng College of ECNU, East China Normal University, Shanghai 200241, ChinaSchool of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, 516 Jun Gong Rd., Shanghai 200093, ChinaShanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai 200241, China; School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, 516 Jun Gong Rd., Shanghai 200093, China; Corresponding author at: Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai 200241, China.Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai 200241, China; College of Fine Arts, East China Normal University, Shanghai 200241, ChinaShanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai 200241, ChinaSchool of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, 516 Jun Gong Rd., Shanghai 200093, ChinaSchool of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, 516 Jun Gong Rd., Shanghai 200093, ChinaSchool of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, 516 Jun Gong Rd., Shanghai 200093, ChinaSmall berries including strawberry and blueberry are extensively consumed fruits with great economic values due to their characteristic flavor and appearance as well as potential health benefits. This review elaborated the optical non-destructive techniques viz. Vis-NIR spectroscopy, computer vision system, hyperspectral imaging, multispectral imaging, laser-induced method and thermal imaging, and their applications for quality and safety control of small berry fruits. The discussion regarding the photoacoustic technique, X-ray technique, Terahertz spectroscopy, odor imaging, micro-destructive testing and smart mobile terminal-based analyzer was also presented. Furthermore, we proposed our personal understanding of the technical challenges and further trends for these optical non-destructive techniques: 1) owing to the relatively low detection limit, the so-called micro-destructive techniques may be alternative to the traditional non-destructive techniques in both practical and fundamental research; 2) we suggest that the research articles like “collecting data first, and then modeling the relevant properties of agricultural products by machine learning” should be less produced in related fields. That's because such research methods are likely to be suspected of “cheating”. It is recommended that some modeling competitions can be carried out in the agricultural engineering field to avoid or reduce the “cheating” model. Keywords: Berry fruit, Optical non-destructive measurement, Food quality and safetyhttp://www.sciencedirect.com/science/article/pii/S2589721719300236 |
| spellingShingle | Shuping Li Hongpei Luo Menghan Hu Miao Zhang Jianlin Feng Yangtai Liu Qingli Dong Baolin Liu Optical non-destructive techniques for small berry fruits: A review Artificial Intelligence in Agriculture |
| title | Optical non-destructive techniques for small berry fruits: A review |
| title_full | Optical non-destructive techniques for small berry fruits: A review |
| title_fullStr | Optical non-destructive techniques for small berry fruits: A review |
| title_full_unstemmed | Optical non-destructive techniques for small berry fruits: A review |
| title_short | Optical non-destructive techniques for small berry fruits: A review |
| title_sort | optical non destructive techniques for small berry fruits a review |
| url | http://www.sciencedirect.com/science/article/pii/S2589721719300236 |
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