دورية أكاديمية
Research Progress of Sensing Detection and Monitoring Technology for Fruit and Vegetable Quality Control
| العنوان: | Research Progress of Sensing Detection and Monitoring Technology for Fruit and Vegetable Quality Control |
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| المؤلفون: | GUO Zhiming, WANG Junyi, SONG Ye, ZOU Xiaobo, CAI Jianrong |
| المصدر: | 智慧农业, Vol 3, Iss 4, Pp 14-28 (2021) |
| بيانات النشر: | Editorial Office of Smart Agriculture, 2021. |
| سنة النشر: | 2021 |
| المجموعة: | LCC:Agriculture (General) LCC:Technology (General) |
| مصطلحات موضوعية: | intelligent perception, nondestructive detection, quality deterioration, internet of things, machine vision, hyperspectral, near-infrared, raman spectroscopy, electronic nose, Agriculture (General), S1-972, Technology (General), T1-995 |
| الوصف: | Vegetable and fruit planting areas and products of China have always ranked first in the world, and the vegetable and fruit industry is respectively the second and third largest agricultural planting industry after grain. Vegetables and fruits are prone to quality deterioration during postharvest storage and transportation, resulting in reduced edible value and huge economic losses. To ensure fruit and vegetable quality and reduce the waste of resources caused by postnatal deterioration, this paper summarizes the latest research status of sensor detection and monitoring technology for fruit and vegetable quality deterioration and analyzed the principle, characteristics, advantages, and disadvantages of various detection technology. Among them, machine vision can detect the external quality and surface defects of fruits and vegetables, but fruits and vegetables are different from the standard machined products, and they are affected by many factors in the growth process, which seriously interfere with the image collection work and easily lead to misjudgment. An electronic nose equipped with expensive gas sensors can monitor the odor deterioration of fruits and vegetables but would require improved sensitivity and durability. Near-infrared can detect the internal quality and recessive defects of fruits and vegetables, but the applicability of the model needs to be improved. Hyperspectral imaging can visually detect the internal and external quality of fruits and vegetables and track the deterioration process, but the huge amount of data obtained leads to data redundancy, which puts forward higher requirements for system hardware. Therefore, low-cost multispectral imaging systems should be developed and characteristic wavelength extraction algorithms should be optimized. Raman spectroscopy can detect fruit and vegetable spoilage bacteria and their metabolites, but there is no effective Raman enhanced substrate production and accurate Raman standard spectrogram database. The comprehensive evaluation of fruit and vegetable deterioration can be realized by multi-technology and multi-information fusion. It can overcome the limitation of single sensor information analysis, improve the robustness and parallel processing ability of the detection model, and provide a new approach for high-precision detection or monitoring of fruit and vegetable quality deterioration. The Internet of Things monitoring system is constructed with various sensors as the sensing nodes to realize the intelligent real-time monitoring of fruit and vegetable quality deterioration information, provide a reference for solving the technical limitation of quality deterioration control in the processing of fruit and vegetable. This is of great significance for reducing the postpartum economic loss of fruits and vegetables and promoting the sustainable development of the fruit and vegetable industry. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English Chinese |
| تدمد: | 2096-8094 |
| Relation: | http://www.smartag.net.cn/article/2021/2096-8094/2096-8094-2021-3-4-14.shtml; https://doaj.org/toc/2096-8094 |
| DOI: | 10.12133/j.smartag.2021.3.4.202106-SA011 |
| URL الوصول: | https://doaj.org/article/c2a42c1ba4914dc786b5b1f1c02c1396 |
| رقم الأكسشن: | edsdoj.2a42c1ba4914dc786b5b1f1c02c1396 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20968094 |
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| DOI: | 10.12133/j.smartag.2021.3.4.202106-SA011 |