mechelМеханизация и электрификация сельского хозяйстваMechanization and Electrification of Agriculture2222-8837Научно-практический центр Национальной академии наук Беларуси по механизации сельского хозяйстваmechel-584Research ArticleСтатьиК РАЗРАБОТКЕ СИСТЕМЫ ИДЕНТИФИКАЦИИ КЛУБНЕЙ КАРТОФЕЛЯ ПО ВНУТРЕННИМ ДЕФЕКТАМBY CREATE SYSTEMRS IDENTIFICATION THE PLANTS OF POTATOES FOR INSIDE DEFECTSВоробейА. С.VerabeiS.

г. Минск

Minsk

labpotato@mail.ruГолдыбанВ. В.GoldybanV. V.

г. Минск

Minsk

КуриловичМ. И.KurilovitсhМ. I.

г. Минск

Minsk

РУП «НПЦ НАН Беларуси по механизации сельского хозяйства»RUE «SPC NAS of Belarus for Agriculture Mechanization»201902062022052154157Copyright © Воробей А.С., Голдыбан В.В., Курилович М.И., 20222022Воробей А.С., Голдыбан В.В., Курилович М.И.Verabei S., Goldyban V.V., Kurilovitсh М.I.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://mechel.belal.by/jour/article/view/584

В статье приведен анализ внутренних дефектов, как имеющихся в клубнях картофеля, так и в других фруктах и овощах. Также предложены некоторые методы идентификации клубней для улучшения их качества.

In article was gives analyze inside defects, as having in plants of potatoes, such and another fruit and vegetables. Also prepper some methods its identification for improve its quality.

внутренние дефектыклубни картофеляинфракрасная спектроскопиягиперспектральное визуальное изображениеоптическая сортировкасистемы технического зренияinside defectspotato tubersinfrared spectroscopyhyperspectral visual imagingoptical sortingvision systemsReferencesFang, Tian. Nondestructive and rapid detection of potato black heart based on machine vision technology / T. Fang, P. Yankun, W. Wensong // Sensing for Agriculture and Food Quality and Safety VIII. China Agricultural University. – V. 2. – China, 2016. – P. 83–94.Fang, Tian. Nondestructive and rapid detection of potato black heart based on machine vision technology / T. Fang, P. Yankun, W. Wensong // Sensing for Agriculture and Food Quality and Safety VIII. China Agricultural University. – V. 2. – China, 2016. – P. 83–94.Clark, C. J. Detection of Brownheart in ‘Braeburn’ apple by transmission NIR spectroscopy / C. J. Clark, V. A. McGlone, R. B. Jordan // Postharvest Biology and Technology. – 2003. – № 28. – P. 87–96.Clark, C. J. Detection of Brownheart in ‘Braeburn’ apple by transmission NIR spectroscopy / C. J. Clark, V. A. McGlone, R. B. Jordan // Postharvest Biology and Technology. – 2003. – № 28. – P. 87–96.Donghai, Han. Nondestructive detection of brown core in the Chinese pear ‘Yali’ by transmission visible–NIR spectroscopy / H. Donghai, T. Runlin, L. Chao, L. Xinxin, W. Zhaohui // Food Control. – 2006. – № 17. – P. 604–608.Donghai, Han. Nondestructive detection of brown core in the Chinese pear ‘Yali’ by transmission visible–NIR spectroscopy / H. Donghai, T. Runlin, L. Chao, L. Xinxin, W. Zhaohui // Food Control. – 2006. – № 17. – P. 604–608.Diwan, P. Evaluation of internal defect and surface color of whole pickles using hyperspectral imaging / P. Diwan, A. Ariana, L. Renfu // Journal of Food Engineering. – 2010. – № 96. – P. 583–590.Diwan, P. Evaluation of internal defect and surface color of whole pickles using hyperspectral imaging / P. Diwan, A. Ariana, L. Renfu // Journal of Food Engineering. – 2010. – № 96. – P. 583–590.Takizawa, Kenichi. Development of nondestructive technique for detecting internal defects in Japanese radishes / K. Takizawa, K. Nakano, S. Ohashi, H. Yoshizawa, J. Wang, Y. Sasaki // Journal of Food Engineering. – 2014. – № 126. – P. 43–47.Takizawa, Kenichi. Development of nondestructive technique for detecting internal defects in Japanese radishes / K. Takizawa, K. Nakano, S. Ohashi, H. Yoshizawa, J. Wang, Y. Sasaki // Journal of Food Engineering. – 2014. – № 126. – P. 43–47.Leiqing, Pan. Detection of cold injury in peaches by hyperspectral reflectance imaging and artificial neural network / P. Leiqing, Z. Qiang, Z. Wei, S. Ye, H. Pengcheng, T. Kang // Food chemistry. – 2016. – № 192 – P. 134–141.Leiqing, Pan. Detection of cold injury in peaches by hyperspectral reflectance imaging and artificial neural network / P. Leiqing, Z. Qiang, Z. Wei, S. Ye, H. Pengcheng, T. Kang // Food chemistry. – 2016. – № 192 – P. 134–141.Elbatawi, I. E. An acoustic impact method to detect hollow heart of potato tubers / I. E. Elbatawi, E. Nadi // Biosystems engineering. – 2008. – № 100. – P. 206–213.Elbatawi, I. E. An acoustic impact method to detect hollow heart of potato tubers / I. E. Elbatawi, E. Nadi // Biosystems engineering. – 2008. – № 100. – P. 206–213.Javad, Khazaeia. Effect of air-jet impingement parameters on the extraction of pomegranate arils / K. Javad, E. R. Nader, S. Majid, Z. N. Seyed // Biosystems engineering. – 2008. – № 100. – P. 214–226.Javad, Khazaeia. Effect of air-jet impingement parameters on the extraction of pomegranate arils / K. Javad, E. R. Nader, S. Majid, Z. N. Seyed // Biosystems engineering. – 2008. – № 100. – P. 214–226.

The authors declare that there are no conflicts of interest present.