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Development of an optimal algorithm for detecting damaged and diseased potato tubers moving along a conveyor belt using computer vision systems
Názov Development of an optimal algorithm for detecting damaged and diseased potato tubers moving along a conveyor belt using computer vision systems Autor Korchagin S.A. Spoluautori Gataullin S.T. Osipov A.V. Smirnov M.V. Suvorov S.V. Serdechnyi D.V. Bublikov Konstantin SAVELEK - Elektrotechnický ústav SAV ORCID Zdroj.dok. Agronomy-Basel. Vol. 11, no. 10 (2021), art. no. 1980 Jazyk dok. eng - angličtina Druh dok. rozpis článkov z periodík (rbx) Ohlasy NASIRAHMADI, Abozar - WILCZEK, Ulrike - HENSEL, Oliver. Sugar Beet Damage Detection during Harvesting Using Different Convolutional Neural Network Models. In AGRICULTURE-BASEL, 2021, vol. 11, no. 11, pp. Dostupné na: https://doi.org/10.3390/agriculture11111111. ZHANG, Q. - LIANG, Q.Y. - LIANG, H. - YANG, Y. Removal and Recovery of the Human Invisible Region. In SYMMETRY-BASEL. MAR 2022, vol. 14, no. 3. Dostupné na: https://doi.org/10.3390/sym14030531. CHEN, Ko Hua - YANG, Ming Der. AUTOMATED GRADING SYSTEM FOR SWEET POTATO INDUSTRY USING APRILTAG AND EDANET. In 44th Asian Conference on Remote Sensing, ACRS 2023, 2023-01-01, pp. WANG, Hucun - ZHAO, Wuyun - SUN, Wei - ZHANG, Hua - LIU, Xiaolong - LI, Hui. Research progress on the technology and equipment for potato mechanized harvesting. In Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2023-07-01, 39, 14, pp. 1-22. ISSN 10026819. Dostupné na: https://doi.org/10.11975/j.issn.1002-6819.202303056. XU, Laixiang - NING, Shiyuan - ZHANG, Wenbo - XU, Peng - ZHAO, Fengjie - CAO, Bingxu - HOU, Xiangguan. Identification of leek diseases based on deep learning algorithms. In Journal of Ambient Intelligence and Humanized Computing, 2023-10-01, 14, 10, pp. 14349-14364. ISSN 18685137. Dostupné na: https://doi.org/10.1007/s12652-023-04674-x. GUL, Z. - BORA, S. Exploiting Pre-Trained Convolutional Neural Networks for the Detection of Nutrient Deficiencies in Hydroponic Basil. In SENSORS. JUN 2023, vol. 23, no. 12. Dostupné na: https://doi.org/10.3390/s23125407. YU, F. - ZHANG, Q. - XIAO, J. - MA, Y.T. - WANG, M. - LUAN, R.P. - LIU, X. - PING, Y. - NIE, Y. - TAO, Z.Y. - ZHANG, H. Progress in the Application of CNN-Based Image Classification and Recognition in Whole Crop Growth Cycles. In REMOTE SENSING. JUN 2023, vol. 15, no. 12. Dostupné na: https://doi.org/10.3390/rs15122988. XU, L.X. - CAO, B.X. - NING, S.Y. - ZHANG, W.B. - ZHAO, F.J. Peanut leaf disease identification with deep learning algorithms. In MOLECULAR BREEDING. ISSN 1380-3743, APR 2023, vol. 43, no. 4. Dostupné na: https://doi.org/10.1007/s11032-023-01370-8. Kategória ADCA - Vedecké práce v zahraničných karentovaných časopisoch impaktovaných Kategória (od 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Typ výstupu článok Rok vykazovania 2021 Registrované v WOS Registrované v SCOPUS Registrované v CCC DOI 10.3390/agronomy11101980 článok
Názov súboru Prístup Veľkosť Stiahnuté Typ Licence Development of an optimal algorithm for detecting damaged and diseased potato tubers moving along a conveyor belt using computer vision systems.pdf Prístupný 4.3 MB 2 Vydavateľská verzia rok CC IF IF Q (best) JCR Av Jour IF Perc SJR SJR Q (best) CiteScore A rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2021 2020 3.417 Q1 0.707 Q1
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