يعرض 1 - 10 نتائج من 90 نتيجة بحث عن '"Maturity detection"', وقت الاستعلام: 0.83s تنقيح النتائج
  1. 1
    مؤتمر
    ED-YOLOv8s: An Enhanced Approach for Passion Fruit Maturity Detection Based on YOLOv8s

    المؤلفون: Ling, Haiying, Tu, Zhirong, Li, Guo, Wang, Jijie

    المصدر: 2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT) Artificial Intelligence, Networking and Information Technology (AINIT), 2024 5th International Seminar on. :2320-2324 Mar, 2024

    Relation: 2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)

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  2. 2
    مؤتمر
    Identification of Stages of Ripening of Dragon Fruit Using Neural Networks for Smart Agriculture

    المؤلفون: G, Abhishek, Prabhu, Akshatha, Rani, N. Shobha

    المصدر: 2023 2nd International Conference on Edge Computing and Applications (ICECAA) Edge Computing and Applications (ICECAA), 2023 2nd International Conference on. :377-384 Jul, 2023

    Relation: 2023 2nd International Conference on Edge Computing and Applications (ICECAA)

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  3. 3
    مؤتمر
    Machine Vision Based Papaya Maturity Recognition

    المؤلفون: Asif, Md. Khalid Rayhan, Shams, Monjur Bin, Islam, Mohammad Monirul, Habib, Md. Tarek

    المصدر: 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) Computing Communication and Networking Technologies (ICCCNT), 2022 13th International Conference on. :1-6 Oct, 2022

    Relation: 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)

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  4. 4
    دورية أكاديمية
    Papaya maturity detection based on multi-target sampling and improved Mask R-CNN

    المؤلفون: QI Guohong, ZHANG Yunlong, SU Man

    المصدر: Shipin yu jixie, Vol 40, Iss 3, Pp 52-59 (2024)

    مصطلحات موضوعية: maturity detection, multi-target sampling, mask r-cnn, small data set, papaya, Food processing and manufacture, TP368-456

    وصف الملف: electronic resource

    Relation: http://www.ifoodmm.com/spyjxen/article/abstract/20240307; https://doaj.org/toc/1003-5788

    URL الوصول: https://doaj.org/article/872f4307a75440749be005891c1ab611

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  5. 5
    مؤتمر
    Non-destructive Image Processing Analysis for Defect Identification and Maturity Detection on Avocado Fruit

    المؤلفون: Valiente, Leonardo D., Parco, Kristine Mhae R., Sangalang, Gabriel Carlo P.

    المصدر: 2021 5th International Conference on Communication and Information Systems (ICCIS) Communication and Information Systems (ICCIS), 2021 5th International Conference on. :175-179 Oct, 2021

    Relation: 2021 5th International Conference on Communication and Information Systems (ICCIS)

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  6. 6
    مؤتمر
    Tomato Fruit Maturity Detection Method Based on YOLOV4 and Statistical Color Model

    المؤلفون: Zhou, Xiaoliang, Wang, Pengbo, Dai, Guanglin, Yan, Jiawen, Yang, Zhan

    المصدر: 2021 IEEE 11th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER) CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), 2021 IEEE 11th Annual International Conference on. :904-908 Jul, 2021

    Relation: 2021 IEEE 11th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER)

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  7. 7
    دورية أكاديمية
    Maturity stages detection prototype device for classifying custard apple (Annona squamosa L) fruit using image processing approach

    المؤلفون: G.C. Wakchaure, Sonal B. Nikam, Kiran R. Barge, Satish Kumar, Kamlesh K. Meena, Vinay J. Nagalkar, J.D. Choudhari, V.P. Kad, K.Sammi Reddy

    المصدر: Smart Agricultural Technology, Vol 7, Iss , Pp 100394- (2024)

    مصطلحات موضوعية: Custard apple, Image processing, Maturity detection, Machine learning algorithms, Python, Raspberry Pi, Agriculture (General), S1-972, Agricultural industries, HD9000-9495

    وصف الملف: electronic resource

    Relation: http://www.sciencedirect.com/science/article/pii/S2772375523002216; https://doaj.org/toc/2772-3755

    URL الوصول: https://doaj.org/article/c13ba4335eed407b9db26db7e8be5d31

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  8. 8
    دورية أكاديمية
    An Improved YOLOv8 Model for Lotus Seedpod Instance Segmentation in the Lotus Pond Environment

    المؤلفون: Jie Ma, Yanke Zhao, Wanpeng Fan, Jizhan Liu

    المصدر: Agronomy, Vol 14, Iss 6, p 1325 (2024)

    مصطلحات موضوعية: lotus seeds, maturity detection, segmentation, YOLOv8-seg, CBAM, WIoU, Agriculture

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2073-4395/14/6/1325; https://doaj.org/toc/2073-4395

    URL الوصول: https://doaj.org/article/669a24277f5e49aeaa75f20a3a0f8c1d

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  9. 9
    دورية أكاديمية
    IHDS: Intelligent Harvesting Decision System for Date Fruit Based on Maturity Stage Using Deep Learning and Computer Vision

    المؤلفون: Faisal, M., Alsulaiman, M., Arafah, M., Mekhtiche, M.A.

    المصدر: IEEE Access Access, IEEE. 8:167985-167997 2020

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  10. 10
    كتاب إلكتروني
    Deep Learning Based Coconut Fruit Maturity Classification

    المؤلفون: Nguyen, Nhut-LamAff14, Van Khanh Duong, NgocAff14, Nguyen, Hoang Duy ThienAff14

    المساهمون: Kacprzyk, Janusz, Series EditorAff1, Gomide, Fernando, Advisory EditorAff2, Kaynak, Okyay, Advisory EditorAff3, Liu, Derong, Advisory EditorAff4, Pedrycz, Witold, Advisory EditorAff5, Polycarpou, Marios M., Advisory EditorAff6, Rudas, Imre J., Advisory EditorAff7, Wang, Jun, Advisory EditorAff8, Nghia, Phung Trung, editorAff9, Thai, Vu Duc, editorAff10, Thuy, Nguyen Thanh, editorAff11, Son, Le Hoang, editorAff12, Huynh, Van-Nam, editorAff13

    المصدر: Advances in Information and Communication Technology : Proceedings of the 2nd International Conference ICTA 2023, Volume 1. 847:51-59

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