Source: Journal of the Institute of Science & Technology / Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi. Sep2023, Vol. 13 Issue 3, p1482-1495. 14p.

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Enhancing Corn Pest and Disease Recognition through Deep Learning: A Comprehensive Analysis.

Authors : Xu, Wenqing¹ (AUTHOR) ; Li, Weikai¹ (AUTHOR) ; Wang, Liwei¹ (AUTHOR)

Source: Agronomy. Sep2023, Vol. 13 Issue 9, p2242. 16p.

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Using Brainwave Patterns Recorded from Plant Pathology Experts to Increase the Reliability of AI-Based Plant Disease Recognition System.

Authors : Meir, Yonatan¹ (AUTHOR); Barbedo, Jayme Garcia Arnal² (AUTHOR) ; Keren, Omri¹ (AUTHOR)

Source: Sensors (14248220). May2023, Vol. 23 Issue 9, p4272. 12p.

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SK-MobileNet: A Lightweight Adaptive Network Based on Complex Deep Transfer Learning for Plant Disease Recognition.

Authors : Liu, Guangsheng¹ (AUTHOR); Peng, Jialiang^1,2 (AUTHOR) ; El-Latif, Ahmed A. Abd^3,4 (AUTHOR)

Source: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Feb2023, Vol. 48 Issue 2, p1661-1675. 15p.

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Counteracting Data Bias and Class Imbalance—Towards a Useful and Reliable Retinal Disease Recognition System.

Authors : Chłopowiec, Adam R.¹ (AUTHOR) ; Karanowski, Konrad¹ (AUTHOR) ; Skrzypczak, Tomasz² (AUTHOR)

Source: Diagnostics (2075-4418). Jun2023, Vol. 13 Issue 11, p1904. 16p.

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Human Pathogenic Monkeypox Disease Recognition Using Q-Learning Approach.

Authors : Velu, Malathi¹ (AUTHOR); Dhanaraj, Rajesh Kumar² (AUTHOR); Balusamy, Balamurugan³ (AUTHOR)

Source: Diagnostics (2075-4418). Apr2023, Vol. 13 Issue 8, p1491. 23p.

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Crop Disease Identification by Fusing Multiscale Convolution and Vision Transformer.

Authors : Zhu, Dingju^1,2 (AUTHOR) ; Tan, Jianbin¹ (AUTHOR); Wu, Chao² (AUTHOR)

Source: Sensors (14248220). Jul2023, Vol. 23 Issue 13, p6015. 25p.

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نتائج البحث

فلترة النتائج

HMFN-FSL: Heterogeneous Metric Fusion Network-Based Few-Shot Learning for Crop Disease Recognition.

GACN: Generative Adversarial Classified Network for Balancing Plant Disease Dataset and Plant Disease Recognition.

Research on rice disease recognition based on improved SPPFCSPC-G YOLOv5 network.

Improving Plant Disease Recognition Through Gradient-Based Few-shot Learning with Attention Mechanisms.

Enhancing Corn Pest and Disease Recognition through Deep Learning: A Comprehensive Analysis.

Using Brainwave Patterns Recorded from Plant Pathology Experts to Increase the Reliability of AI-Based Plant Disease Recognition System.

SK-MobileNet: A Lightweight Adaptive Network Based on Complex Deep Transfer Learning for Plant Disease Recognition.

Counteracting Data Bias and Class Imbalance—Towards a Useful and Reliable Retinal Disease Recognition System.

Human Pathogenic Monkeypox Disease Recognition Using Q-Learning Approach.

Crop Disease Identification by Fusing Multiscale Convolution and Vision Transformer.

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