Research map: Grad-CAM++ Guided Deep Learning-Based Genus-Level Identification of Plant-Parasitic Nematodes in Microscopic Images

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  1. A systematic analysis of performance measures for classification tasks · Marina V. Sokolova · 2009 · 7037 citations · Cited by this paper
  2. Low-Cost RGB-Imaging and Standard Area Diagram Enables Phenotyping and Indirect Selection for Leaf Blight Disease Tolerance in Groundnut · 2026 · Related
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  10. Fusarium isolates representing six species complexes from symptomatic scale-leaved conifers (Cupressaceae) · 2026 · Related
  11. Anatomical Alterations in Plant Tissues Induced by Plant-Parasitic Nematodes · Juan E. Palomares‐Rius · 2017 · 182 citations · Cited by this paper
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  13. An automatic plant leaf disease identification using DenseNet-121 architecture with a mutation-based henry gas solubility optimization algorithm · S. Nandhini · 2022 · 146 citations · Cited by this paper
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  15. A deep learning framework to discern and count microscopic nematode eggs · Adedotun Akintayo · 2018 · 119 citations · Cited by this paper
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  19. Classification of Paediatric Pneumonia Using Modified DenseNet-121 Deep-Learning Model · T.S. Arulananth · 2024 · 98 citations · Cited by this paper
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  21. ResNet-50 vs. EfficientNet-B0: Multi-Centric Classification of Various Lung Abnormalities Using Deep Learning · Kajal Kansal · 2024 · 91 citations · Cited by this paper
  22. The pervasive impact of global climate change on plant-nematode interaction continuum · Tushar Kanti Dutta · 2023 · 77 citations · Cited by this paper
  23. NemaNet: A convolutional neural network model for identification of soybean nematodes · André Abade · 2021 · 64 citations · Cited by this paper
  24. Grading Methods for Fruit Freshness Based on Deep Learning · Yuhang Fu · 2022 · 64 citations · Cited by this paper
  25. PLANT DISEASES CAUSED BY NEMATODES · George N. Agrios · 2005 · 59 citations · Cited by this paper
  26. A sugar beet leaf disease classification method based on image processing and deep learning · Kemal Adem · 2022 · 59 citations · Cited by this paper
  27. An Improved Crop Scouting Technique Incorporating Unmanned Aerial Vehicle–Assisted Multispectral Crop Imaging into Conventional Scouting Practice for Gummy Stem Blight in Watermelon · Melanie L. Kalischuk · 2019 · 54 citations · Cited by this paper
  28. Deep learning models for automatic identification of plant-parasitic nematode · Nabila Husna Shabrina · 2023 · 49 citations · Cited by this paper
  29. Pyramid Adversarial Training Improves ViT Performance · Charles Herrmann · 2022 · 43 citations · Cited by this paper
  30. Diagnostic methods for identification of root-knot nematodes species from Brazil · Tiago Garcia da Cunha · 2018 · 40 citations · Cited by this paper
  31. First report of the nematicidal activity of Flammulina velutipes, its spent mushroom compost and metabolites · Juliana Marques Ferreira · 2019 · 34 citations · Cited by this paper
  32. NemaRec: A deep learning-based web application for nematode image identification and ecological indices calculation · Xue Qing · 2022 · 33 citations · Cited by this paper
  33. Brain Tumor Classification using EfficientNet-B0 Model · Veeranki Goutham · 2022 · 28 citations · Cited by this paper
  34. A Detection Model for Cucumber Root-Knot Nematodes Based on Modified YOLOv5-CMS · Chun‐Shan Wang · 2022 · 21 citations · Cited by this paper
  35. Counting nematodes made easy: leveraging AI-powered automation for enhanced efficiency and precision · Kanan K. Saikai · 2024 · 21 citations · Cited by this paper
  36. Identification, morphology and biology of plant parasitic nematodes. · D. J. Hunt · 2018 · 18 citations · Cited by this paper
  37. A Deep Learning-Based Decision Support Tool for Plant-Parasitic Nematode Management · Top Bahadur Pun · 2023 · 18 citations · Cited by this paper
  38. Plant Parasitic Nematode Identification in Complex Samples with Deep Learning · Sahil Agarwal · 2023 · 17 citations · Cited by this paper
  39. ConvNeXt-backbone HoVerNet for nuclei segmentation and classification · Jiachen Li · 2022 · 15 citations · Cited by this paper

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