Latest Research in Computer Vision and Pattern Recognition

10 research papers · 2026 median publication year

Top Research Topics in Computer Vision and Pattern Recognition

Highest-Cited Papers

  1. Vision Normalizing Flows for the probability-informed detection of banana diseases from in-field images
  2. When Ground-Truth Fidelity Matters: An Orchestrated UAS Framework for Wheat Streak Mosaic Virus Detection Using Vision Transformers and Machine Learning
  3. DASO-RiceNet: A Sequential Dual-Attention Network for Fine-Grained Rice Disease and Damage Classification
  4. A rapid, semi-automated image-based method for quantitative assessment of rust disease progression in wheat
  5. Lightweight Vision Transformer Compression for On-Device Plant Disease Detection in Resource-Constrained Agricultural Field Conditions
  6. Non-destructive hyperspectral imaging and machine learning for detection of pea seed-borne mosaic virus in faba bean seeds
  7. Deployment-aware HDBO-R optimisation of a lightweight ECA-MBConv-Net for tea leaf disease classification
  8. Cross-Architecture Knowledge Distillation from a Vision Foundation Model to a Lightweight Visual State Space Model for Tea Leaf Disease Classification
  9. Time course sensor‐based phenotyping can predict Ascochyta blight disease severity in Cicer species
  10. Effectiveness of IoT and Deep Learning for Detection and Severity Assessment of Postelectrotermes militaris in Tea Plantations
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L3 Region - - 2026 Sep Q3

Computer Vision and Pattern Recognition

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