Nematode Detection and Classification Using Machine Learning Techniques: A Review

Exploring foci of: Agronomy • Vol 15 • No 11 Nematode Detection and Classification Using Machine Learning Techniques: A Review October 2025 • Arjun Neupane, Tej Bahadur Shahi, Richard Koech, Kerry B. Walsh, Philip Kibet Langat Nematode identification and quantification are critical for understanding their impact on agricultural ecosystems. However, traditional methods rely on specialised expertise in nematology, making the process costly and time-consuming. Recent developments in technologies such as Artificial Intelligence (AI) and computer vision (CV) offer promising alternatives for automating nematode identification and counting at scale. This work reviews the current literature on nematode detection using AI techniques, focusing on… Open Article Page

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