Agronomy, Volume 12, Issue 8
2022 August - 253 articles
Cover Story: Insect pests cause considerable losses in agriculture across the planet. The rapid identification of these agents in specific maturity stages, such as early and adult stages, is a promising alternative for crop infestation management. Automatic recognition, using computer vision and machine learning techniques, is an innovative way that has shown high rates of correct answers in insect recognition. However, the algorithms typically require a large dataset for model training and relevant computational capacity. Few-shot learning, however, is a more suitable approach to handle insect classification using few data samples, and a promising alternative for on-site application in crops using embedded devices. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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