2026-10-11T21:46:05Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33816297 2026-09-15T18:15:45Z category_21 category_39 category_734 category_931 portal_5 item_type_3 month_year_09_2026

<p>Statistical analysis of different error types for AP-decreased pest categories.</p> Shenming Qu (11442020) Zhiheng Liu (341545) Huazhen Zhao (24951048) Yichao Wu (259129) Yang Yang (45629) Biotechnology Ecology Biological Sciences not elsewhere classified Information Systems not elsewhere classified proposed method achieves minimal computational overhead major staple crop enhanced feature representation enabling effective suppression diverse morphological characteristics complex field backgrounds pest infestations throughout model &# 8217 directional pest textures module adaptively fuses lightweight convolutional design ipmaize dataset demonstrate introduces global self level feature representation thereby improving low improved yolov11n framework attention weighted aggregation tomato pest based model module enhances global significance dataset evaluations level transformer deeper level xlink "> scale features reduce yield random seeds often leading missed detections ip102 datasets highly vulnerable growth cycle experimental results background noise averaged map 63 %. <p>Statistical analysis of different error types for AP-decreased pest categories.</p> 2026-09-15T18:15:12Z Dataset Dataset 10.1371/journal.pone.0357034.t012 https://figshare.com/articles/dataset/_p_Statistical_analysis_of_different_error_types_for_AP-decreased_pest_categories_p_/33816297 CC BY 4.0