Improving the Accuracy of Agricultural Pest Identification: Application of AEC-YOLOv8n to Large-Scale Pest Datasets - Wei, Jinfan; Gong, He; Li, Shijun; You, Minghui; Zhu, Hang; Ni, Lingyun; Luo, Lan; Chen, Mengchao; Chao, Hongli; Hu, Jinghuan; Zhu, Caocan; Wang, Heyang; et al. (Agronomy (Basel), 2024)
Keywords: Accuracy; AFEM_SIE; Agricultural pests; Agricultural production; Agriculture; agronomy; Algorithms; concat_weighting; Crop diseases; Crop production; Crops; data collection; Datasets; Deep learning; EMSFEM; Food security; information exchange; Information processing; IP102; Modules; multiple target recognition; Multisensor fusion; pest identification; Pests; Plant diseases; plant pests; Product quality; Receptive field; Soybeans; Spatial data; species; Target detection; texture; texture and edge information; Weighting