YO-AFD: An improved YOLOv8-based deep learning approach for rapid and accurate apple flower detection runs\detect\train\weights: best.pt images\train: dataset
The CSV files contain the raw data, which are used to generate Figures in the paper. LN_chiral_T.py is the python code for RCWA slover. All the transmission spectra in the paper are calculated based o
This data set include ant-tree interaction and ant abundance data from five sampling sites in Xishuangbanna, Yunnan, China. NBH = Nabanhe; ML = Menglun; MY = Mengyuan; BB = Bubeng; SY = Shangyong.
