BFP Net: Balanced Feature Pyramid Network for Small Apple Detection in Complex Orchard Environment  

作　　者：Meili Sun Liancheng Xu Xiude Chen Ze Ji Yuanjie Zheng Weikuan Jia 

机构地区：[1]School of Information Science and Engineering,Shandong Normal University,Jinan,China [2]Key Laboratory of Facility Agriculture Measurement and Control Technology and Equipment of Machinery Industry,Zhenjiang 212013,China [3]National Engineering Research Center for Apple,Shandong Agriculture University,Taian 271018,China [4]School of Engineering,Cardiff University,Cardiff CF243AA,UK

出　　处：《Plant Phenomics》2022年第1期75-93,共19页植物表型组学（英文）

基　　金：This work is supported by the Natural Science Foundation of Shandong Province in China(No.:ZR2020MF076);the National Nature Science Foundation of China(No.:62072289);the Focus on Research and Development Plan in Shandong Province(No.:2019GNC106115);the Taishan Scholar Program of Shandong Province of China;the New Twentieth Items of Universities in Jinan(2021GXRC049).

摘　　要：Despite of significant achievements made in the detection of target fruits,small fruit detection remains a great challenge,especially for immature small green fruits with a few pixels.The closeness of color between the fruit skin and the background greatly increases the difficulty of locating small target fruits in the natural orchard environment.In this paper,we propose a balanced feature pyramid network(BFP Net)for small apple detection.

关 键 词：NET PYRAMID locating 

分 类 号：S661.1[农业科学—果树学] TP393[农业科学—园艺学]