%0 Journal Article
%T TasselNet: counting maize tassels in the wild via local counts regression network
%A Bohan Zhuang
%A Chunhua Shen
%A Hao Lu
%A Yang Xiao
%A Zhiguo Cao
%J Archive of "Plant Methods".
%D 2017
%R 10.1186/s13007-017-0224-0
%X Intrinsic and extrinsic variations in the maize field. These variations pose significant challenges for in-field counting of maize tassels. a Shape and size vary significantly as plants grow over time. b Appearance variations due to different cultivars. c Illumination variations due to different weather conditions. d Pose variations due to wind, imaging and perspective distortions. e Occlusions between leaves and tassels or different tassels. f Cluttered background caused by wires, poles and weeds. g Image degradation due to dust or rain drops on the camera lens. h Texture variations due to different flowering statu
%K Maize tassels
%K Object counting
%K Computer vision
%K Deep learning
%K Convolutional neural networks
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5664836/