3 papers
cs.CV2020
AutoCount: Unsupervised Segmentation and Counting of Organs in Field Images
Jordan Ubbens, Tewodros Ayalew, Steve Shirtliffe +3
Counting plant organs such as heads or tassels from outdoor imagery is a popular benchmark computer vision task in plant phenotyping, which has been previously investigated in the…
cs.CV2019
Crop Lodging Prediction from UAV-Acquired Images of Wheat and Canola using a DCNN Augmented with Handcrafted Texture Features
Sara Mardanisamani, Farhad Maleki, Sara Hosseinzadeh Kassani +12
Lodging, the permanent bending over of food crops, leads to poor plant growth and development. Consequently, lodging results in reduced crop quality, lowers crop yield, and makes h…
cs.CV2017
DeepWheat: Estimating Phenotypic Traits from Crop Images with Deep Learning
Shubhra Aich, Anique Josuttes, Ilya Ovsyannikov +6
In this paper, we investigate estimating emergence and biomass traits from color images and elevation maps of wheat field plots. We employ a state-of-the-art deconvolutional networ…