research
∙
06/15/2023
A comprehensive review of 3D convolutional neural network-based classification techniques of diseased and defective crops using non-UAV-based hyperspectral images
Hyperspectral imaging (HSI) is a non-destructive and contactless technol...
share
research
∙
03/10/2023
Fusarium head blight detection, spikelet estimation, and severity assessment in wheat using 3D convolutional neural networks
Fusarium head blight (FHB) is one of the most significant diseases affec...
research
∙
05/22/2022
Investigating classification learning curves for automatically generated and labelled plant images
In the context of supervised machine learning a learning curve describes...
research
∙
03/25/2022
The TerraByte Client: providing access to terabytes of plant data
In this paper we demonstrate the TerraByte Client, a software to downloa...
research
∙
03/04/2022
Plant Species Recognition with Optimized 3D Polynomial Neural Networks and Variably Overlapping Time-Coherent Sliding Window
Recently, the EAGL-I system was developed to rapidly create massive labe...
research
∙
08/12/2021
Presenting an extensive lab- and field-image dataset of crops and weeds for computer vision tasks in agriculture
We present two large datasets of labelled plant-images that are suited t...
research
∙
05/15/2021
Polynomial degree reduction in the â„’^2-norm on a symmetric interval for the canonical basis
In this paper, we develop a direct formula for determining the coefficie...
research
∙
03/26/2021
Fully Automated 2D and 3D Convolutional Neural Networks Pipeline for Video Segmentation and Myocardial Infarction Detection in Echocardiography
Cardiac imaging known as echocardiography is a non-invasive tool utilize...
research
∙
09/09/2020
1-Dimensional polynomial neural networks for audio signal related problems
In addition to being extremely non-linear, modern problems require milli...
research
∙
06/01/2020
