research
∙
04/14/2023
Grouping Shapley Value Feature Importances of Random Forests for explainable Yield Prediction
Explainability in yield prediction helps us fully explore the potential ...
share
research
∙
09/19/2022
SOCRATES: A Stereo Camera Trap for Monitoring of Biodiversity
The development and application of modern technology is an essential bas...
research
∙
08/26/2022
Extreme Gradient Boosting for Yield Estimation compared with Deep Learning Approaches
Accurate prediction of crop yield before harvest is of great importance ...
research
∙
02/09/2022
Distance Estimation and Animal Tracking for Wildlife Camera Trapping
The ongoing biodiversity crysis calls for accurate estimation of animal ...
research
∙
05/10/2021
Overcoming the Distance Estimation Bottleneck in Camera Trap Distance Sampling
Biodiversity crisis is still accelerating. Estimating animal abundance i...
research
∙
02/16/2021
Automated Identification of Vulnerable Devices in Networks using Traffic Data and Deep Learning
Many IoT devices are vulnerable to attacks due to flawed security design...
research
∙
02/10/2021
Exploiting Depth Information for Wildlife Monitoring
Camera traps are a proven tool in biology and specifically biodiversity ...
research
∙
10/18/2020
Image-based Automated Species Identification: Can Virtual Data Augmentation Overcome Problems of Insufficient Sampling?
Automated species identification and delimitation is challenging, partic...
research
∙
11/23/2018
An Adaptive Approach for Automated Grapevine Phenotyping using VGG-based Convolutional Neural Networks
In (grapevine) breeding programs and research, periodic phenotyping and ...
research
∙
07/19/2018
Automated Phenotyping of Epicuticular Waxes of Grapevine Berries Using Light Separation and Convolutional Neural Networks
In viticulture the epicuticular wax as the outer layer of the berry skin...
research
∙
07/10/2018
Efficient identification, localization and quantification of grapevine inflorescences in unprepared field images using Fully Convolutional Networks
Yield and its prediction is one of the most important tasks in grapevine...
research
∙
05/10/2018