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Shahid, A
SVIERCOSKI, R
Söderström, M
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Authors
Söderström, M
De Waele, T
Peralta, D
Shahid, A
De Poorter, E
SVIERCOSKI, R
Topics
Spatial Variability in Crop, Soil and Natural Resources
Big Data, Data Mining and Deep Learning
Education and Outreach in Precision Agriculture
Type
Poster
Oral
Year
2012
2022
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Filter results3 paper(s) found.

1. Local And Regional Soil Clay Mapping Using Gamma Ray Spectrometry

... M. Söderström

2. Supervised Feature Selection and Clustering for Equine Activity Recognition

In this paper we introduce a novel supervised algorithm for equine activity recognition based on accelerometer data. By combining an approach of calculating a wide variety of time-series features with a supervised feature significance test we can obtain the best suited features using just 5 labeled samples per class and without requiring any expert domain knowledge. By using a simple cluster assignment algorithm with these obtained features, we get a classification algorithm that achieves a mean... T. De waele, D. Peralta, A. Shahid, E. De poorter

3. Teaching Mathematics Towards Precision Agriculture Through Data Analysis and Models

Precision agriculture is used in a wide variety of field operations and agricultural practices that affect our daily lives. Many fields of agriculture are increasingly adopting equipment automation, robotics, and machine learning techniques. These all lead to recognize that data collection and exploitation is a valuable tool assisting in real-time farming and livestock decisions. Thus, the immediate need to empower students in Agriculture Sciences with mathematical tools using data analysis is... R. Sviercoski