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Olsen, D.R
De Poorter, E
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Authors
Zhang, X
Streeter, C.R
Kim, H
Olsen, D.R
De Waele, T
Peralta, D
Shahid, A
De Poorter, E
Topics
Remote Sensing Applications in Precision Agriculture
Big Data, Data Mining and Deep Learning
Type
Oral
Poster
Year
2010
2022
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1. Near Real-time Meter-resolution Airborne Imagery For Precision Agriculture: Aerocam

Precision agriculture often relies on high resolution imagery to delineate the variability within a field. Airborne Environmental Research Observational Camera (AEROCam) was designed to meet the needs of agriculture producers, ranchers, and researchers, who require meter-solution imagery in a near real-time environment for rapid decision support. AEROCam was developed and operated through a unique collaboration... X. Zhang, C.R. Streeter, H. Kim, D.R. Olsen

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