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De Poorter, E
Lati , R
Eastwood, C
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Authors
Yule , I
Eastwood, C
De Waele, T
Peralta, D
Shahid, A
De Poorter, E
Paz Kagan, T
Lati , R
Caras, T
Topics
Precision Dairy and Livestock Management
Big Data, Data Mining and Deep Learning
Precision Agriculture for Sustainability and Environmental Protection
Type
Poster
Oral
Year
2012
2022
2024
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Filter results3 paper(s) found.

1. Challenges and Opportunities for Precision Dairy Farming in New Zealand.

A study was commissioned by DairyNZ, a dairy industry good organisation in New Zealand, to identify some of the key challenges and opportunities in the precision dairy space. In New Zealand there has been an increasing research focus on the use of information and communication technologies (ICT) ... I. Yule , C. Eastwood

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. Monitoring the Effects of Weed Management Strategies on Tree Canopy Structure and Growth Using UAV-LiDAR in a Young Almond Orchard

The primary objective of this study was to assess the potential effect of integrated weed management (IWM) on canopy structure and growth in a young almond orchard using unmanned aerial vehicle (UAV) LiDAR point cloud data. The experiment took place in the Neve Ya’ar Model Farm, with four IWM strategies tested: (1) standard herbicide-based management, (2) physical-mechanical approach, (3) cover crops, and (4) integrated weed management combining herbicide and mowing. In 2019 (pre-treatment)... T. Paz kagan, R. Lati , T. Caras