Proceedings
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| Filter results4 paper(s) found. |
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1. Ear Deployed Accelerometer Behaviour Detection in SheepAn animal’s behaviour can be a clear indicator of their physiological and physical state. Therefore as resting, eating, walking and ruminating are the predominant daily activities of ruminant animals, monitoring these behaviours could provide valuable information for management decisions and individual animal health status. Traditional animal monitoring methods have relied on human labor to visually observe animals. Accelerometer technology offers the possibility of remotely monitoring animal... J.D. Barwick, M. Trotter, D.W. Lamb, R. Dobos, M. Welch |
2. Generative Modeling Method Comparison for Class Imbalance CorrectionAn image dataset, for use in object detection of hay bales, with over 6000 images of both good and bad hay bales was collected. Unfortunately, the dataset developed a class imbalance, with more good bale images than bad bales. This dataset class imbalance caused the bad bale class to over train and the good bale class to under train, severely impacting precision, and recall. To correct this imbalance and provide a comparison of differing generative modeling methods; three different... B. Vail, Z. Oster, B. Weinhold |
3. Machine Vision in Hay Bale ProductionThe goal of this project is to develop a system capable of real-time detection, pass/fail classification, and location tracking of large square hay bales under field conditions. First, a review of past and current methods of object detection was carried out. This led to the selection of the YOLO family of detectors for this project. The image dataset was collected through help from our sponsor, collection of images from the K-STATE research farm, and images collected from the... B. Vail |
4. Row-unit Integrated Multi-camera Edge AI System for Real-time Small-grain Seeding Performance Data CollectionHigh-quality synchronized imagery collected under field conditions is a limiting factor in the development of computer vision models for small-grain seeding applications. This study presents the design, implementation, and field deployment of a row-unit integrated multi-camera data-acquisition system intended to standardize multi-view data collection during planting. The system mounts directly to a seed-drill row unit and integrates three Power-over-Ethernet (PoE) Basler cameras positioned to... A. Sharda, B. Vail, S. Rai, R. Harsha Chepally |