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An, X
Vail, B
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Authors
Meng, Z
Wang, Z
Wu, G
Fu, W
An, X
Vail, B
Oster, Z
Weinhold, B
Vail, B
Topics
Spatial Variability in Crop, Soil and Natural Resources
Big Data, Data Mining and Deep Learning
Type
Poster
Oral
Year
2014
2024
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Filter results3 paper(s) found.

1. The Spatial And Temporal Variability Analysis Of Wheat Yield in suburban of Beijing

  Abstract: The yield map is the basis of the fertilization maps and plant maps. In order to diagnose the cause of variation accurately, not only the spatial variation of annual yield data, but also the successive annual yield data of temporal variability should be understood.The introduction of yield monitor system, global positioning system (GPS), and geographic information system have provided new methods to obtain wheat yield in precision agriculture.... Z. Meng, Z. Wang, G. Wu, W. Fu, X. An

2. Generative Modeling Method Comparison for Class Imbalance Correction

An 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 Production

The 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