Field-Based Plot Extraction Using UAV RGB Images
This work addresses the need for efficient plot extraction in agricultural phenotyping, but it appears incremental as it builds on existing methods with improved accuracy.
The paper tackles the problem of segmenting UAV images into plots for plant phenotyping by proposing a new plot extraction method, which achieves higher accuracy than existing approaches.
Unmanned Aerial Vehicles (UAVs) have become popular for use in plant phenotyping of field based crops, such as maize and sorghum, due to their ability to acquire high resolution data over field trials. Field experiments, which may comprise thousands of plants, are planted according to experimental designs to evaluate varieties or management practices. For many types of phenotyping analysis, we examine smaller groups of plants known as "plots." In this paper, we propose a new plot extraction method that will segment a UAV image into plots. We will demonstrate that our method achieves higher plot extraction accuracy than existing approaches.