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High-Resolution UAV Image Generation for Sorghum Panicle Detection
Enyu Cai, Zhankun Luo, Sriram Baireddy +3
The number of panicles (or heads) of Sorghum plants is an important phenotypic trait for plant development and grain yield estimation. The use of Unmanned Aerial Vehicles (UAVs) en…
Field-Based Plot Extraction Using UAV RGB Images
Changye Yang, Sriram Baireddy, Enyu Cai +2
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 da…
Image-Based Plant Wilting Estimation
Changye Yang, Sriram Baireddy, Enyu Cai +4
Many plants become limp or droop through heat, loss of water, or disease. This is also known as wilting. In this paper, we examine plant wilting caused by bacterial infection. In p…
Deep Transfer Learning For Plant Center Localization
Enyu Cai, Sriram Baireddy, Changye Yang +2
Plant phenotyping focuses on the measurement of plant characteristics throughout the growing season, typically with the goal of evaluating genotypes for plant breeding. Estimating…
Plant Stem Segmentation Using Fast Ground Truth Generation
Changye Yang, Sriram Baireddy, Yuhao Chen +5
Accurately phenotyping plant wilting is important for understanding responses to environmental stress. Analysis of the shape of plants can potentially be used to accurately quantif…