Search Results for author: Enyu Cai

Found 7 papers, 0 papers with code

Semi-Supervised Object Detection for Sorghum Panicles in UAV Imagery

no code implementations16 May 2023 Enyu Cai, Jiaqi Guo, Changye Yang, Edward J. Delp

In this paper, we present an approach to reduce the amount of training data for sorghum panicle detection via semi-supervised learning.

object-detection Object Detection +2

High-Resolution UAV Image Generation for Sorghum Panicle Detection

no code implementations8 May 2022 Enyu Cai, Zhankun Luo, Sriram Baireddy, Jiaqi Guo, Changye Yang, Edward J. Delp

The number of panicles (or heads) of Sorghum plants is an important phenotypic trait for plant development and grain yield estimation.

Data Augmentation Image-to-Image Translation +1

Field-Based Plot Extraction Using UAV RGB Images

no code implementations1 Sep 2021 Changye Yang, Sriram Baireddy, Enyu Cai, Melba Crawford, Edward J. Delp

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.

Management Plant Phenotyping

Panicle Counting in UAV Images For Estimating Flowering Time in Sorghum

no code implementations15 Jul 2021 Enyu Cai, Sriram Baireddy, Changye Yang, Melba Crawford, Edward J. Delp

Flowering time (time to flower after planting) is important for estimating plant development and grain yield for many crops including sorghum.

Image-Based Plant Wilting Estimation

no code implementations27 May 2021 Changye Yang, Sriram Baireddy, Enyu Cai, Valerian Meline, Denise Caldwell, Anjali S. Iyer-Pascuzzi, Edward J. Delp

In particular, we want to design a metric for wilting based on images acquired of the plant.

Deep Transfer Learning For Plant Center Localization

no code implementations29 Apr 2020 Enyu Cai, Sriram Baireddy, Changye Yang, Melba Crawford, Edward J. Delp

In this paper, we propose a method for estimating plant centers by transferring an existing model to a new scenario using limited ground truth data.

Management Plant Phenotyping +1

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