publications
Papers, preprints, and doctoral research in remote sensing and machine learning.
View my Google Scholar profile →
- 2026
Deep Imbalanced Multi-Target Regression: 3D Point Cloud Voxel Content Estimation in Simulated Forests
IEEE Transactions on Geoscience and Remote Sensing
- 2026
- 2025
- 2025
Enhancing snap bean yield prediction through synergistic integration of UAS-Based LiDAR and multispectral imagery
Computers and Electronics in Agriculture · 230, 109923
- 2023
Forecasting Table Beet Root Yield Using Spectral and Textural Features from Hyperspectral UAS Imagery
Remote Sensing · 15(3), 794
- 2022
Evaluation of Leaf Area Index (LAI) of Broadacre Crops Using UAS-Based LiDAR Point Clouds and Multispectral Imagery
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 15, 4027–4044
- 2022
On the Use of Imaging Spectroscopy from Unmanned Aerial Systems (UAS) to Model Yield and Assess Growth Stages of a Broadacre Crop
Ph.D. dissertation · Rochester Institute of Technology
- 2021
Toward Crop Maturity Assessment via UAS-Based Imaging Spectroscopy—A Snap Bean Pod Size Classification Field Study
IEEE Transactions on Geoscience and Remote Sensing · 60, 1–17
- 2021
- 2021
- 2020
- 2020
Yield modeling of snap bean based on hyperspectral sensing: a greenhouse study
Journal of Applied Remote Sensing · 14(2), 024519