Sarah J. Pethybridge

Orcid: 0000-0003-3864-4293

According to our database1, Sarah J. Pethybridge authored at least 11 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2023
Forecasting Table Beet Root Yield Using Spectral and Textural Features from Hyperspectral UAS Imagery.
Remote. Sens., February, 2023

2022
Toward Crop Maturity Assessment via UAS-Based Imaging Spectroscopy - A Snap Bean Pod Size Classification Field Study.
IEEE Trans. Geosci. Remote. Sens., 2022

Evaluation of Leaf Area Index (LAI) of Broadacre Crops Using UAS-Based LiDAR Point Clouds and Multispectral Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

White Mold and Weed Detection in Snap Beans Using UAS-Based Lidar.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Comparison of UAS-Based Structure-from-Motion and LiDAR for Structural Characterization of Short Broadacre Crops.
Remote. Sens., 2021

Broadacre Crop Yield Estimation Using Imaging Spectroscopy from Unmanned Aerial Systems (UAS): A Field-Based Case Study with Snap Bean.
Remote. Sens., 2021

Predicting Table Beet Root Yield with Multispectral UAS Imagery.
Remote. Sens., 2021

Plant Counts in Dense Red Beet Crops: A Computer Vision Approach.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Growth Stage Classification and Harvest Scheduling of Snap Bean Using Hyperspectral Sensing: A Greenhouse Study.
Remote. Sens., 2020

Toward a Structural Description of Row Crops Using UAS-Based LiDAR Point Clouds.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Toward Maturity Assessment of SNAP Bean Crops: A Best-Case Greenhouse Scenario.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020


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