The Application of Advanced Technologies for Agriculture and Rangeland Management

Author

Matthew D. Kutugata, The University of Texas Rio Grande Valley

Date of Award

8-2020

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Agricultural, Environmental, and Sustainability Sciences

First Advisor

Dr. Alexis Racelis

Second Advisor

Dr. Abdullah F. Rahman

Third Advisor

Dr. Pushpa Soti

Abstract

This project demonstrates two applications of remote sensing in agricultural and rangeland environments. In the first, an unmanned aerial system (UAS) equipped with a multi-spectral sensor was used to estimate canopy cover across four different cover crop trials at four time periods. In the second, a local database of stationary camera trap images of wildlife was used to train a convolutional neural network to automatically catalogue images by identifying the animal in those images. Both projects aimed to provide an example of how remote sensing platforms and machine learning techniques can facilitate the rapid collection and processing of large-scale field data. In both projects, methods were developed that confirm the utility of advanced remote sensing and computer vision technologies.

Comments

Copyright 2020 Matthew D. Kutugata. All Rights Reserved.

https://www.proquest.com/dissertations-theses/application-advanced-technologies-agriculture/docview/2506304318/se-2?accountid=7119

Recommended Citation

Kutugata, Matthew D., "The Application of Advanced Technologies for Agriculture and Rangeland Management" (2020). Theses and Dissertations. 293.
https://scholarworks.utrgv.edu/etd/293