Masters Theses
Date of Award
8-2021
Degree Type
Thesis
Degree Name
Master of Science
Major
Forestry
Major Professor
Wayne K. Clatterbuck
Committee Members
Wayne K. Clatterbuck, Donald G. Hodges, Neelam C. Poudyal
Abstract
eYield is an online growth and yield platform designed to assist landowners and land managers in making the best choices for their properties. eYield aims to strike a balance between the necessary data to run growth and yield models while remaining accessible to its landowner userbase. The results of this paper point to an encouraging amount of user interest in computer-aided forestry tools, specifically in growth and yield models like eYield. The pre- and post-surveys of eYield from respondents suggest that there is a yearning for tools like eYield and that eYield is reasonably representative of the real world. These results point to the continuing march of technology through all sectors and the need for technological integration through most facets of life. Survey participants indicate that they are open and willing to accept new technology to address questions that are environmentally complex and highly variable associated with future forest growth.
Recommended Citation
Kane, Timothy S., "eYield: Testing the Adoption and Outcomes of a Novel Online Growth and Yield Model. " Master's Thesis, University of Tennessee, 2021.
https://trace.tennessee.edu/utk_gradthes/6154