DOI: https://doi.org/10.15368/theses.2018.37
Available at: https://digitalcommons.calpoly.edu/theses/1839
Date of Award
6-2018
Degree Name
MS in Computer Science
Department/Program
Computer Science
Advisor
Jane Zhang
Abstract
Pruning of indeterminate tomato plants is vital for a profitable yield and it still remains a manual process. There has been research in automated pruning of grapevines, trees, and other plants, but tomato plants have yet to be explored. Wage increases are contributing to the depleting profits of greenhouse tomato farmers. Rises in population are the driving force behind the need for efficient growing techniques. The major contribution of this thesis is a computer vision algorithm for detecting greenhouse tomato pruning points without the use of depth sensors. Given an up-close 2-D image of a tomato stem with the background excluded, the algorithm proposed in this work can detect and mark the tomato suckers.