Automated Pruning of Greenhouse Indeterminate Tomato Plants Joey Angeja 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.iv ACKNOWLEDGMENTS Thanks to:• My parents, Joe and Liz, for supporting me through everything. Nothing would have been achievable without your love and support.• My sisters, Katrina and Marissa, for unconditional love throughout my life.And for being my source of writer's block relief.• Claudia Morales, you always pushed me to strive for success.• My friends (