School of Engineering and Computational Sciences
precision agriculture, digital agriculture, machine vision
Agriculture | Artificial Intelligence and Robotics
Nagel, Micah, "Computational Contributions to the Automation of Agriculture" (2019). Senior Honors Theses. 868.
The purpose of this paper is to explore ways that computational advancements have enabled the complete automation of agriculture from start to finish. With a major need for agricultural advancements because of food and water shortages, some farmers have begun creating their own solutions to these problems. Primarily explored in this paper, however, are current research topics in the automation of agriculture. Digital agriculture is surveyed, focusing on ways that data collection can be beneficial. Additionally, self-driving technology is explored with emphasis on farming applications. Machine vision technology is also detailed, with specific application to weed management and harvesting of crops. Finally, the effects of automating agriculture are briefly considered, including labor, the environment, and direct effects on farmers.