Date of Award
6-14-2023
Document Type
Thesis
Publisher
Santa Clara : Santa Clara University, 2023.
Department
Computer Science and Engineering
First Advisor
Behnam Dezfouli
Abstract
Bees are vital pollinators for numerous crops and plants, playing an essential role in maintaining the world’s ecosystem and food security. Without bees, the global food supply would be threatened, potentially leading to food shortages and increased food prices. Current beehive monitoring solutions in the market are often prohibitively expensive, some commercial beehive monitoring solutions can cost upwards of thousands of dollars. This makes them inaccessible to many small-scale beekeepers. To help protect bee health and ensure the survival of thousands of plant species worldwide, this project aims to create an accessible solution for individuals to monitor the health and activity of bee hives. The solution would use cheap and accessible tools to capture the activity of the bees, analyze it with local weather data, and alert the user when the actual activity is significantly different from the prediction, thus allowing beekeepers to more effectively tend to their many hives around the world.
Recommended Citation
Lu, Yen-Jung; Fong, Jason; Zhang, Cheng; and Tieu, Chan Nam, "A Study of Processing Beehive Monitoring Data in Edge and Cloud" (2023). Computer Science and Engineering Senior Theses. 243.
https://scholarcommons.scu.edu/cseng_senior/243