Ahmet Kaan Ipekoren
Machine learning platform for beehive health monitoring.
Rel. Fabrizio Riente, Giovanna Turvani. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2023
Abstract
When honeybees (Apis mellifera L.) are compared with other insects, they are known for helping the environment and other animals. The significance of bees goes beyond just producing honey that are consumed by humans for thousands of years. They also produce beeswax, which is used in a variety of products, including candles, cosmetics, and food. Other than production, they are important pollinators for a variety of crops, including fruits, vegetables, and nuts. By pollinating, they help to increase crop yields, and improve the quality of produce. Recently, various stress factors have contributed to a decrease in honey bee colonies such as climate change, chemical usage in farming, parasites, diseases and loss of meadows and forests.
With monitoring, early detection of beehive status could be done and early detection is important for the survival of the beehive
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