Abstract
Systematic Analysis of Environmental Issues on Ecological Smart Bee Farm by Linear Regression Model
Highlights
Nowadays, beekeeping is one of the top fields for increasing employment and income for people in the world
This study focused on the analysis of the environmental issues of smart bee farms using the linear regression model
After analyzing the outside temperature, inside temperature, and humidity of three smart bee farms we find out the best prediction results giving farm is Farm 3 based on R2 values, Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Standard Error values (SE)
Summary
Nowadays, beekeeping is one of the top fields for increasing employment and income for people in the world. The key component of beekeeping is honey and one of the most popular sweet liquids made by bees using the nectar from flowers. Beekeeping has historically been carried out in different areas as part of the local culture and as part of the production of pollinators. Beekeeping is so much popular in several countries all over the world. Honey is an essential component of food culture in countries such as Korea, Japan, Bangladesh, India, etc. Beekeeping and the processing of honey can
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