AIMC Topic: Beekeeping

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Assessing foraging landscape quality in Quebec's commercial beekeeping through remote sensing, machine learning, and survival analysis.

Journal of environmental management Jan 21, 2025
Honey bees (Apis mellifera) play an important role in our agricultural systems. In recent years, beekeepers have reported high colony mortality rates in several parts of the world. Inadequate foraging landscapes are often cited as a major factor dete...
Machine Learning Animals Remote Sensing Technology Bees Pollination Quebec Beekeeping
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Investigating the impact of climate variables on the organic honey yield in Turkey using XGBoost machine learning.

Journal of the science of food and agriculture Aug 9, 2024
BACKGROUND: The Turkish organic honey industry, a major player in the global market, faces challenges due to climate fluctuations. Understanding the influence of climate factors on honey production is vital for sustainable farming and economic stabil...
Machine Learning Temperature Wind Animals Turkey Honey Bees Climate Change Humidity Organic Agriculture Beekeeping
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Analysis of Varroa Mite Colony Infestation Level Using New Open Software Based on Deep Learning Techniques.

Sensors (Basel, Switzerland) Jun 13, 2024
Varroa mites, scientifically identified as , pose a significant threat to beekeeping and cause one of the most destructive diseases affecting honey bee populations. These parasites attach to bees, feeding on their fat tissue, weakening their immune s...
Software Animals Deep Learning Image Processing, Computer-Assisted Bees Varroidae Mite Infestations Beekeeping
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