Technologies for Intelligent pollinator and Fruit Fly Monitoring by Mary Nsabagwa, Makerere University Julianne Sansa-Otim, Makerere University Agatha Turyagyenda, Makerere University Florence Lello, The Nelson Mandela African Institution of Science and Technology Ephrance Namugenyi, Makerere University Khemis Ben Samuel, Makerere University & University of Juba Safari Yonasi, Makerere University Contributors Mary Nsabagwa, Makerere University Julianne Sansa-Otim, Makerere University Agatha Turyagyenda, Makerere University Florence Lello, The Nelson Mandela African Institution of Science and Technology Ephrance Namugenyi, Makerere University Khemis Ben Samuel, Makerere University & University of Juba Safari Yonasi, Makerere University Background on Pollinators Pollination is vital in Food production and the general plant ecosystem Improves the quality and quantity of crops, especially fruits Bees, contribute 1/3 of the total human dietary supply Without pollinators, we would face flowering plant species would produce no seeds Background of Fruit Flies Climate change has caused increase in the number of fruit flies Fruit flies lay eggs under the skin of the fruit Hatching into larvae that feed on the fruits They cause Disruption of trade Trigger huge financial losses Need for intelligent real time monitoring of fruit flies To establish the dynamics For timely implementation of appropriate control measures Background: The problem Pollinator loss was estimated at $138.3 billion due to stressors eg. climate change, agricultural intensifications, urbanization, pesticide use, management practices, Crop sector losses were estimated to be $10.5 billion The total economy-wide losses to be $334.1 billion Understanding the bees population trends helps in designing conservation measures to protect them, and hence, improve food production Considerations for fruit fly and Bee monitoring A Smart IoT Honeybee monitoring in Low Resource Settings Intelligent Fruit Fly counting for Low Resource settings Drones for data collection in remote areas Adaptive network considerations for bee data systems THANK YOU image1.png image2.png image3.jpeg image4.png image5.jpeg image6.jpeg image7.png image8.png image9.png image10.png image11.jpeg