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Now showing items 11-20 of 25
An embedded, machine learning-enabled platform for in-field screening of plant disease and pest damage.
(Makerere University, 2023-01-25)
The fall armyworm pest caught farmers and agricultural organizations by surprise when it hit most major maize farming regions in Uganda. Currently, both large-scale and small-scale farmers rely on manual observation of the ...
Anomaly Detection in low cost environmental sensor data using Machine learning
(Makaerere university, 2023-02-06)
In 2021, a system was deployed at the makerere university weather station. This system consisted of four sensors that record temperature and humidity. These sensors are the SHT, HTC,BME and HDU. In environmental monitoring, ...
Using machine learning in bee acoustic analysis to detect presence or absence of a queen bee in a Ugandan bee hive
(Makerere University, 2023-08-09)
Bees inside a beehive produce different sounds in form of vibration and acoustic signals
when responding to specific stimuli inside the hive. These vibroacoustic signals can vary with
different states of the beehive ...
Detection of botnet attacks in real-time using machine learning
(Makerere University, 2023-07)
Distributed Denial of Service (DDoS) attacks have become a major threat to current computer networks. DDoS attacks are still some of the most sophisticated attacks carried out with the use of Botnets which are interconnected ...
Detection of botnet attacks in real-time using machine learning
(Makerere University, 2023)
Distributed Denial of Service (DDoS) attacks have emerged as a major threat to contemporary computer networks. These attacks utilize sophisticated Botnets, which comprise interconnected computers under the control of a ...
A machine learning approach to IEEE 802.11 network intrusion detection
(Makerere University, 2022-09-30)
Intrusions Detection Systems have been developed to protect wireless local area networks against intrusions; there are two types namely Anomaly-based Intrusions Detection Systems and Signature-based Intrusions Detection ...
Prototype and machine learning integration for varroa mite detection in bees.
(Makerere University, 2023-09-25)
This report presents the development and implementation of a prototype system for Varroa mite detec- tion in bees, leveraging the integration of machine learning techniques and dual-camera setup. Varroa mites (Varroa ...
Development of a deep learning model for the classification and detection of maize leaf diseases.
(Makerere University, 2023-07-07)
Maize leaf blight and maize streak virus are global diseases that severely impact
maize crops, resulting in significant yield losses. Early detection of these diseases
is crucial for preventing their spread and minimizing ...
Design of a crop yield prediction model using machine learning and a smart irrigation system
(Makerere University, 2022-04-19)
Agriculture is one of the strong pillars of Uganda’s economy. Considering that very few
technologies exist to aid the farmers in selecting the right crops depending on the
environmental factors. Moreover, most irrigation ...
Comparison of machine learning and rainfall-runoff models for runoff prediction in urban drainage systems
(Makerere University, 2023-07-14)
This thesis presents a comprehensive investigation into the effectiveness of machine learning
models in comparison to traditional rainfall-runoff models for flood prediction, utilizing the
Hydrologic Engineering Center's ...