Application of Computing Techniques in Monitoring Black Tea Processing for Improved Quality: Review and Future Directions. - Gibson Kimutai; Alexander Ngenzi; Said Rutabayiro Ngoga; Rose C. Ramkat; Anna Förster (SOFA, 2020)

An Optimum Tea Fermentation Detection Model Based on Deep Convolutional Neural Networks. - Gibson Kimutai; Alexander Ngenzi; Said Rutabayiro Ngoga; Ambrose K. Kiprop; Anna Förster (Data, 2020)

Offloading an Energy-Efficient IoT Solution to the Edge: A Practical Solution for Developing Countries. - Gibson Kimutai; Alexander Ngenzi; Said Rutabayiro Ngoga; Anna Förster (GHTC, 2021)

A Data Descriptor for Black Tea Fermentation Dataset. - Gibson Kimutai; Alexander Ngenzi; Said Rutabayiro Ngoga; Rose C. Ramkat; Anna Förster (Data, 2021)

An instance-based deep transfer learning approach for resource-constrained environments. - Gibson Kimutai; Anna Förster (NET4us@SIGCOMM, 2022)

A low-cost TinyML model for Mosquito Detection in Resource-Constrained Environments. - Gibson Kimutai; Anna Förster (GoodIT, 2023)

A User-Centred Interaction Design: A Holistic Approach. - Gibson Kimutai; Anna Förster (GHTC, 2024)

Domain-Adaptive TinyML Model for Efficient Pest and Disease Detection in Domestic Crops: A Practical Approach for Developing Countries. - Gibson Kimutai; Anna Förster (GoodIT, 2024)