Browsing School of Biological and Physical Sciences by Author "Ngoga, Said Rutabayiro"

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Application of computing techniques in monitoring black tea processing for improved quality: review and future directions

Kimutai, Gibson; Ngenzi, Alexander; Ngoga, Said Rutabayiro; Ramkat, Rose C.; Forster, Anna (2020)

Tea (Camellia Sinensis) is among the most popular crops worldwide. The crop has been cultivated for more than 300 years and is a source of various categories of tea which include: green, black, yellow, white Oolong, ...
An internet of things (IoT)-based optimum tea fermentation detection model using convolutional neural networks (CNNs) and majority voting techniques

Kimutai, Gibson; Ngenzi, Alexander; Ramkat, Rose; Förster, Anna; Ngoga, Said Rutabayiro (AMA, 2021)

Tea (Camellia sinensis) is one of the most consumed drinks across the world. Based on processing techniques, there are more than 15 000 categories of tea, but the main categories include yellow tea, Oolong tea, Illex tea, ...
Offloading an energy-efficient iot solution to the edge: a practical solution for developing countries

Kimutai, Gibson; Ngenzi, Alexander; Ngoga, Said Rutabayiro; Förster, Anna (IEEE, 2021)

Agriculture contributes to the economies of many developing countries. Tea is the most popular crop in Kenya as it contributes majorly to her economy. Among the various stages of processing tea, fermentation is the most ...

Now showing items 1-3 of 3

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