Browsing Computational and Communication Science Engineering by Author "Mbelwa, Hope"
Now showing items 1-4 of 4
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Deep Convolutional Neural Network for Chicken Diseases Detection
(International Journal of Advanced Computer Science and Applications, 2021)For many years in the society, farmers rely on experts to diagnose and detect chicken diseases. As a result, farmers lose many domesticated birds due to late diagnoses or lack of reliable experts. With the available ... -
Deep learning-based mobile application for the enhancement of pneumonia medical imaging analysis: A case-study of West-Meru Hospital
(Elsevier, 2024-09)Pneumonia remains a significant global health challenge, demanding innovative solutions. This study presents a novel approach to pneumonia diagnosis and medical imaging analysis, leveraging advanced technologies. The study ... -
Identification of Resistant Common Bean Genotypes to Foliar Diseases using Hyperspectral Data
(IEEE, 2023-11-15)Common bean is one of many legumes (family Fabaceae) widely cultivated for their edible seeds, seedpods, and leaves. Despite its benefits and life dependency especially in sub-Saharan Africa, production of improved common ... -
Image - based poultry disease detection using deep convolutional neural network
(NM-AIST, 2021-07)The poultry sector in the country is highly affected by diseases including Coccidiosis, Salmonella and Newcastle that have a significant impact on production. Lack of reliable information and proper methods of farming ...
