Browsing Academic submissions (CEDAT) by Subject "Passion fruit diseases"
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Deep-learning based detector for identification of woodiness disease in passion fruits
(Makerere University, 2019-06)In this project, an AI-based algorithm based on a combination of Faster Regional Convolutional Neural Network (F-RCNN) and Residual Network combination framework was developed. The algorithm detects woodiness, a passion ...