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Mobile-Based convolutional neural network model for the early identification of banana diseases
(Elsevier, 2024-02-29)
This study aimed to deploy a deep learning model in a mobile application for the early identification of Fusarium
Wilt and Black Sigatoka in bananas. In this paper, a Convolutional Neural Network (CNN) model for the ...
Mobile-Based convolutional neural network model for the early identification of banana diseases
(Elsevier, 2024-02-29)
This study aimed to deploy a deep learning model in a mobile application for the early identification of Fusarium
Wilt and Black Sigatoka in bananas. In this paper, a Convolutional Neural Network (CNN) model for the ...
Image Segmentation Deep Learning Model for Early Detection of Banana Diseases
(Taylor & Francis online, 2024-12-14)
Bananas are among the most widely produced perennial fruits and staple food crops that are highly affected by numerous diseases. When not managed early, Fusarium Wilt and Black Sigatoka are two of the most detrimental ...
Mask R-CNN Model for Banana Diseases Segmentation
(Springer Link, 2024)
Early detection of banana diseases is necessary for developing an effective control plan and minimizing quality and financial losses. Fusarium Wilt Race 1 and Black Sigatoka diseases are among the most harmful banana ...
Banana Leaves Imagery Dataset
(Springer Nature, 2025-03-21)
In this work, we present a dataset of banana leaf imagery, both with and without diseases. The dataset consists of 11,767 images, categorized as follows: 3,339 healthy images, 3,496 images of leaves affected by Black ...