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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 ...
Feature Selection Approach to Improve Malaria Prediction Model’s Performance for High- and Low-Endemic Areas of Tanzania
(Springer Link, 2024-06)
Malaria remains a significant cause of death, especially in sub-Saharan Africa, with about 228
million malaria cases worldwide. Parasitological tests, like microscopic and rapid diagnostic
tests (RDT), are the recommended ...
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 ...
Computer Science Education in Selected Countries from Sub-Saharan Africa
(ACM Inroads, 2024-02-20)
Computer Science education in sub-Saharan Africa has
evolved over the past decades. The number of institutions
offering distinct undergraduate programs has grown, thus
increasing the number of students enrolling in the ...
Updating “machine learning imagery dataset for maize crop: A case of Tanzania” with expanded data to cover the new farming season
(Elsevier Inc., 2024-03-23)
Maize Lethal Necrosis (MLN) and Maize Streak Virus (MSV)
are among maize diseases which affect productivity in Tan-
zania and Africa at large. These diseases can be detected
early for timely interventions and minimal ...
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 ...
Deep learning models for the early detection of maize streak virus and maize lethal necrosis diseases in Tanzania
(International Journal of Innovative Research & Development, 2024-08-16)
Agriculture is considered the backbone of Tanzania’s economy, with more
than 60% of the residents depending on it for survival. Maize is the country’s
dominant and primary food crop, accounting for 45% of all farmland ...
The Artificial Neural Network-Based Smart Number Plate for Vehicles with Real-Time Traffic Signs Recognition and Notification
(Springer Link, 2024-06-30)
The world is advancing technologically in all sectors, including intelligent transportation, whereby various vehicles’ movements are monitored and controlled remotely. These technologies simplify the tasks in traffic control ...
Convolutional Neural Network Deep Learning Model for Early Detection of Streak Virus and Lethal Necrosis in Maize: A Case of Northern-Highlands, Tanzania
(Springer Link, 2024-06-30)
In the Tanzanian context, maize is the dominant food crop that serves as a significant common and traditional food being grown in about 45% of the country’s farmland. However, its productivity is hindered by diseases that ...
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 ...