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 ...

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 ...

Applying deep learning models requires design and optimization when solving multi- faceted artificial intelligence tasks. Optimization relies on human expertise and is achieved only with great exertion. The current ...

Magnaporthe oryzae, the pathogen that causes rice blast disease, poses a significant global threat to rice pro duction. This disease may lead to yield losses exceeding 30 % in susceptible rice varieties. There is an urgent ...

Stock price prediction models help traders to reduce investment risk and choose the most profitable stocks. Machine learning and deep learning techniques have been applied to develop various models. As there is a lack ...

With the advances in technology, computer vision applications using deep learning methods like Convolutional Neural Networks (CNNs) have been extensively applied in agriculture. Deploying these CNN models on mobile phones ...

Coccidiosis, Salmonella, and Newcastle are the common poultry diseases that curtail poultry production if they are not detected early. In Tanzania, these diseases are not detected early due to limited access to agricultural ...