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All Journal Palmyra Fiber as Additional Materials on Solid Concrete Brick of Aggregate Scientific Journal of Engineering Research
Onukwugha, Chinwe Gilean
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Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Engineering Materials Science & Nanotechnology

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Global Mindset and Sustainable Development in Africa- A Synergy Ndum, Victor Etim; Onukwugha, Chinwe Gilean
Mediterranean Journal of Social Sciences Vol. 3 No. 13 (2012): November 2012 - Special Issue
Publisher : Richtmann Publishing

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Abstract

Global managers and leaders have exceptionally open minds. They most often respect how differentcountries do things and they have the imagination to appreciate why they do them that way. But, they arealso incisive. They sort through the debris of cultural excuses and find opportunities to innovate .There isneed to develop the global mindset of leaders/managers, teams, individuals, and the entire Africanpopulace to enhance global sustainability. The existing scenario in Africa indicates that it does not haveenough leaders within global competencies. It is essential to identify African leadership potentials that helpto sustain competitive advantage in a dynamic global/ local environment. This advantage of course isachievable through global mindset development. The concept and idea of sustainable development iswidely accepted, and good progress has been made on sustainable development metrics; yet itsimplementation has been largely unsuccessful especially in Africa. The position of this paper is that globalmindset remains a sine qua non for sustainable development anywhere in the world. A synergy betweenglobal mindset and sustainable development has therefore been established. It was recommended amongothers, that African leaders should be more proactive and also see the development of global mindset as apriority.
Ensemble Learning Framework for Image-Based Crop Disease Detection Using CNN Models Betrand, Chidi Ukamaka; Benson-Emenike, Mercy Eberechi; Kelechi, Douglas Allswell; Onukwugha, Chinwe Gilean; Oragba, Nneka Martina
Scientific Journal of Engineering Research Vol. 1 No. 4 (2025): December
Publisher : PT. Teknologi Futuristik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64539/sjer.v1i4.2025.330

Abstract

Crop diseases pose a significant threat to global food security, causing substantial yield losses estimated at 10-40% annually. Traditional methods of disease identification, reliant on visual inspection by farmers or experts, are often subjective, time-consuming, and limited by the availability of specialists. This study proposes an ensemble learning framework for robust image-based crop disease detection, specifically designed to address the challenges of heterogeneous, non-Independent and Identically Distributed (non-IID) agricultural datasets in decentralized environments. Utilizing the Plant Village dataset, we implement a stacking ensemble model integrating diverse Convolutional Neural Networks (CNNs) such as VGG (Visual Geometry Group), ResNet, and Inception as base learners, with a meta-learner to optimize prediction fusion. The system employs comprehensive data preprocessing, including resizing, normalization, noise removal, segmentation, and augmentation, to enhance robustness against real-world variability. Transfer learning with ResNet50 was adopted as a baseline model. The baseline ResNet50 achieved 59% test accuracy across seven grape and potato disease classes. The ensemble model improved performance, attaining 63% accuracy with average precision, recall, and F1-scores of 56%, 52%, and 52% respectively. Class imbalance remained a limiting factor for certain categories. The ensemble learning approach outperformed individual models, demonstrating improved generalization across diverse datasets. Although computational demands and imbalance challenges persist, the system provides a promising AI-driven pipeline for accurate crop disease diagnosis, supporting sustainable agricultural practices.
Co-Authors Benson-Emenike, Mercy Eberechi Betrand, Chidi Ukamaka Kelechi, Douglas Allswell Ndum, Victor Etim Oragba, Nneka Martina