About Fikadu Berie
I am an MSc Computer Science graduate and researcher interested in Artificial Intelligence, Machine Learning, Deep Learning, and Explainable AI. My research focuses on applying AI to real-world challenges, particularly in healthcare and agriculture, with interests in computer vision, Vision Transformers, attention mechanisms, and interpretable machine learning. I am interested in research collaboration and developing practical, reliable, and impactful AI solutions.
Popular Content
I am pleased to share my open-access research on an interpretable Vision Transformer for joint wheat leaf disease classification and pesticide recommendation, integrating Grad-CAM explainability for transparent precision-agriculture decision support
Recent Comments
I’m pleased to share this open-access research on interpretable AI for wheat disease diagnosis and pesticide recommendation. I welcome feedback, discussion, and collaboration with researchers working in agricultural AI, computer vision, explainable AI, and precision agriculture.