From September 1st to 7th, 2024, I had the incredible opportunity to attend the Deep Learning Indaba (DLI2024) Conference at Amadou Mahtar Mbow University (UAM) in Dakar, Senegal. This premier gathering brought together over 600 AI researchers, practitioners, and enthusiasts from across Africa and beyond, fostering a vibrant community dedicated to advancing AI on the continent. Thanks to full funding from DLI, I was able to engage in this enriching experience, which featured keynotes, tutorials, workshops, panel discussions, and paper presentations. The conference served as a vital platform for knowledge exchange, collaboration, and discussions on the unique challenges and opportunities shaping AI development in Africa.

One of the highlights of my participation was presenting a poster titled “Deep Learning-based Quantification of Tuta absoluta’s Damage on Tomato Plants” This research focuses on leveraging deep learning techniques to accurately assess the damage caused by Tuta absoluta, a destructive pest that threatens tomato crops globally. I was honored to have this work recognized among the Best Poster prizes, a testament to the significance of AI-driven solutions in addressing agricultural challenges. The feedback and discussions following my presentation were invaluable, offering new perspectives and potential collaborations. Beyond the technical sessions, DLI2024 reinforced the importance of empowering Africans not just as consumers of AI but as active contributors and leaders in its development. The conference was an inspiring reminder of the collective vision to shape AI for societal good, and I look forward to applying the insights gained to further my research and contribute to Africa’s growing AI ecosystem.

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