Olalekan Akinbo

Papers

Total Citations

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About

Dr. Olalekan Akinbo is a leading researcher at the intersection of artificial intelligence and sustainable agriculture, whose work addresses one of humanity’s most pressing challenges: feeding a projected global population of 9 billion by 2050. His key research areas include precision pest management, agricultural automation, and the application of machine learning to food security. Dr. Akinbo’s most cited paper, “Artificial Intelligence and Automation for Precision Pest Management” (2023), has already garnered 10 citations, establishing him as a rising voice in the field. In this seminal work, he explores how AI-driven technologies can revolutionize pest control, reducing reliance on chemical pesticides while increasing crop yields—a critical contribution to sustainable farming practices. His research demonstrates how automated systems and intelligent algorithms can detect, monitor, and manage pests with unprecedented accuracy, offering scalable solutions for smallholder and industrial farms alike. Dr. Akinbo’s work is notable for its direct impact on global food systems, bridging cutting-edge computational methods with real-world agricultural challenges. As a forward-thinking scholar, he continues to shape the dialogue on how technology can ensure food security in an era of climate change and population growth.