Artificial Intelligence (AI) in Early Detection and Management of Tuta absoluta Tomato Disease: A Systematic Literature Review
Harisu Abdullahi Shehu1 , Aniebietabasi Ackley1 , Marvellous Mark2 ,Ofem Eteng3
Overview
Food security is increasingly threatened by climate change, which accelerates the spread of pests like Tuta absoluta, a major threat to global tomato crops. This study explored the potential of artificial intelligence (AI) for the early detection and management of Tuta absoluta infestations. A systematic review of 115 relevant studies highlights current AI methodologies and pest detection technologies, proposing an integrated AI approach for automatic detection and control. The findings provide actionable insights for researchers, policymakers, and stakeholders seeking sustainable, automated pest detection solutions to improve food security.
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