Integration of AI in Identifying and Treating Stem Canker in Dragon Fruit Plants Caused by Neocytalidium Species

Abstract

Stem canker caused by Neocytalidium species poses a significant threat to the cultivation of dragon fruit (Hylocereus spp.). While traditional methods of identification and treatment require significant time and labor, the advancement of artificial intelligence (AI) offers a new frontier for precision agriculture. This paper proposes the development of an AI-based model to diagnose and treat stem canker in dragon fruit plants with greater accuracy, efficiency, and scalability. By leveraging machine learning algorithms, image recognition, and real-time data analysis, the proposed model could revolutionize agricultural disease management, enhancing crop yield and sustainability.