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Revolutionizing Agriculture: Embracing Modern Strategies for the Management of Coffee Leaf Rust Disease

  • Raka Thoriq Araaf,
  • Ivana Joy Pauline Pangaribuan,
  • Tofael Ahamed

摘要

Millions of people throughout the world enjoy coffee every day, and coffee-growing regions rely on this product for their economic growth. Coffee is one of the most valuable commodities in the world. Unfortunately, the sustainability of this popular drink is threatened by a disease called coffee leaf rust. Coffee leaf rust is a devasting disease caused by fungus that can damage coffee plantations and affect coffee production globally. Due to the persistence and adaptability of coffee leaf rust, coffee farmers are forced to address this disease on a continual basis. Thus, the use of modern pest and disease management methods to ensure the continued production of coffee and protect the livelihoods of those who depend on this crop is essential. This chapter highlights the transformative potential of deep learning in detecting coffee leaf rust in the fight against coffee leaf rust disease, which can offer a ray of hope for the advanced management of coffee leaf rust in the future.