Coffee bean production can encounter challenges due to fluctuations in global coffee prices,
impacting the economic stability of some countries that heavily depend on coffee production …

Plant diseases cause significant damage to agriculture, leading to substantial yield losses
and posing a major threat to food security. Detection, identification, quantification, and …

The agricultural sector, a cornerstone of economies worldwide, faces significant challenges
due to plant diseases, which severely affect crop yield and quality. Early and accurate …

Plant disease diagnosis in smart agriculture is a crucial issue that carries substantial
economic significance on a global scale. To address this challenge, intelligent and smart …

The coffee industry plays a crucial role in global agriculture and economy. Monitoring the
health and classification of coffee plants is vital for optimizing yield and ensuring sustainable …

Ginkgo biloba L. is a rare dioecious species that is valued for its diverse applications and is
cultivated globally. This study aimed to develop a rapid and effective method for determining …

Leaf mining, rust, bacterial blight, and berry pathology are major diseases in coffee plants.
These diseases not only reduce yield but also affect quality. Early detection and targeted …

The increased demand for food is accelerating plant diseases globally. Hence, a manual
process of detection of plant diseases is almost impossible. Artificial intelligence (AI) can …

Rust, phoma, and miner among other coffee leaf diseases seriously jeopardise world coffee
output, therefore affecting both yield and quality. Effective control and sustainable farming …

Plant diseases provide challenges for the agriculture sector, notably to produce Arabica
coffee. Recognising issues on Arabica coffee leaves is a first step in avoiding and curing …