Plant-leaf disease detection is one of the key problems of smart agriculture which has a
significant impact on the global economy. To mitigate this, intelligent agricultural solutions …

The recent revolutions in Computer Vision (CV) and Artificial Intelligence (AI) techniques
have found many applications in grapevine and smart agriculture processes. Recently …

The identification of corn leaf diseases in a real field environment faces several difficulties,
such as complex background disturbances, variations and irregularities in the lesion areas …

The presence of various maize plant leaf diseases has significantly decreased both the
quality and quantity of crop production. In order to take the appropriate steps to prevent the …

Grape leaf disease is a primary factor affecting grape yield and impeding the growth of the
industrial economy. Currently, high-quality datasets are required for deep recognition …

Introduction Tobacco brown spot disease caused by Alternaria fungal species is a major
threat to tobacco growth and yield. Thus, accurate and rapid detection of tobacco brown spot …

BACKGROUND Tomato is one of the most important vegetables in the world. Timely and
accurate identification of tomato disease is a critical way to ensure the quality and yield of …

Pests are a major threat to the security of global agricultural production. Therefore, accurate
identification of pests is vital for farmers to increase production and the associated income …

Accurate identification of soybean leaf disease is of utmost importance for its cultivation and
fine management, as it is a critical factor contributing to the decreased quality and yield of …

Introduction Corn is one of the world's essential crops, and the presence of corn diseases
significantly affects both the yield and quality of corn. Accurate identification of corn diseases …