The current development in deep learning is witnessing an exponential transition into
automation applications. This automation transition can provide a promising framework for …

Plant diseases cause considerable economic loss in the global agricultural industry. A
current challenge in the agricultural industry is the development of reliable methods for …

It is important to develop accurate disease management systems to identify and segment
corn disease lesions and estimate their severity under complex field conditions. Although …

Agriculture plays a significant role in every nation's economy by producing crops. Plant
disease identification is one of the most important aspects of maintaining an agriculturally …

Agriculture plays an essential role in Mexico's economy. The agricultural sector has a 2.5%
share of Mexico's gross domestic product. Specifically, tomatoes have become the country's …

This paper proposes a novel approach for extracting deep features and classifying diseased
plant leaves. The agriculture industry is negatively impacted by plant diseases causing crop …

Identifying corn diseases under field conditions is crucial for implementing effective disease
management systems. Deep learning (DL)-based plant disease identification using deep …

In the last ten years, there has been an upsurge in focus on sustainable agribusiness as a
response to the bio-hazards posed by the effects of climate change, severe weather events …

Plant diseases and pests have always been major contributors to losses that occur in
agriculture. Currently, the use of deep learning-based convolutional neural network models …

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 …