Significant advances in the field of digital image processing have been achieved in recent
years using deep learning, which has significantly exceeded previous methods. Deep …

Disease and pest are the main factors causing grape yield reduction. Correct and timely
identification of these symptoms are necessary for the vineyard. However, the commonly …

Deep learning is a cutting-edge image processing method that is still relatively new but
produces reliable results. Leaf disease detection and categorization employ a variety of …

This paper considers the task of rice leaf disease identification using transfer-learned deep
learning models. The similarity between various symptoms and the inability to distinguish …

Research on sustainable computing in agriculture has a great potential as an effective way
to solve most agricultural technology bottlenecks, save resource costs, and drive sustainable …

Agriculture has undergone a remarkable transformation, transitioning from traditional
methods that were used for centuries to technology-driven practices. The advent of image …

Plant leaf diseases cause a decrease in crop yield and degrade the quality, which presents
the urgent need for leaf disease identification. Recently, deep learning technologies …

Grape downy mildew (GDM) disease is a common plant leaf disease, and it causes serious
damage to grape production, reducing yield and fruit quality. Traditional manual disease …

Plant diseases are a critical threat to the agricultural sector. Therefore, accurate plant
disease classification is important. In recent years, some researchers have used synthetic …

In practice, acquiring and annotating data in specialized domains can be costly, thereby
constraining the performance and applicability of deep learning. Utilizing generative models …