In recent years, the field of deep learning has played an important role towards automatic
detection and classification of diseases in vegetables and fruits. This in turn has helped in …

Due to the alarming rate of climate change, fuel consumption and emission estimates are
critical in determining the effects of materials and stringent emission control strategies. In this …

With the availability of low-cost and efficient digital cameras, ecologists can now survey the
world's biodiversity through image sensors, especially in the previously rather inaccessible …

Plants are one of the most important elements since they provide oxygen, which is
necessary for human survival. Plant recognition applications have been widely developed …

Cassava disease is one of the leading causes to the serious decline of cassava yield.
Because it is difficult to identify the characteristics of cassava disease, if not professional …

This study introduces a pioneering system for real-time classification and measurement of
concrete surface cracks, a crucial aspect of Structural Health Monitoring (SHM). We harness …

To the optimal time to conduct farming operations in the traditional agricultural production
process mainly depends on human observation and planting experience, which is time …

Technology has played an increasingly important role in daily life. Especially, technology in
object classification that comes in to make human life more comfortable as well as to help …

Accurate identification of crop varieties is an important aspect of smart agriculture, which is
not only essential for the management of later crop differences, but also has a significant …

Classification of paddy seed varieties is a critical task that determines the price and quality of
rice in the market. Deep learning methods that have been successfully applied in different …