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

Efficient and rational monitoring of plant health is an essential prerequisite for ensuring
optimal crop production and resource management in the field of agriculture. Computer …

As advancements in agricultural technology unfold, machine learning and deep learning
approaches are gaining interest in robust plant disease identification. Early disease …

Plant diseases are one of the primary causes of major economic losses in the agriculture
industry worldwide. The continuous monitoring of plant health and early detection of …

The symptoms of plant diseases are evident in different parts of a plant; however leaves are
found to be the most commonly observed part for detecting an infection. Researchers have …

Plant pathogens can decimate crops and render the local cultivation of a species
unprofitable. In extreme cases this has caused famine and economic collapse. Timing is vital …

Crops' production and quality of yields are heavily affected by crop diseases which cause
adverse impacts on food security as well as economic losses. In India, agriculture is a prime …

Globally, all the major crops are significantly affected by diseases every year, as manual
inspection across diverse fields is time-consuming, tedious, and requires expert knowledge …

Plant diseases can significantly reduce crop yield and product quality. Visual inspections of
plants by human observers for disease identification are time-consuming, costly, and prone …

Plant phenotyping has been recognized as a bottleneck for improving the efficiency of
breeding programs, understanding plant-environment interactions, and managing …