Several factors associated with disease diagnosis in plants using deep learning techniques
must be considered to develop a robust system for accurate disease management. A …

The artificial intelligence-assisted deep learning approach plays a significant task in
identifying diseases through a large set of plant leaf images. Thus, the major aim of the …

Agriculture is an inevitable area for research that must be prioritized as the world population
is continuously growing. To meet agricultural product demand, agricultural processes from …

Grain mildew is a significant hazard that causes food loss and poses a serious threat to
human health when severe. Therefore, effective prediction and determination of mildew …

Plant diseases can severely degrade the quality and productivity of any crop. Hence, an
automated forecasting model can be developed to help the farmers and agricultural experts …

Agriculture constitutes a sector with a considerable environmental impact, a concern that is
poised to increase with the projected growth in population, thereby amplifying implications …

The automatic identification of tomato leaf disease has been regarded as a subjective,
laborite as well as time-consuming technique. It is crucial to identify the small discriminative …

Sustainable intensification in Indian agriculture aims to improve agricultural productivity
without harming natural resources or the environment. Plant diseases that harm the leaves …

Efficient management of plant diseases and their spread within fields requires a system
capable of early and accurate disease identification and its severity estimation. Many plant …

The emergence of new diseases on plant leaves poses a substantial threat to global food
safety and agricultural productivity. To mitigate this risk, accurate and swift detection of plant …