Plant phenotyping and Precision agriculture are information-and technology-oriented fields
with specific challenges and demands for the detection and diagnosis of plant disease …

Plant diseases and pests are important factors determining the yield and quality of plants.
Plant diseases and pests identification can be carried out by means of digital image …

Plant diseases are a major impendence to food security, and due to a lack of key
infrastructure in many regions of the world, quick identification is still challenging. Harvest …

Plants are susceptive to various diseases in their growing phases. Early detection of
diseases in plants is one of the most challenging problems in agriculture. If the diseases are …

In this research, we employed a deep convolutional neural network, often known as a Deep
CNN, to propose a novel approach to the detection of illnesses in the leaves of plants. In …

With the enhancement in agricultural technology and the use of artificial intelligence in
diagnosing plant diseases, it becomes important to make pertinent research to sustainable …

Recently, plant disease classification has been done by various state-of-the-art deep
learning (DL) architectures on the publicly available/author generated datasets. This …

The automatic detection, visualization, and classification of plant diseases through image
datasets are key challenges for precision and smart farming. The technological solutions …

Agricultural productivity significantly contributes to every country's economy. The grain
plants such as wheat, rice, corn (maize), barley, oats, rye, millet, and sorghum are commonly …

Computerization in the field of agriculture sees an extraordinary achievement in numerous
farming perspectives, including detection of different plant diseases. The focal point of pretty …