This paper applies deep convolutional neural network (CNN) to identify tomato leaf disease
by transfer learning. AlexNet, GoogLeNet, and ResNet were used as backbone of the CNN …

Potato, with its several processed products, has a major rank on the human diet in many
countries. Among electronic-based methods that have been used for tracking and rapidly …

Agricultural diseases and insect pests are one of the most important factors that seriously
threaten agricultural production. Early detection and identification of pests can effectively …

In agriculture, timely disease control and management plays an important role in optimizing
yield, improving harvest quality and minimizing loss to farmers. Automated disease …

Human posture classification (HPC) is the process of identifying a human pose from a still
image or moving image that was recorded by a digicam. This makes it easier to keep a …

Plant disease detection offers a favorable step towards sustainable agriculture and
disinfected crops. Early detection of disease in plants ie, disease control and management …

Pest infestation of crops and plants impacts agricultural development. Generally, farmers or
specialist observe the plants with the naked eye to recognise and diagnose ailments …

Tomato production is affected by various threats, including pests, pathogens, and nutritional
deficiencies during its growth process. If control is not timely, these threats affect the plant …

Common scab (CS) is a major bacterial disease causing lesions on potato tubers, degrading
their appearance and reducing their market value. To accurately grade scab-infected potato …

Agriculture is one of the major growing sectors in India, and plant disease is the key factor
that affects the economy of the country to a large extend. Plant disease management has …