Rapid improvements in deep learning (DL) techniques have made it possible to detect and
recognize objects from images. DL approaches have recently entered various agricultural …

Plant-leaf disease detection is one of the key problems of smart agriculture which has a
significant impact on the global economy. To mitigate this, intelligent agricultural solutions …

Plant diseases impact extensively on agricultural production growth. It results in a price hike
on food grains and vegetables. To reduce economic loss and to predict yield loss, early …

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 …

Deep learning plays a vital role in precise grapevine disease detection, yet practical
applications for farmer assistance are scarce despite promising results. The objective of this …

Neural computing methods pose an edge over conventional methods for drought stress
identification because of their ease of implementation, accuracy, non-invasive approach …

Diseases and nutritional deficiencies have the potential to seriously impact the production
yield and proper development of perennial species such as grapevine. The distinction …

Wheat is the most important cereal crop, and its low production incurs import pressure on the
economy. It fulfills a significant portion of the daily energy requirements of the human body …

The agricultural sector, a cornerstone of economies worldwide, faces significant challenges
due to plant diseases, which severely affect crop yield and quality. Early and accurate …

In India, grapes are one of the most important crops for business. Grapes and their
byproducts are one of India's leading exports. The leaves of grapes are susceptible to a …