Recent spectacular progress in computational technologies has led to an unprecedented
boom in the field of Artificial Intelligence (AI). AI is now used in a plethora of research areas …

During the last decades, researchers have developed novel computing methods to help
viticulturists solve their problems, primarily those linked to yield estimation of their crops …

Deep learning-based plant disease detection has gained significant attention from the
scientific community. However, various aspects of real horticultural conditions have not yet …

Identifying diseases from images of plant leaves is one of the most important research areas
in precision agriculture. The aim of this paper is to propose an image detector embedding a …

Artificial intelligence (AI) has emerged as a fundamental component of global agricultural
research that is poised to impact on many aspects of plant science. In digital phenomics, AI …

Globally, pests and plant diseases severely threaten forestry and agriculture. Plant
protection could be substantially enhanced by using noncontact, extremely effective, and …

This article introduces Black gram Plant Leaf Disease (BPLD) dataset, which is scientifically
called as Vigna Mungo and is popularly known as Urad in India. It is widely considered to be …

Extending over millennia, grapevine cultivation encompasses several thousand cultivars.
Cultivar (cultivated variety) identification is traditionally dealt by ampelography, requiring …

Esca is one of the most common grape leaf diseases that seriously affect grape yield,
causing a loss of global production in the range of 20%–40%. Therefore, a timely and …

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