Plant diseases affect the growth of their respective species, therefore their early identification
is very important. Many Machine Learning (ML) models have been employed for the …

Highlights•Hyperspectral imaging is an effective tool for in assessing quality
parameters.•The most abundantly used wavelengths are 601–850 nm, used in over 50% of …

The agricultural sector remains a key contributor to the Moroccan economy, representing
about 15% of gross domestic product (GDP). Disease attacks are constant threats to …

Early detection of grapevine viral diseases is critical for early interventions in order to
prevent the disease from spreading to the entire vineyard. Hyperspectral remote sensing …

This paper reviews advanced Neural Network (NN) techniques available to process
hyperspectral data, with a special emphasis on plant disease detection. Firstly, we provide a …

Gray mold is a devastating disease during the growth of strawberries, which markedly affects
strawberry yield and quality. Accurate, rapid, and nondestructive recognition in the early …

Infectious plant diseases are caused by pathogenic microorganisms, such as fungi,
oomycetes, bacteria, viruses, phytoplasma, and nematodes. Plant diseases have a …

Agriculture is a major part of the world economy as it provides food safety. However, in
recent years, it has been noted that plants are extensively infected by different diseases …

Plant diseases cause considerable economic loss in the global agricultural industry. A
current challenge in the agricultural industry is the development of reliable methods for …

One of the important and tedious task in agricultural practices is the detection of the disease
on crops. It requires huge time as well as skilled labor. This paper proposes a smart and …