The development of hyperspectral remote sensing equipment, in recent years, has provided
plant protection professionals with a new mechanism for assessing the phytosanitary state of …

Highlights•The challenges involved in the automatic identification of plant diseases are
characterised.•The impact of those challenges on current proposals is discussed.•Possible …

Rice leaf infections are a common hazard to rice production, affecting many farmers all over
the world. Early detection and treatment of rice leaf infection are critical for promoting healthy …

Hyperspectral images can capture the spectral characteristics of surfaces and objects,
providing a 2-D spacial component to the spectral profiles found in a given scene. There are …

Automatic identification of diseases through hyperspectral images is a very critical and
primary challenge for sustainable farming and gained the attention of researchers during the …

Classification of healthy and diseased wheat heads in a rapid and non-destructive manner
for the early diagnosis of Fusarium head blight disease research is difficult. Our work applies …

Hyperspectral imaging has attracted great attention as a non-destructive and fast method for
seed quality and safety assessment in recent years. The capability of this technique for …

Early diagnosis of fusarium head blight (FHB) presence and intensity in wheat can assist
decision support for reducing disease spread and minimizing mycotoxin contamination in …

Highlights•An algorithm for identifying multiple plant diseases is proposed.•It is based on
image processing applied to conventional colour images.•It does not depend on any input or …

Fusarium head blight (FHB) is among the most devastating fungal diseases in cereal crops,
reducing yield, and affecting human and livestock health through the production of …