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 …

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 …

The analysis of infrared spectroscopy of substances is a non-invasive measurement
technique that can be used in analytics. Although the main objective of this study is to …

Every year, plant diseases cause a significant loss of valuable food crops around the world.
The plant and crop disease management practice implemented in order to mitigate …

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 …

Plant leaf diseases can affect plant leaves to a certain extent that the plants can collapse
and die completely. These diseases may drastically decrease the supply of vegetables and …

Machine learning (ML) offers new technologies in the precision agriculture domain with its
intelligent algorithms and strong computation. Oil palm is one of the rich crops that is also …

Abstract Oil palm (Elaeis guineensis Jacq.) is of the most profitable and widespread
commercial high tree crops in the tropical world, typically in Southeastern Asia. The present …

Early detection of Basal Stem Rot (BSR) disease in oil palms is an important plantation
management activity in Southeast Asia. Practical approaches for the best strategic approach …

This is a continuation of a series focused on providing a stable platform for the taxonomy of
phytopathogenic fungi and fungus-like organisms. This paper focuses on one family …