Potato is one of the most nutritious foods rich in fiber and essential vitamins and minerals.
However, potato plants may suffer from diseases such as early blight, late blight, septoria …

Early diagnosis of plant diseases is needed to promote sustainable plant protection
strategies. Applied predictive modeling over hyperspectral spectroscopy (HS) data can be …

Food security, a critical concern amid global population growth, faces challenges in
sustainable agricultural production due to significant yield losses caused by plant diseases …

This paper presents a new Remote Hyperspectral Imaging System (RHIS) embedded on an
Unmanned Aquatic Drone (UAD) for plastic detection and identification in coastal and …

In recent years, unmanned aerial vehicle (UAV) remote sensing systems have advanced
rapidly, enabling the effective assessment of crop growth through the processing and …

Leaf blast is recognized as one of the most devastating diseases affecting rice production in
the world, seriously threatening rice yield. Therefore, early detection of leaf blast is extremely …

Hyperspectral imaging has emerged as a pivotal technology in agricultural research,
offering a powerful means to non-invasively monitor stress factors, such as drought, in crops …

Fast and accurate identification of potato plant traits is essential for formulating effective
cultivation strategies. The integration of spectral cameras on Unmanned Aerial Vehicles …

When adopting remote sensing techniques in precision agriculture, there are two main
areas to consider: data acquisition and data analysis methodologies. Imagery and remote …

Timely and accurate estimation of Above-Ground-Biomass (AGB) in cotton is essential for
precise production monitoring. The study was conducted in Shaya County, Aksu Region …