Precision Agriculture (PA) promises to boost crop productivity while reducing agricultural
costs and environmental footprints, and therefore is attracting ever-increasing interests in …

Weeds and crops engage in a relentless battle for the same resources, leading to potential
reductions in crop yields and increased agricultural costs. Traditional methods of weed …

The use of a low-cost five-band multispectral camera (RedEdge, MicaSense, USA) and a
low-altitude airborne platform is investigated for the detection of plant stress caused by …

Unmanned aerial vehicles (UAV) and the sensors they can be equipped with are becoming
more technologically advanced and common place within the agricultural industry. The …

Land cover classification is able to reflect the potential natural and social process in urban
development, providing vital information to stakeholders. Recent solutions on land cover …

Accurate weed map** is a prerequisite for site-specific weed management to enable
sustainable agriculture. This work aims to analyse (spectrally) and map** blackgrass …

Unmanned aerial vehicles (UAVs) coupled with machine learning approaches have
attracted considerable interest from academicians and industrialists. UAVs provide the …

This article reviews the main recent applications of multi-sensor remote sensing and Artificial
Intelligence techniques in multivariate modelling of agricultural drought. The study focused …

The processing of multispectral images acquired with embedded cameras in unmanned
aerial vehicles (drones) has brought new opportunities for precision agriculture. In this study …

In recent years, deep learning has significantly reshaped numerous fields and applications,
fundamentally altering how we tackle a variety of challenges. Areas such as natural …