Unmanned aerial vehicles (UAVs) are becoming a valuable tool to collect data in a variety of
contexts. Their use in agriculture is particularly suitable, as those areas are often vast …

This paper provides an overview of the recent developments in remote sensing technology
and machine learning algorithms for estimating important biophysical and biochemical …

Background Spectral imaging is a key method for high throughput phenotyping that can be
related to a large variety of biological parameters. The Normalised Difference Vegetation …

Abstract The Leaf Area Index (LAI) is an ecophysiology key parameter characterising the
canopy-atmosphere interface where most of the energy fluxes are exchanged. However …

The accurate and rapid estimation of the aboveground biomass (AGB) of rice is crucial to
food security. Unmanned aerial vehicles (UAVs) mounted with hyperspectral sensors can …

Determining a precise nitrogen fertilizer requirement for maize in a particular field and year
has proven to be a challenge due to the complexity of the nitrogen inputs, transformations …

Nitrogen (N) content is an important basis for the precise management of wheat fields. The
application of unmanned aerial vehicles (UAVs) in agriculture provides an easier and faster …

Single-plant growth monitoring aids precision agricultural decision-making to reduce the
costs related to pesticides, fertilizers, and labor. This study integrated visible/multi-spectral …

Climate change and competition among water users are increasingly leading to a reduction
of water availability for irrigation; at the same time, traditionally non-irrigated crops require …

Coffee beverage quality is highly correlated with the degree of fruit ripeness. In this sense,
monitoring fruit ripeness is of utmost importance for harvest planning and, especially for …