Remote detection and monitoring of the vegetation responses to stress became relevant for
sustainable agriculture. Ongoing developments in optical remote sensing technologies have …

Accurate yield estimation and optimised nitrogen management is essential in agriculture.
Remote sensing (RS) systems are being more widely used in building decision support tools …

Thermal infrared (TIR) multi-/hyperspectral and sun-induced fluorescence (SIF) approaches
together with classic solar-reflective (visible, near-, and shortwave infrared reflectance …

The detection and identification of plant diseases is crucial for an appropriate and targeted
application of plant protection measures in crop production. Recently, intensive research …

Drought is one of the major stress factors affecting the growth and development of plants. In
this context, drought-related losses of crop plant productivity impede sustainable agriculture …

In the context of climate change, the occurrence of water stress in forest ecosystems, which
are solely dependent on precipitation, has exhibited a rising trend, even among species that …

To further assess the sensitivity of crop chlorophyll and structure based on UAV vegetation
indices (VIs) to maize water stress, a study was carried out in a maize field located in Inner …

Highlights•Challenges detecting water status in greenhouses by remote sensing
presented.•Sensors available for reflectance sensing and applications are …

The detection of water stress in vineyards plays an integral role in the sustainability of high-
quality grapes and prevention of devastating crop loses. Hyperspectral remote sensing …

Precise monitoring of agricultural crop biomass and yield quantities is critical for crop
production management and prediction. The goal of this study was to compare …