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

Plant stresses have been monitored using the imaging or spectrometry of plant leaves in the
visible (red-green-blue or RGB), near-infrared (NIR), infrared (IR), and ultraviolet (UV) …

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

Remote sensing (RS) of biotic stress is based on the assumption that stress interferes with
photosynthesis and physical structure of the plant at tissue and canopy level, and thus …

Plant stress monitoring is of crucial importance to understand the plant response to
environmental conditions, and has been widely applied in various fields including biology …

This review outlines the advances achieved in monitoring natural and anthropogenic plant
stressors by hyperspectral remote sensing over the last 50 years. A broad diversity of …

The potential of close-range hyperspectral imaging (HSI) as a tool for detecting early
drought stress responses in plants grown in a high-throughput plant phenotyping platform …

High spectral resolution spectrometers were used to detect optical signals of ongoing plant
stress in potted white clover canopies subjected to ozone fumigation. The case of ozone …

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

Farmers and breeders aim to improve crop responses to abiotic stresses and secure yield
under adverse environmental conditions. To achieve this goal and select the most resilient …