The severity of plant diseases, traditionally the proportion of the plant tissue exhibiting
symptoms, is a key quantitative variable to know for many diseases and is prone to error …

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 …

Spectral vegetation indices (SVIs) have been shown to be useful for an indirect detection of
plant diseases. However, these indices have not been evaluated to detect or to differentiate …

Automatic methods for an early detection of plant diseases are vital for precision crop
protection. The main contribution of this paper is a procedure for the early detection and …

Quantifying photosynthetic activity at the regional scale can provide important information to
resource managers, planners and global ecosystem modelling efforts. With increasing …

This study examines the potential of hyperspectral sensor systems for the non-destructive
detection and differentiation of plant diseases. In particular, a comparison of three fungal leaf …

Optical sensors have shown high capabilities to improve the detection and monitoring of
plant disease development. This study was designed to compare the feasibility of different …

Plant leaves collectively represent the largest above-ground surface area of plant material in
virtually all environments. Their optical properties determine where and how energy and gas …

In this paper, thermal (8-13 µm) and hyperspectral imaging in visible and near infrared
(VNIR) and short wavelength infrared (SWIR) ranges were used to elaborate a method of …

Phytopathogenic fungi may affect both the cuticular and the stomatal conductance of plant
tissue resulting in significant modifications of leaf temperature. Venturia inaequalis colonizes …