Reducing agricultural losses is an effective way to sustainably increase agricultural output
efficiency to meet our present and future needs for food, fiber, fodder, and fuel. Our ever …

Plant pathogens cause yield losses in crops worldwide. Breeding for improved disease
resistance and management by precision agriculture are two approaches to limit such yield …

As global population grows rapidly, global food supply is increasingly under strain. This is
exacerbated by climate change and declining soil quality due to years of excessive fertilizer …

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) …

Plant stress detection is considered one of the most critical areas for the improvement of
crop yield in the compelling worldwide scenario, dictated by both the climate change and the …

Proximal sensing techniques have a large potential in surveying crops for the occurrence of
diseases varying in spatial and temporal distribution within crops. Incidence of plant …

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

Integrating imaging sensors and artificial intelligence (AI) have contributed to detecting plant
stress symptoms, yet data analysis remains a key challenge. Data challenges include …

Agricultural production is limited by a wide range of abiotic (eg drought, waterlogging) and
biotic (pests, diseases and weeds) stresses. The impact of these stresses can be minimized …

Optical technologies can be developed as practical tools for monitoring plant health by
providing unique spectral signatures that can be related to specific plant stresses …