Results 161 to 170 of about 7,178 (247)
Microbial volatile compounds enhance drought resilience and productivity in CAM and C3 crops
Microbial volatiles EV and CAMP, derived from Bacillus spp. and Beauveria pseudobassiana associated with agaves and cacti, respectively, enhance drought resilience and productivity in Agave tequilana and tomato. Abstract Plants interact with their associated microbiota through diverse chemical cues, including microbial volatile organic compounds (mVOCs)
Z. F. Nieves‐López +5 more
wiley +1 more source
Abstract High‐altitude exposure increases haemoglobin mass (Hbmass), a key determinant of arterial oxygen‐carrying capacity, but following descent this adaptation can regress toward baseline within 7 days. Long‐term heat acclimation has emerged as an alternative stimulus for Hbmass expansion; however, whether post‐altitude passive‐heat exposure can ...
Elliott J. Jenkins +12 more
wiley +1 more source
SMART: Speedy Measurement of Arabidopsis Rosette Traits
Abstract Most computer vision‐ and machine learning‐based plant phenotyping systems compute traits such as shape and size rather than the color distribution of the plant surface, even though color can provide important insights into plant physiology. Therefore, we developed Speedy Measurement of Arabidopsis Rosette Traits (SMART), an open‐source plant ...
Suxing Liu +5 more
wiley +1 more source
Nanozyme Aptasensor Array for Predictive Sensing of Virulent and Antibiotic-Resistant Staphylococcus Aureus strains. [PDF]
Weerathunge P +8 more
europepmc +1 more source
A systematic color correction pipeline for controlled‐environment imaging
ABSTRACT We present a stepwise color correction (CC) pipeline for controlled imaging environments. The workflow integrates flat‐field correction (FFC), gamma correction, and white‐balance correction, followed by a color‐mapping (CM) stage using machine‐learning regression—linear, partial least squares, and neural networks (NNs)—to deliver reliable CC ...
Collins Wakholi +7 more
wiley +1 more source
Abstract Fruit size, shape, color, and percent fruit rot are important quality traits for breeding cranberry (Vaccinium macrocarpon Ait.). Image analysis can be used to measure these traits, but affordable hardware for standardized image capture and integrated user‐friendly software pipelines are lacking.
Jeffrey L. Neyhart +8 more
wiley +1 more source
From Single-Ion to Integrated Multi-Ion Platforms: Wearable Sweat Sensors for Electrolyte Monitoring. [PDF]
Yang J +5 more
europepmc +1 more source
Abstract Multispectral three‐dimensional (3D) imaging offers substantial potential for plant phenotyping, yet manual segmentation of plant organs remains a bottleneck in breeding programs. We developed a color‐based filtering workflow for faba bean (Vicia faba L.) point clouds that optimizes lower and upper thresholds of spectral indices and broadband ...
Lennart Scheer +6 more
wiley +1 more source
Bi-Doped Pd Aerogels with Tensile-Strain-Induced Cascade Orbital Hybridization Boost H<sub>2</sub>O<sub>2</sub> Selective Activation for Efficient Pesticide Distinction. [PDF]
Li R +9 more
europepmc +1 more source
ABSTRACT Rationale Commercial grading of Baimudan white tea still relies largely on sensory evaluation and would benefit from a rapid, objective analytical approach. This study investigated whether PTR‐ToF‐MS volatile fingerprints combined with targeted non‐volatile metabolite measurements could support data‐driven grading of four official Baimudan ...
Dandan Zhang +2 more
wiley +1 more source

