Results 131 to 140 of about 5,511,548 (230)
Prolonged in vitro micropropagation reshaped the strawberry endomicrobiome, reducing bacterial diversity and community complexity. Biotization with selected plant growth‐promoting bacteria partially compensated for these changes by improving plant performance and acclimatization, supporting microbiome‐assisted approaches for tissue culture systems ...
A. M. G. Sepúlveda +6 more
wiley +1 more source
Computational model of haemodynamics during atrial fibrillation
Abstract figure legend We developed a simplified computational model that replicates patient‐specific haemodynamics during both normal sinus rhythm and atrial fibrillation (AF). Our computational model comprises: (1) an electrical subsystem that generates unco‐ordinated atrial and irregular ventricular activation times characteristic of AF and (2) a ...
Felix Plappert +7 more
wiley +1 more source
Enhancing spray coverage in peanut canopies using prohexadione calcium
Abstract Excessive vine growth in peanut (Arachis hypogaea L.) can limit fungicide spray penetration, reducing protection against foliar diseases. Prohexadione calcium suppresses vine growth and may improve spray distribution, but its effects on fungicide coverage in peanut remain unclear.
Satinderpal Singh +6 more
wiley +1 more source
Abstract The two‐spotted spider mite (TSSM; Tetranychus urticae Koch) is a major pest of tomato (Solanum lycopersicum L.), causing substantial yield and quality losses in Ethiopia and worldwide. The present study evaluated the impact of tomato branch pruning and trellising on TSSM populations and yield in the Central Rift Valley tomato production area ...
Amhaeyesus Belete +2 more
wiley +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
Apple Leaf Disease Detection Based on Improved YOLOv11 with DSSA Mechanism. [PDF]
Zhang Y, Tian J, Zhang D.
europepmc +1 more source
Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review
Abstract Water stress is a major limiting factor for crop productivity worldwide, and its impacts are intensifying due to climate variability and increasing water scarcity. This review focuses on the spatial and temporal scales in plant phenotyping as a critical approach to improving crop water‐stress assessment and supporting precision water ...
Daniel Kingsley Cudjoe +3 more
wiley +1 more source
Deep learning based apple leaf disease detection using spatially modulated continuouslayer. [PDF]
Shahade AK, Deshmukh PV.
europepmc +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
Deep learning for apple leaf disease diagnosis: a comparative study with convolutional neural networks and transformers. [PDF]
Toutounchian S +4 more
europepmc +1 more source

