Results 101 to 110 of about 11,080 (261)
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
SWIR gainassb/gasb photodetector technology development.
SWIR GaInAsSb/GaSb Photodetector Technology ...
Andrulis, Valentinas,
core
PlantCV v4: Image analysis software for high‐throughput plant phenotyping
Abstract PlantCV is an open‐source Python project aimed at developing tools to address a range of image‐based, plant phenotyping questions. PlantCV has been used for more than 10 years to automate trait collection from image data, and the newest release, PlantCV version 4, continues to lower the barrier to entry for users without substantial coding ...
Haley Schuhl +61 more
wiley +1 more source
Crop residues serve many important functions in agricultural conservation including preserving soil moisture, building soil organic carbon, and preventing erosion.
W. Dean Hively +5 more
doaj +1 more source
Visualization of Pulpal Structures by SWIR in Endodontic Access Preparation [PDF]
Endodontic access preparation is one of the initial steps in root canal treatments and can be hindered by the obliteration of pulp canals and formation of tertiary dentin.
Benz, Leander +12 more
core +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
La dificultad en la identificación y cuantificación de minerales mediante técnicas remotas constituye un problemaclave a la hora de caracterizar adecuadamente materiales naturales a distinta escala, desde el estudio de superficies de afloramientos ...
Santamaría López, Ángel +2 more
core
Drivers of 2023–2024 Atmospheric CO2 Growth: Role of Northern Mid‐to‐High Latitude Land Carbon Cycle
Abstract The global atmospheric CO2 growth rate in 2023–2024 reached an unprecedented level, exceeding all records since modern monitoring began. Using a CO2 flux inversion, constrained by column‐averaged CO2 observations from Greenhouse gases Observing SATellite (GOSAT), we investigated spatio‐temporal drivers of this anomaly.
Suman Maity +4 more
wiley +1 more source
This work presents AQM‐HLS, a harmonized burned‐area dataset for the Pantanal covering 2014–2024. Landsat‐8/9 and Sentinel‐2 imagery were integrated into multitemporal NBR composites and classified using Random Forest. The dataset captures fire‐scar dynamics, delivering accurate 30‐m burned‐area maps suitable for long‐term monitoring and environmental ...
Liz B. C. Belém +3 more
wiley +1 more source
Multispectral Short Wave Infrared Plenoptic Imaging System Free of Fixed Pattern Noise
We propose a single-camera multispectral Short Wave Infrared (SWIR) plenoptic imaging system free of fixed pattern noise (FPN). The developed system can form, for each scene’s object of interest, an in-focus noiseless 24 channels SWIR ...
Joaquin Lermanda-Sandoval +4 more
doaj +1 more source

