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Showing 2451 to 2500 of 59105 works
Data Source Prioritization Flowchart for Process-based Plant Model Parametrization
Dynamic process-based plant models are computerized representations of plant growth, development, and productivity that use measurements of environmental and physiological process…
Integrating hyperspectral reflectance and wavelength analysis to estimate tree responses under abiotic and biotic stress
Forest ecosystems are the largest terrestrial carbon sink and monitoring them effectively, particularly in the context of global change, requires rapid and accurate determination …
Upscaling soil organic carbon measurements at the continental scale using multivariate clustering analysis and machine …
Estimates of soil organic carbon (SOC) stocks are essential for many environmental applications. However, significant inconsistencies exist in SOC stock estimates for the U.S. acr…
Global Precipitation Correction Across a Range of Climates Using CycleGAN
Accurate precipitation simulations for various climate scenarios are critical for understanding and predicting the impacts of climate change. This study employs a Cycle-generative…
Quantitative Analysis of Paleomagnetic Sampling Strategies
Sampling strategies used in paleomagnetic studies play a crucial role in dictating the accuracy of our estimates of properties of the ancient geomagnetic field. However, there has…
3D Root Structure Modeling and Analysis Using Close-Range Photo Scanning
This work presents a methodology for creating digital twins of root system architecture (RSA) that can be used for studying the phenotypic variation in RSA. Growing populations de…
DIY image analytics for UAS-based plant phenotyping
UAS-based image analytics has been deployed to expedite the plant phenotyping and replace laborious manual notetaking but is limited for global validation in all field conditions.…
Nondestructive high-throughput screening of wheat spike and grain
Given the changing environmental conditions, understanding internal mechanisms of crops and their interaction with the environment in abiotic stress conditions is very important. …
Purdue ABE’s New Plant Sensor Technologies for Improved Crop Phenotyping Quality
Plant phenotyping technologies have been developing rapidly over the last 2 decades. Plant sensors are becoming more accurate, faster, and easier to use. However, there are still …
Digital Twins Models for Crop Phenotyping, Management and Yield Forecasting
Phenotype characterization is an exciting new field that links agriculture and data science. Thanks to advances in remote sensing and artificial intelligence, we can now accuratel…
Canopy architectural and spectral phenotypes improve the prediction of radiation use efficiency in wheat canopies.
Feeding the world’s population of 9 billion by 2040 is one of the major challenges of the agriculture sector. Wheat ( Triticum aestivum L.) is the second most important staple cro…
Detecting Invasive Shrub Species by Utilizing High-Density Airborne LiDAR Data and Spectral Image
In the Chicago region, common buckthorn and bush honeysuckle stand out as dominant invasive species, accounting for over 40% of the regional forest coverage. Their proliferation…
Non-destructive seed phenotyping and time resolved germination testing using X-ray
Current phenotyping technologies, whether based on cameras, LIDAR or hyperspectral imaging, are capturing mainly 3D surfaces and are limited, to penetrate into growth media and in…
Phenomic Prediction Models in Maize Tar Spot Disease Detection
Tar spot disease in maize is the result of a fungal pathogen, Phyllachora maydis , and reduces yield up to 40 percent depending on severity of infection. Traditional disease monit…
Seasonal Changes in Poleward Atmospheric Heat Transport Under Increased CO2
Arctic warming under increased CO2 peaks in winter, but is influenced by summer forcing via seasonal ocean heat storage. Yet changes in atmospheric heat transport into the Arctic …
In-situ Optimized Substrate Witness Plates: Ground Truth for Key Processes on the Moon and Other Planets
Future exploration efforts of the Moon, Mars and other bodies are poised to focus heavily on persistent and sustainable survey and research efforts. This is especially true for th…
Potential Predictability of the Spring Bloom in the Southern Ocean Sea Ice Zone
Every austral spring when Antarctic sea ice melts, favorable growing conditions lead to an intense phytoplankton bloom, which supports much of the local marine ecosystem. Recent s…
Impact of Nanoplastic Contamination on Rhizosphere Microbiome and Plant Phenotype
Nanoplastic (NP) is an organic contaminant that is widespread in soil, water, and food. However, the effects of NP are not well understood, especially in the context of the rhizos…
Predicting physiological traits of rice from hyperspectral data under CO 2 and drought treatments
Using hyperspectral technology for high-throughput plant phenotyping is a potentially useful method in crop sciences. To examine its effectiveness, we collected leaf-level hypersp…
LiDAR Uncertainty Quantification for Topo-Bathymetric Earth Science using Generalized Polynomial Chaos Expansion
Though precise, most LiDARs are vulnerable to position and pointing errors as deviations from the expected principal axis lead to projection errors on target. While fidelity of lo…
A low-cost system to quantify root phenotypes resulting from root-root interactions
Root-root interactions significantly impact the formation of architectural root phenotypes, yet are poorly understood. Phenotype formation is impacted by sensing of soil resources…
Slab Ocean Component of the Exascale Earth System Model (E3SM): Development, Evaluation and Application to Understandin…
This work describes the implementation and evaluation of the Slab Ocean Model component of the Energy Exascale Earth System Model version 2 (E3SMv2-SOM), and its application to un…
Ice loss in the European Alps until 2050 using a fully assimilated, deep-learning-aided 3D ice-flow model
Modelling the short-term (<50 years) evolution of glaciers is difficult because of issues related to model initialisation and data assimilation. However, this timescale is critica…
Changes in United States summer temperatures revealed by explainable neural networks
To better understand the regional changes in summertime temperatures across the conterminous United States (CONUS), we adopt a recently developed machine learning framework that c…
Benford's law as mass movement detector in seismic signals
Seismic instruments placed outside of spatially extensive hazard zones can be used to rapidly sense a range of mass movements. However, it remains challenging to automatically det…
Late Middle Pleistocene Tectonic Inversion in the Mazarron Graben (Betic Cordillera, SE Iberia)
The Carrascoy and Palomares faults are two major active faults of the Eastern Betic Shear Zone (SE Iberia), both controlling conspicuous mountain fronts. However, the area in betw…
Leaf to grains: predicting multiple morpho-physiological leaf to grain yield traits in sorghum from leaf-level hyperspe…
Enhancing photosynthesis for increased sorghum grain yield has become a key focus in sorghum breeding efforts. Phenotyping, involving the measurement of various morpho-physiologic…
Synergizing Proximal Remote Sensing Modalities for Enhanced Prediction of Key Agronomic Crop Traits
Recent progress in proximal remote sensing has elevated both the spatial and temporal resolution of data acquisition, expanding the accessibility of these technologies for digital…
From Canopy to Kernel: A Multi-Sensor Approach to Wheat Drought Tolerance
Machine vision techniques like RGB imaging are valuable for measuring plant growth by tracking changes in size and shape over time. By using non-destructive, continuous monitoring…
Integrated Effects of Site Hydrology and Vegetation on Exchange Fluxes and Nutrient Cycling at a Coastal Terrestrial-Aq…
The complex interactions among soil, vegetation, and site hydrologic conditions driven by precipitation and tidal cycles control biogeochemical transformations and bi-directional …
Out of the lab and into the field: Applications of PlantCV for analyzing field-based images of aboveground and belowgro…
Advances in automated image analysis using open-source computer vision tools, such as PlantCV, have greatly increased the throughput of aboveground phenotyping in a variety of cro…
Remote sensing of maize development and yield response to environmental stress across planting dates in South Africa
Thermal remote sensing has been introduced as a robust technology for monitoring water status in plants, in a real-time and non-destructive approach, under a variety of environmen…
Smartphone-Based Tree Diameter Measurement Using Single Snapshot
This paper presents an inventive and precise methodology for measuring tree diameters at specific heights, leveraging iPhones equipped with light detection and ranging (LiDAR) and…
Modeling the Impact of Drought and Heat Stress on Maize Anthesis-Silking Interval
Understanding and enhancing plant resilience traits in maize is critical for ensuring consistent yields in the face of challenging conditions such as drought, disease, and insect …
Segmentation in Tree Diameter Measurement via 3D Methods
Tree trunk diameter measurement, particularly Diameter at Breast Height (DBH) is a critical task for foresters, indispensable for both the health assessment and market valuation o…
Quantifying the value of stakeholder elicited information in models of coupled human-water systems
Causal loop diagrams (CLDs) based on expert and/or stakeholder inputs inform the quantitative structure of socio-hydrological models (SHMs). However, a systematic exploration of t…
Sediment dynamics control transient fluvial incision - Comparison of sediment conservation schemes in models of bedrock…
In mountain rivers, sediment from landslides or debris flows can alluviate portions or even full reaches of bedrock channel beds, influencing bedrock river incision rates. Various…
Hamiltonian Monte Carlo for the Purpose of Induced Source Characterization: Application to an ML 3.4 Event in the Groni…
Hamiltonian Monte Carlo (HMC) is known to be highly efficient when sampling high-dimensional parameter spaces. This high efficiency can be attributed to Hamilton’s equations, whic…
Flexible foliar stoichiometry reduces the magnitude of the global land carbon sink
Increased plant growth under elevated CO2 slows the pace of climate warming and underlies projections of terrestrial carbon (C) and climate dynamics. However, this important ecosy…
Surface resistance controls differences in evapotranspiration between croplands and prairies in U.S. Corn Belt sites
Water returned to the atmosphere as evapotranspiration (ET) is approximately 1.6x greater than global river discharge and has wide-reaching impacts on groundwater and streamflow. …
Assessing the Effect of Essential Oil Nanoemulsions against Tomato Gray Mold using Multispectral Imaging
Gray mold, caused by the fungus Botrytis cinerea , is a major pre-and post-harvest disease that affects all aboveground parts of tomato and many other economically important crops…
pcvr: An R package and tutorials for guided statistical analysis of plant phenotyping data
PlantCV is a Python-based image analysis tool that lowers the barrier to entry for complex image analysis workflows in plant phenotyping. To provide support for subsequent analysi…
Identifying Genetic Markers Associated with Plant Resilience Phenotypes in Maize
Corn is a cornerstone of the global food supply, but its vulnerability to unpredictable weather patterns, exacerbated by climate change, poses significant challenges to its consis…
Aboveground Biomass Estimation of Northern Hardwood Forest Using UAS Lidar
Above-ground biomass (AGB) is one of the key features of understanding forests. Thanks to lidar’s ability to observe the structural characteristics of forests, much research has s…
Modeling the Simultaneous Dropout of Energetic Electrons and Protons by Magnetopause Shadowing
Magnetopause shadowing (MPS) effect could drive a concurrent dropout of radiation belt electrons and ring current protons. However, its relative role in the dropout of both plasma…
The Synergistic Effects of Glacier Degradation and Oasis Expansion Affect Future Water Security Risks in Southern Xinji…
Global warming has led to significant glacier retreat around the Tarim River Basin. This has resulted in a rise in water resources in southern Xinjiang. Meanwhile, the development…
Quantifying diapir ascent velocities in power-law viscous rock under far-field stress: Integrating analytical estimates…
Diapirism is crucial for heat and mass transfer in many geodynamic processes. Understanding diapir ascent velocity is vital for assessing its significance in various geodynamic se…
Environmental Philosophy: Rethinking Climate Change through the Jellyfish Metaphor
This treatise offers a philosophical odyssey into the exigency of conservation within the broader context of an increasingly interconnected world, beset by the perils of globaliza…
Single plant detection from field-based drone images using deep learning
Plant phenotyping using images from unoccupied aerial systems (UAS) is typically limited to trait acquisition at the plot level, generally accompanied by the manual delineation of…
Automated high throughput plant phenotyping to assess sunflower planting dates
South Africa is dependent on dryland farming, causing crops to be sown only once the rainy season begins. With climate change altering weather patterns, unpredictable rainy season…
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