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Showing 1851 to 1900 of 59105 works
The shape and volume of air, kernels, and cracks, in a nutshell
Walnuts are the second most produced and consumed tree nut, with over 2.6 million metric tons produced in the 2022-23 harvest cycle alone. The United States is the second largest …
Field-based high throughput phenotyping of Fusarium head blight in wheat using an RGB based deep neural network approach
Fusarium head blight (FHB) is an economically important disease in wheat which can cause yield losses >50%. Breeding for host resistance is the most effective control method, howe…
Addressing lighting and bounding box accuracy for the Embedded Automated Generator of Labeled Images (EAGL-I) system
The Embedded Automated Generator of Labeled Images (EAGL-I) system is a tool for generating labeled images, particularly for data-driven methods, such as deep learning models. The…
Coupled hydrodynamic and habitat suitability models jointly reveal suitable area for stock enhancement and release of m…
Stock enhancement can effectively increase population sustainablility and improve fishery resources, making it crucial to discern the suitable habitats for stock enhancement based…
Simulation and Optimization of Maize Phyllotaxy and Planting Pattern to Intercept More Radiation
Maximizing crop yield while conserving resources is a pressing challenge in modern agriculture. Maize ( Zea mays L. ), a staple crop worldwide, relies heavily on photosynthesis, m…
Unlocking the Potential of High-Resolution Satellite Imagery for Soybean Phenotyping and Maturity Estimation in Plant B…
Plant breeding programs demand efficient and accurate methods for crop phenotyping, especially for economically important crops like soybeans. Traditional manual assessment method…
Germination of Camelina sativa producing modified fatty acids under low temperature conditions
Plants store carbon as oil in their seeds, which is a resource that needs to be mobilized in order to germinate. Camelina sativa is a prospective biofuel crop which has the potent…
Low-Cost Photogrammetry Rig for 3D Crop Modelling and Plant Phenomics
Photogrammetry is the science of obtaining a 3D scan of an object. Through this process, reliable information about the physical object’s complex structure can be obtained, studie…
An integrated framework for exploring critical zone architecture and evolution
Two major barriers hinder the formulation of a holistic understanding of critical zone (CZ) architecture and its evolution: (1) an inability to measure, define, and share informat…
Production of biogas using waste products (Water Hyacinth and Cow Dung)
This research was carried out to make use of water hyacinth to produce biogas which may solve the problem of water hyacinth management as well as provide a solution to energy and …
Winter Euro-Atlantic blocking activity less sensitive to climate change than previously evaluated
Winter Euro-Atlantic atmospheric blocking events have significant socioeconomical impacts as they cause various types of weather extremes in a range of regions. According to curre…
Multi-elemental Statistical Features of Early Paleogene Sediments from the Mid-latitude Eastern Indian Ocean
The early Paleogene is characterized by a “hothouse” environment with repetitive transient warming events known as “hyperthermals.” While these paleoenvironmental changes are well…
A new mechanism for mineralizing systems based on cnoidal wave instabilities
The formation of mineral deposits in mesothermal quartz veins is a complex process that has been the subject of much research. The classical fault-valve hypothesis suggests that m…
Exploring Maize Stress Response Phenotypes via High-Throughput Imaging
This study aimed to investigate the physiological and morphological responses of maize seedlings to environmental stressors. High-throughput imaging analysis was used to character…
Salt stress using Chenopodium quinoa as a model plant
Chenopodium quinoa is an important crop known for its salt tolerance. Salinity is an osmotic stress and ions accumulation in the root zone causes a reduction in soil water availab…
Automated parameterization of stomatal conductance models from thermal imagery by leveraging synthetic images generated…
Stomatal conductance ( g ) is a critical plant biophysical variable that reflects plant regulation of CO uptake and associated water loss, yet its direct measurement is often proh…
Discriminating lithospheric and asthenospheric anisotropy beneath Northern Oman: sharp contrast observed at the Semail …
To gain a deeper understanding of the extensive and varied lithospheric deformations beneath northern Oman, we examine seismic anisotropy in this region using splitting analysis o…
Predicting alpha amylase content and starch breakdown in pregerminated barley seeds using hyperspectral imaging
Malting is the process of controlled germination of cereal grain that is steeped, germinated, and dry kilned to develop flavor compounds, fermentable sugars, the hydrolytic enzyme…
Utilizing a 3D Global P-Wave Tomography Model to Improve Backprojection Imaging: A Case Study of the 2015 Nepal Earthqu…
We carry out a backprojection analysis of high-frequency P-wave signals to image the rupture process of the 8 September 2017 Mw 8.2 Chiapas earthquake based on the 3D velocity mod…
Changes to Peroxyacyl Nitrates (PANs) over Megacities in Response to COVID-19 Tropospheric NO2 Reductions Observed by t…
The COVID-19 pandemic perturbed air pollutant emissions as cities shutdown worldwide. Peroxyacyl nitrates (PANs) are important tracers of photochemistry that are formed through th…
Forecasting West Nile Virus Infections A Machine Learning Approach to Epidemiological Monitoring
Mosquitoes are vectors for a number of serious illnesses, such as Dengue, Zika, Malaria, and West Nile Virus. In the United States, West Nile Virus (WNV) is the leading mosquito-b…
AICropCAM -- An Edge Imaging Platform with a Stack of Deep Learning Models for Plant Phenotyping
We propose a solution with edge image processing and long-range connectivity named AICropCAM that can be used in drones, ground platforms, or as distributed sensor networks for pl…
Controls on Bending-Related Faulting Offshore of the Alaska Peninsula
Oceanic plates experience extensive normal faulting as they bend and subduct, enabling fracturing of the crust and upper mantle. Debate remains about the relative importance of pr…
Anthropogenically forced shift in ENSO mean state after 1970 CE
Understanding how El Niño-Southern Oscillation (ENSO) responds to natural variability is of key importance for future climate projections under a warming climate. However, there i…
Diurnal Variation of Canopy NDVI in Maize and Soybean
As the world’s population grows and the demand for food rises, more attention has been paid to increase crop yields and enhance global food security. Modern remote sensing technol…
Wavelet Analysis of Differential TEC Measurements Obtained Using LOFAR
Radio interferometers used to make astronomical observations, such as the LOw Frequency ARray (LOFAR), experience distortions imposed upon the received signal due to the ionospher…
Phenotypic Responses of Diverse Maize Inbred Lines In Multiple Abiotic Stress Conditions
Global warming poses a substantial threat to food security, necessitating the development of crops resilient to the adverse effects of stress including, drought, heat, and their c…
Physiological and Digital Phenotyping of Drought Tolerance in Brassica Crops
Climate change poses a significant threat to agricultural systems, with drought becoming increasingly prevalent in the Canadian prairies. This study addresses the urgent need to e…
Winter Dormancy and Spring Growth in Winter Wheat
Cold tolerance is of paramount importance for the survival of winter wheat, as failure to withstand low winter temperatures necessitates costly replanting during the spring season…
Eye in the Sky: Hyperspectral Imaging for Sustainable Nitrogen Management in Vegetables
Snap beans and kidney beans are poor nitrogen fixers and need nitrogen (N) fertilizer. However, excessive application of N leads to groundwater contamination. The traditional way …
Synthesizing Forestry Images Conditioned on Plant Phenotype Using a Generative Adversarial Network
Plant phenology and phenotype prediction using remote sensing data is increasingly gaining attention in order to enhance agricultural productivity. This work aims to generate synt…
Utilizing Neural Radiance Fields (NeRFs) Understand Nutrient Stress Phenotypes in 3D
In precision agriculture and plant biology, monitoring nutrient stress in crops is of paramount importance for ensuring optimal yield and resource utilization. However, nutrient s…
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