Search Results - "FLEISHER, David"

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  1. 1

    Random Forests for Global and Regional Crop Yield Predictions by Jeong, Jig Han, Resop, Jonathan P, Mueller, Nathaniel D, Fleisher, David H, Yun, Kyungdahm, Butler, Ethan E, Timlin, Dennis J, Shim, Kyo-Moon, Gerber, James S, Reddy, Vangimalla R, Kim, Soo-Hyung

    Published in PloS one (03-06-2016)
    “…Accurate predictions of crop yield are critical for developing effective agricultural and food policies at the regional and global scales. We evaluated a…”
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  2. 2

    GLUEOS: A high performance computing system based on the orchestration of containers for the GLUE parameter calibration of a crop growth model by Hyun, Shinwoo, Park, Jin Yu, Kim, Junhwan, Fleisher, David H., Kim, Kwang Soo

    Published in Computers and electronics in agriculture (01-06-2022)
    “…•GLUEOS was developed to perform parameter calibration for crop models in parallel.•Container based virtualization was adopted to calibrate parameters in…”
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  3. 3

    Carbon dioxide diffusion across stomata and mesophyll and photo-biochemical processes as affected by growth CO2 and phosphorus nutrition in cotton by Singh, Shardendu K., Badgujar, Girish, Reddy, Vangimalla R., Fleisher, David H., Bunce, James A.

    Published in Journal of plant physiology (15-06-2013)
    “…Nutrients such as phosphorus may exert a major control over plant response to rising atmospheric carbon dioxide concentration (CO2), which is projected to…”
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  4. 4
  5. 5

    Childhood Functional Gastrointestinal Disorders: Neonate/Toddler by Hyman, Paul E., Milla, Peter J., Benninga, Marc A., Davidson, Geoff P., Fleisher, David F., Taminiau, Jan

    Published in Gastroenterology (New York, N.Y. 1943) (01-04-2006)
    “…Recognizing the importance of childhood functional gastrointestinal disorders in understanding adult functional gastrointestinal disorders, and encouraging…”
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  6. 6

    Evaluation of Maximum Entropy (Maxent) Machine Learning Model to Assess Relationships between Climate and Corn Suitability by Fitzgibbon, Abigail, Pisut, Dan, Fleisher, David

    Published in Land (Basel) (01-09-2022)
    “…Given the impact that climate change is projected to have on agriculture, it is essential to understand the mechanisms and conditions that drive agricultural…”
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  7. 7

    Improving the cotton simulation model, GOSSYM, for soil, photosynthesis, and transpiration processes by Beegum, Sahila, Timlin, Dennis, Reddy, Kambham Raja, Reddy, Vangimalla, Sun, Wenguang, Wang, Zhuangji, Fleisher, David, Ray, Chittaranjan

    Published in Scientific reports (05-05-2023)
    “…GOSSYM, a mechanistic, process-level cotton crop simulation model, has a two-dimensional (2D) gridded soil model called Rhizos that simulates the below-ground…”
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  8. 8

    Development of an automated gridded crop growth simulation support system for distributed computing with virtual machines by Kim, Junhwan, Park, Jinew, Hyun, Shinwoo, Fleisher, David H., Kim, Kwang Soo

    Published in Computers and electronics in agriculture (01-02-2020)
    “…•A distributed computing system, GROWLERS, was developed for crop growth simulations.•GROWLERS requires minimum sets of user inputs and manual operations for…”
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  9. 9

    Development of an orchestration aid system for gridded crop growth simulations using Kubernetes by Kim, Junhwan, Park, Jin Yu, Hyun, Shinwoo, Yoo, Byoung Hyun, Fleisher, David H., Kim, Kwang Soo

    Published in Computers and electronics in agriculture (01-07-2021)
    “…•An orchestration aid system (OAS) was developed to support a gridded crop growth simulations.•The OAS requires minimum labor and expertise in management and…”
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  10. 10

    Phosphorus Nutrition Affects Temperature Response of Soybean Growth and Canopy Photosynthesis by Singh, Shardendu K, Reddy, Vangimalla R, Fleisher, David H, Timlin, Dennis J

    Published in Frontiers in plant science (06-08-2018)
    “…In nature, crops such as soybean are concurrently exposed to temperature (T) stress and phosphorus (P) deficiency. However, there is a lack of reports…”
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  11. 11

    Identification of a spatial distribution threshold for the development of a solar radiation model using deep neural networks by Kang, Dae Gyoon, Kim, Yean-Uk, Hyun, Shinwoo, Kim, Kwang Soo, Kim, Junhwan, Lee, Chung-Kuen, Maruyama, Atsushi, Beresford, Robert M, Fleisher, David H

    Published in Environmental research letters (01-10-2023)
    “…We propose an approach to develop a solar radiation model with spatial portability based on deep neural networks (DNNs). Weather station networks in South…”
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  12. 12

    Cyclic Vomiting Syndrome: What a Gastroenterologist Needs to Know by PAREEK, Namita, FLEISHER, David R, ABELL, Thomas

    Published in The American journal of gastroenterology (01-12-2007)
    “…CVS (cyclic vomiting syndrome) is a functional disorder that may occur in any age group of patients. In the past the disorder was considered to be fairly…”
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  13. 13

    Plant Density and Leaf Area Index Effects on the Distribution of Light Transmittance to the Soil Surface in Maize by Timlin, Dennis J., Fleisher, David H., Kemanian, Armen R., Reddy, Vangimalla R.

    Published in Agronomy journal (01-09-2014)
    “…The solar corridor concept examines approaches to better use light in row crops. To achieve this goal, an understanding of the diel patterns of light…”
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  14. 14

    Cyclic Vomiting Syndrome in 41 adults: the illness, the patients, and problems of management by Fleisher, David R, Gornowicz, Blake, Adams, Kathleen, Burch, Richard, Feldman, Edward J

    Published in BMC medicine (21-12-2005)
    “…Cyclic Vomiting Syndrome (CVS) is a disorder characterized by recurrent, stereotypic episodes of incapacitating nausea, vomiting and other symptoms, separated…”
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  15. 15

    Analogy-Based Crop Yield Forecasts Based on Temporal Similarity of Leaf Area Index by Liu, Yadong, Kim, Junhwan, Fleisher, David H., Kim, Kwang-Soo

    Published in Remote sensing (Basel, Switzerland) (01-08-2021)
    “…Seasonal forecasts of crop yield are important components for agricultural policy decisions and farmer planning. A wide range of input data are often needed to…”
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  16. 16

    Mapping sub-field maize yields in Nebraska, USA by combining remote sensing imagery, crop simulation models, and machine learning by Jeffries, Graham R., Griffin, Timothy S., Fleisher, David H., Naumova, Elena N., Koch, Magaly, Wardlow, Brian D.

    Published in Precision agriculture (01-06-2020)
    “…Crop yield maps are valuable for many applications in precision agriculture, but are often inaccessible to growers and researchers wishing to better understand…”
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  17. 17

    Varying Atmospheric CO2 Mediates the Cold-Induced CBF-Dependent Signaling Pathway and Freezing Tolerance in Arabidopsis by Barnaby, Jinyoung Y., Kim, Joonyup, Devi, Mura Jyostna, Fleisher, David H., Tucker, Mark L., Reddy, Vangimalla R., Sicher, Richard C.

    “…Changes in the stomatal aperture in response to CO2 levels allow plants to manage water usage, optimize CO2 uptake and adjust to environmental stimuli. The…”
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  18. 18

    Development of a mobile computing framework to aid decision-making on organic fertilizer management using a crop growth model by Hyun, Shinwoo, Yang, Seung Mo, Kim, Junhwan, Kim, Kwang Soo, Shin, Jae Hoon, Lee, Sang Min, Lee, Byun-Woo, Beresford, Robert M., Fleisher, David H.

    Published in Computers and electronics in agriculture (01-02-2021)
    “…•OASIS was developed to support organic fertilizer management for rice growers.•OASIS requires minimum sets of user inputs for crop growth simulation…”
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  19. 19

    Modeling Temperature Responses of Leaf Growth, Development, and Biomass in Maize with MAIZSIM by Kim, Soo‐Hyung, Yang, Yang, Timlin, Dennis J., Fleisher, David H., Dathe, Annette, Reddy, Vangimalla R., Staver, Kenneth

    Published in Agronomy journal (01-11-2012)
    “…Mechanistic crop models capable of representing realistic temperature responses of key physiological processes are necessary for enhancing our ability to…”
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  20. 20

    Regional food production and land redistribution as adaptation to climate change in the U.S. Northeast Seaboard by Mutiibwa, Denis, Fleisher, David H., Resop, Jonathan P., Timlin, Dennis, Reddy, V.R.

    Published in Computers and electronics in agriculture (01-11-2018)
    “…•Significant land in the United States is still suitable for expanding agriculture.•Crop models identified vulnerable areas to climate impacts in the U.S…”
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