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Amr Abd-Elrahman

Biographic Data

ID9967158
NAMEAmr Abd-Elrahman
GIVEN NAMESAmr
FAMILY NAMEAbd-Elrahman
SIGNATUREABD-ELRAHMAN A
AFFILIATIONSUniversity of Florida
ORCID0000-0002-6182-4017
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS7
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2021
H-INDEX1
  • Improving Strawberry Yield Prediction by Integrating Ground-Based Canopy Images in Modeling Approaches

    Open Access•Amr Abd-Elrahman, Feng Wu et al.•ARTICLE•ISPRS International Journal of…•2021

    Strawberries (Fragaria × ananassa Duch.) are highly perishable fruit. Timely prediction of yield is crucial for labor management and marketing decision-making. This study demonstrates the use of high-resolution ground-based imagery, in addition to previous yield and weather information, for yield prediction throughout the season at different intervals (3–4 days, 1 week, and 3 weeks pre-harvest). Flower and fruit counts, yield, and high-resolution…

  • Urbanization as a land use change driver of forest ecosystem services

    Open Access•Sonia Delphin, Francisco J Escobedo et al.•ARTICLE•Land Use Policy•2016•Cited by: 7•References: 42

  • Urbanization as a land use change driver of forest ecosystem services

    Open Access•Sonia Delphin, Francisco J Escobedo et al.•ARTICLE•Land Use Policy•2016•Cited by: 7•References: 42

  • Urbanization as a land use change driver of forest ecosystem services

    Open Access•Sonia Delphin, Francisco J Escobedo et al.•ARTICLE•Land Use Policy•2016•Cited by: 7•References: 42

  • Improving Strawberry Yield Prediction by Integrating Ground-Based Canopy Images in Modeling Approaches

    Open Access•Amr Abd-Elrahman, Feng Wu et al.•ARTICLE•ISPRS International Journal of…•2021

    Strawberries (Fragaria × ananassa Duch.) are highly perishable fruit. Timely prediction of yield is crucial for labor management and marketing decision-making. This study demonstrates the use of high-resolution ground-based imagery, in addition to previous yield and weather information, for yield prediction throughout the season at different intervals (3–4 days, 1 week, and 3 weeks pre-harvest). Flower and fruit counts, yield, and high-resolution…

Ecology (2 works) · Environmental Science (2 works) · Geography (2 works) · Agronomy (1 work) · Berry genetics and cultivation research (1 work) · Biology (1 work) · Canopy (1 work) · Computer Science (1 work) · Conservation, Biodiversity, and Resource Management (1 work) · Cultivar (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae