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Katie Britt

Biographic Data

ID9967160
NAMEKatie Britt
GIVEN NAMESKatie
FAMILY NAMEBritt
SIGNATUREBRITT K
AFFILIATIONSUniversity of Florida
ORCID0000-0001-9013-1722
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2021
H-INDEX0
  • 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…

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  • 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…

Agronomy (1 work) · Berry genetics and cultivation research (1 work) · Biology (1 work) · Canopy (1 work) · Cultivar (1 work) · Ecology (1 work) · Environmental Science (1 work) · Geography (1 work) · Greenhouse Technology and Climate Control (1 work) · Growing season (1 work)

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