Melba Crawford

Melba M. Crawford is the Associate Dean of Engineering for Research and a professor of agronomy, Civil Engineering, and Electrical & Computer Engineering at Purdue University. As the Nancy Uridil and Francis Bossu Professor in Civil Engineering, her specialty is Geomatics Engineering.

Crawford also serves as professor and chair of Excellence in Earth Observation. Provided by Wikipedia
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  1. 1
    Estimating Leaf Area Index in Row Crops Using Wheel-Based and Airborne Discrete Return Light Detection and Ranging Data

    Estimating Leaf Area Index in Row Crops Using Wheel-Based and Airborne Discrete Return Light Detection and Ranging Data by Behrokh Nazeri, Melba M. Crawford, Melba M. Crawford, Mitchell R. Tuinstra

    Published 2021-11-01
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  2. 2
    A novel transfer learning framework for sorghum biomass prediction using UAV-based remote sensing data and genetic markers

    A novel transfer learning framework for sorghum biomass prediction using UAV-based remote sensing data and genetic markers by Taojun Wang, Melba M. Crawford, Melba M. Crawford, Mitchell R. Tuinstra

    Published 2023-04-01
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  3. 3
    Integrating multi-modal remote sensing, deep learning, and attention mechanisms for yield prediction in plant breeding experiments

    Integrating multi-modal remote sensing, deep learning, and attention mechanisms for yield prediction in plant breeding experiments by Claudia Aviles Toledo, Melba M. Crawford, Melba M. Crawford, Mitchell R. Tuinstra

    Published 2024-07-01
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  4. 4
    Attention Guided Semisupervised Generative Transfer Learning for Hyperspectral Image Analysis

    Attention Guided Semisupervised Generative Transfer Learning for Hyperspectral Image Analysis by Anan Yaghmour, Saurabh Prasad, Melba M. Crawford

    Published 2024-01-01
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  5. 5
    YOLOv5-Tassel: Detecting Tassels in RGB UAV Imagery With Improved YOLOv5 Based on Transfer Learning

    YOLOv5-Tassel: Detecting Tassels in RGB UAV Imagery With Improved YOLOv5 Based on Transfer Learning by Wei Liu, Karoll Quijano, Melba M. Crawford

    Published 2022-01-01
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  6. 6
    Row selection in remote sensing from four-row plots of maize and sorghum based on repeatability and predictive modeling

    Row selection in remote sensing from four-row plots of maize and sorghum based on repeatability and predictive modeling by Seth A. Tolley, Neal Carpenter, Melba M. Crawford, Melba M. Crawford, Edward J. Delp, Ayman Habib, Mitchell R. Tuinstra

    Published 2023-06-01
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  7. 7
    Hyperspectral Indices for Predicting Nitrogen Use Efficiency in Maize Hybrids

    Hyperspectral Indices for Predicting Nitrogen Use Efficiency in Maize Hybrids by Monica B. Olson, Melba M. Crawford, Tony J. Vyn

    Published 2022-04-01
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  8. 8
    Predicting Nitrogen Efficiencies in Mature Maize with Parametric Models Employing In-Season Hyperspectral Imaging

    Predicting Nitrogen Efficiencies in Mature Maize with Parametric Models Employing In-Season Hyperspectral Imaging by Monica B. Olson, Melba M. Crawford, Tony J. Vyn

    Published 2022-11-01
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  9. 9
    Multi-Temporal Predictive Modelling of Sorghum Biomass Using UAV-Based Hyperspectral and LiDAR Data

    Multi-Temporal Predictive Modelling of Sorghum Biomass Using UAV-Based Hyperspectral and LiDAR Data by Ali Masjedi, Melba M. Crawford, Neal R. Carpenter, Mitchell R. Tuinstra

    Published 2020-11-01
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  10. 10
    High‐resolution hyperspectral imagery from pushbroom scanners on unmanned aerial systems

    High‐resolution hyperspectral imagery from pushbroom scanners on unmanned aerial systems by Jae‐In Kim, Junhwa Chi, Ali Masjedi, John Evan Flatt, Melba M. Crawford, Ayman F. Habib, Joohan Lee, Hyun‐Cheol Kim

    Published 2022-11-01
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