Dr. Ace Pugh
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  • Publications
    • Quantifying Temporal Distortions of Artificial UAV Crop Canopy Temperature Measurements
    • High-throughput phenotyping of stay-green in a sorghum breeding program using unmanned aerial vehicles and machine learning
    • Yield prediction in a peanut breeding program using remote sensing data and machine learning algorithms
    • Evaluation of Diverse Sorghum for Leaf Dhurrin Content and Post-Anthesis (Stay-Green) Drought Tolerance
    • Registration of 252 sequenced sorghum mutants as a community reverse genetic resource
    • Sorghum genetic, genomic, and breeding resources
    • Comparison of image georeferencing strategies for agricultural applications of small unoccupied aircraft systems
    • Estimating the Severity of Sugarcane Aphids Infestation on Sorghum with Machine Vision
    • Transcriptomic and evolutionary analysis of the mechanisms by which P. argentatum, a rubber producing perennial, responds to drought
    • Heritability and quantitative trait loci of composition and structural characteristics in sorghum grain
    • A statistical evaluation of replicated block designs and spatial variability in sorghum performance trials
    • Automated detection and measurement of individual sorghum panicles using density-based clustering of terrestrial lidar data
    • Measurement and calibration of plant-height from fixed-wing UAV images
    • Estimation of plant health in a sorghum field infected with anthracnose using a fixed-wing unmanned aerial system
    • Multitemporal field-based plant height estimation using 3D point clouds generated from small unmanned aerial systems high-resolution imagery
    • Temporal Estimates of Crop Growth in Sorghum and Maize Breeding Enabled by Unmanned Aerial Systems
    • Identification of quantitative trait loci for popping traits and kernel characteristics in sorghum grain
    • Heritability of popping characteristics in sorghum grain
    • Unmanned Aerial Vehicles for High-Throughput Phenotyping and Agronomic Research
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    • Satellite Crop Yield and Health Estimation
    • Stay-green Prediction
    • Peanut Yield Prediction
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Satellite Crop Yield and Health Estimation

May 1, 2025 · 1 min read

Using satellite imagery and artificial intelligence to estimate crop health and yield at production field-scale.

Last updated on May 1, 2025
Satellite Machine Learning Crop Yield
N. Ace Pugh, Ph.D.
Authors
N. Ace Pugh, Ph.D.
Research Plant Scientist
Stay-green Prediction Sep 25, 2024 →

© 2025 Me. This work is licensed under CC BY NC ND 4.0

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