Predicting Biomass and Yield in a Tomato Phenotyping Experiment Using UAV Imagery and Random Forest

Overview of attention for article published in Frontiers in Artificial Intelligence, May 2020

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Integration of Unmanned Aerial Vehicle Spectral and Textural Features for Accurate Above-Ground Biomass Estimation in Cotton

Article in Agronomy (June 2024)

Predicting water status, growth and yield of tomato under different irrigation regimes using the RGB image indices and artificial neural network model

Preprint in Research Square (May 2024)

Drone‐based imaging sensors, techniques, and applications in plant phenotyping for crop breeding: A comprehensive review

Article in The Plant Phenome Journal (April 2024)

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