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Frontiers in Plant Science|July 12, 2021
Intelligent Fruit Yield Estimation for Orchards Using Deep Learning Based Semantic Segmentation Techniques-A ReviewPrabhakar Maheswari, Purushothaman Raja, Orly Enrique Apolo-Apolo, et al.Frontiers in Plant Science|August 9, 2020
A Cloud-Based Environment for Generating Yield Estimation Maps From Apple Orchards Using UAV Imagery and a Deep Learning TechniqueOrly Enrique Apolo-Apolo, Manuel Pérez-Ruiz, Jorge Martínez-Guanter, et al.Frontiers in Plant Science|May 29, 2024
Tackling unbalanced datasets for yellow and brown rust detection in wheatCarmen Cuenca-Romero, Orly Enrique Apolo-Apolo, Jaime Nolasco Rodríguez Vázquez, et al.Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy|January 13, 2025
Prediction of Deoxynivalenol contamination in wheat kernels and flour based on visible near-infrared spectroscopy, feature selection and machine learning modellingMuhammad Baraa Almoujahed, Orly Enrique Apolo-Apolo, Mohammad Alhussein, et al.Pageof 1