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Sensors (Basel, Switzerland)|May 14, 2025
Trinocular Vision-Driven Robotic Fertilization: Enhanced YOLOv8n for Precision Mulberry Growth SynchronizationMa Ming, Osama Elsherbiny, Jianmin GaoPlants (Basel, Switzerland)|January 11, 2024
Rapid Grapevine Health Diagnosis Based on Digital Imaging and Deep LearningOsama Elsherbiny, Ahmed Elaraby, Mohammad Alahmadi, et al.Scientific Reports|April 10, 2025
Incorporation of visible/near-infrared spectroscopy and machine learning models for indirect assessment of grape ripening indicatorsOsama Elsherbiny, Salah El-Hendawy, Salah Elsayed, et al.Scientific Reports|March 4, 2024
Design, construction and field testing of a manually feeding semiautomatic sugarcane dud chipperAbdallah Elshawadfy Elwakeel, Saher M A Mohamed, Abubakr Abdelwahab Tantawy, et al.Plos One|February 11, 2025
Hyperspectral technology and machine learning models to estimate the fruit quality parameters of mango and strawberry cropsSalah Elsayed, Hoda Gala, Mohamed S Abd El-Baki, et al.Plos One|August 26, 2024
Machine learning-driven assessment of biochemical qualities in tomato and mandarin using RGB and hyperspectral sensors as nondestructive technologiesAdel H Elmetwalli, Asaad Derbala, Ibtisam Mohammed Alsudays, et al.Plos One|March 12, 2026
Correction: Hyperspectral technology and machine learning models to estimate the fruit quality parameters of mango and strawberry cropsSalah Elsayed, Hoda Galal, Mohamed S Abd El-Baki, et al.Heliyon|September 12, 2024
Comprehensive evaluation and prediction of groundwater quality and risk indices using quantitative approaches, multivariate analysis, and machine learning models: An exploratory studyMohamed Gad, Aissam Gaagai, Asmaa A Agrama, et al.Pageof 1