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Julio-Alejandro Romero-González

2 papers indexed

crossrefAgriculture2024-11-30Cited by 26

Trends in Machine and Deep Learning Techniques for Plant Disease Identification: A Systematic Review

Diana-Carmen Rodríguez-Lira, Diana-Margarita Córdova-Esparza, José M. Álvarez-Alvarado, Juan Terven, Julio-Alejandro Romero-González, Juvenal Rodríguez-Reséndiz

This review explores the use of machine learning (ML) techniques for detecting pests and diseases in crops, which is a significant challenge in agriculture, leading to substantial yield losses worldwide. This study focuses on the integration of ML models, particularly Convolution…

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crossrefMachine Learning and Knowledge Extraction2023-11-20Cited by 2662

A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS

Juan Terven, Diana-Margarita Córdova-Esparza, Julio-Alejandro Romero-González

YOLO has become a central real-time object detection system for robotics, driverless cars, and video monitoring applications. We present a comprehensive analysis of YOLO’s evolution, examining the innovations and contributions in each iteration from the original YOLO up to YOLOv8…

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