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
et al.
Abstract: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 Convolutional Neural Networks (CNNs), which have shown promise in accurately identifying and classifying plant diseases from images. By analyzing studies published from 2019 to 2024, this work summarizes the common methodologies involving stages … Show more
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