Fungal infections in plants pose a significant threat to global agriculture, leading to substantial economic losses and food security concerns. Traditional methods for detecting and identifying fungal infections are often time-consuming, labor-intensive, and require expert knowledge. Recent advancements in deep learning (DL) offer promising solutions to these challenges by providing automated, accurate, and efficient identification systems using CNN and Mobile Net.
D.Gangadhar et al. (Wed,) studied this question.