Dcnet: densenet-77-based cornernet model for the tomato plant leaf disease detection and classification

HIGHLIGHTS

SUMMARY

Dinh et_al, 2020). The conventional approaches always impose a trade-off among the classification performance and processing time (Bello-Cerezo et_al, 2019). At first, technology experts utilized the methods used in the field of molecular biology and immunology for locating the presence of tomato plant leaf diseases (Sankaran et_al, 2010; Frontiers in Plant Science frontiersin.org 10.3389/fpls.2022.957961 DL frameworks. The CornerNet framework shows robust performance in detecting and classifying several types of objects (Girshick, 2015; Raj et_al, 2015; Redmon et_al, 2016; Zhao et_al, 2016). The reason for selecting the CornerNet . . .

 



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