Software application in early blight detection in tomatoes using modified MobileNet architecture

Abstract This study presents an automated framework for early blight detection in tomato plants using a modified MobileNet architecture. Addressing the limitations of traditional labor-intensive methods, this study proposes a two-stage pipeline combining (1) transfer learning with depthwise separabl...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Justice Kwame Appati, Ziem Patrick Wellu, Daniel Kwame Amissah, Leonard Mensah Boante
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Nature Portfolio 2026-01-01
Sarja:	Scientific Reports
Aiheet:	MobileNet Custom_Feature_Extraction_Block Support vector machine Random forest Gradient boosting Classifier
Linkit:	https://doi.org/10.1038/s41598-025-24101-9
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