Plant disease diagnosis using deep transfer learning architectures- VGG19, MobileNetV2 and Inception-V3

Plant disease diagnosis using deep transfer learning architectures- VGG19, MobileNetV2 and Inception-V3

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Bibliographische Detailangaben
Hauptverfasser:	Kobra, Khadija-Tul, Suham, Rahmatul Rashid, Fairooz, Maisha
Weitere Verfasser:	Uddin, Jia
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2022
Schlagworte:	Plant diseases VGG19 MobileNetV2 Inception-v3 Crop Cognitive learning theory (Deep learning) Plant diseases > Diagnosis
Online Zugang:	http://hdl.handle.net/10361/17334

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