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.

Bibliografiska uppgifter
Huvudupphovsmän:	Kobra, Khadija-Tul, Suham, Rahmatul Rashid, Fairooz, Maisha
Övriga upphovsmän:	Uddin, Jia
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2022
Ämnen:	Plant diseases VGG19 MobileNetV2 Inception-v3 Crop Cognitive learning theory (Deep learning) Plant diseases > Diagnosis
Länkar:	http://hdl.handle.net/10361/17334

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