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

Internet

http://hdl.handle.net/10361/17334

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