AgroAId: A Mobile App System for Visual Classification of Plant Species and Diseases Using Deep Learning and TensorFlow Lite

AgroAId: A Mobile App System for Visual Classification of Plant Species and Diseases Using Deep Learning and TensorFlow Lite

This paper aims to assist novice gardeners in identifying plant diseases to circumvent misdiagnosing their plants and to increase general horticultural knowledge for better plant growth. In this paper, we develop a mobile plant care support system (“AgroAId”), which incorporates computer vision tech...

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Bibliographic Details
Main Author: Reda, Mariam (author)
Other Authors: Suwwan, Rawan (author), Alkafri, Seba (author), Rashed, Yara (author), Shanableh, Tamer (author)
Format: article
Published: 2022
Subjects:
Plant disease
Deep learning
Computer vision
Transfer learning
Artificial intelligence
Agriculture
Mobile app system
Convolutional neural networks
Classification
Plant care support
Online Access:http://hdl.handle.net/11073/24065
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Internet

http://hdl.handle.net/11073/24065

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