EventsThe 5th International Electronic Conference on Applied Sciences
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Published
This submission belongs to the session S3. Computing and Artificial Intelligence of the event The 5th International Electronic Conference on Applied Sciences
Published date
03 Dec, 2024
Academic Editor
author-avatarEugenio Vocaturo
Citation
Bilkisu Larai Muhammad-Bello, Aisha Yakubu Madaki, Muhammad Bello Kusharki, AI-Driven Detection and Treatment of Tomato Plant Diseases Using Convolutional Neural Networks and OpenAI Language Models, in Proceedings of The 5th International Electronic Conference on Applied Sciences, 4 December–6 December 2024, MDPI: Basel, Switzerland
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AI-Driven Detection and Treatment of Tomato Plant Diseases Using Convolutional Neural Networks and OpenAI Language Models

Aisha Yakubu Madaki 1
Bilkisu Larai Muhammad-Bello 2
Muhammad Bello Kusharki 3
1. Computer Science Department, Nile University of Nigeria, Abuja, Nigeria
2. Software Engineering Department, Nile University of Nigeria, Abuja, Nigeria
3. ICT Department, National Defence College, Abuja, Nigeria
Abstract
Keywords
Plant diseases
Artificial Intelligence (AI)
InceptionV3 architecture
OpenAI's GPT-3.5 Turbo model
Streamlit interface
Sustainable Agriculture