An Android-based Image Processing Approach for Indoor Plant's Disease Detection

This project introduces a disease-free solution for people who love indoor plants. We created an Android app that uses fancy image processing to detect diseases in indoor plants early on. The app not only helps diagnose plant issues through pictures but also gives smart solutions to fix them. We aim to improve the health of indoor plants by combining technology and gardening, providing a user-friendly platform for plant lovers to take better care of their green friends. Our main focus is on developing a plant disease detection app using image classification. We use a friendly web tool to quickly and accurately create machine learning models. The app targets four common diseases in indoor plants. The process involves uploading various plant images, training the model, and then integrating it into Android Studio for easy use.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-11
DOI
https://doi.org/10.5281/zenodo.15750809
Primary Topic
Algebraic structures and combinatorial models
Type
article
Field-Weighted Citation Impact
0.00
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article

An Android-based Image Processing Approach for Indoor Plant's Disease Detection

Zenodo (CERN European Organization for Nuclear Research)
Algebraic structures and combinatorial models
article

An Android-based Image Processing Approach for Indoor Plant's Disease Detection

article en

Abstract

This project introduces a disease-free solution for people who love indoor plants. We created an Android app that uses fancy image processing to detect diseases in indoor plants early on. The app not only helps diagnose plant issues through pictures but also gives smart solutions to fix them. We aim to improve the health of indoor plants by combining technology and gardening, providing a user-friendly platform for plant lovers to take better care of their green friends. Our main focus is on developing a plant disease detection app using image classification. We use a friendly web tool to quickly and accurately create machine learning models. The app targets four common diseases in indoor plants. The process involves uploading various plant images, training the model, and then integrating it into Android Studio for easy use.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 48%
Algebraic structures and combinatorial models
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An Android-based Image Processing Approach for Indoor Plant's Disease Detection · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS