Plantonome: A Cross-Platform Application for Precision Agriculture
In recent years, there has been growing interest in leveraging the Internet of Things (IoT) and Artificial Intelligence (AI) technologies for agriculture. A significant challenge for developers in this field is creating applications that provide precise data about plants, facilitating the smart auto...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
|
| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00022.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832098576429219840 |
|---|---|
| author | Deroussi Anass Ait Madi Abdessalam Alihamidi Imam Chabou Zakaria Addaim Adnane |
| author_facet | Deroussi Anass Ait Madi Abdessalam Alihamidi Imam Chabou Zakaria Addaim Adnane |
| author_sort | Deroussi Anass |
| collection | DOAJ |
| description | In recent years, there has been growing interest in leveraging the Internet of Things (IoT) and Artificial Intelligence (AI) technologies for agriculture. A significant challenge for developers in this field is creating applications that provide precise data about plants, facilitating the smart automation of plant management.
This paper presents Plantonome, an open-source application developed using the Flutter software development kit (SDK) and the Dart programming language. Designed to integrate with IoT devices, Plantonome quickly and accurately identifies ornamental plant genera or species using the Plant.id API for plant image analysis. The application also utilizes a NoSQL database for storing user data and plant preferences, and it includes a dataset of ornamental plants with details such as name, brightness, temperature, and humidity requirements. The development approach outlined in this paper accelerates the creation process and results in a high-performing application with a flexible user interface and smooth user experience. The application, tested on Android 5.0 (API level 21) or higher, achieved an accuracy of 94.64% for plant identification and received highly positive feedback regarding its functionality, usability, and efficiency. This work offers significant benefits to researchers and startups aiming to develop cross-platform applications that can automate various agricultural tasks, contributing to advancements in smart agriculture. |
| format | Article |
| id | doaj-art-0b5fd56a35f24a72a133ea454c5d6f89 |
| institution | Kabale University |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-0b5fd56a35f24a72a133ea454c5d6f892025-02-05T10:46:25ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016010002210.1051/e3sconf/202560100022e3sconf_icegc2024_00022Plantonome: A Cross-Platform Application for Precision AgricultureDeroussi Anass0Ait Madi Abdessalam1Alihamidi Imam2Chabou Zakaria3Addaim Adnane4Laboratory of Advanced Systems Engineering, National School of Applied Sciences, Ibn Tofail UniversityLaboratory of Advanced Systems Engineering, National School of Applied Sciences, Ibn Tofail UniversityLaboratory of Advanced Systems Engineering, National School of Applied Sciences, Ibn Tofail UniversityLaboratory of Advanced Systems Engineering, National School of Applied Sciences, Ibn Tofail UniversityLaboratory of Advanced Systems Engineering, National School of Applied Sciences, Ibn Tofail UniversityIn recent years, there has been growing interest in leveraging the Internet of Things (IoT) and Artificial Intelligence (AI) technologies for agriculture. A significant challenge for developers in this field is creating applications that provide precise data about plants, facilitating the smart automation of plant management. This paper presents Plantonome, an open-source application developed using the Flutter software development kit (SDK) and the Dart programming language. Designed to integrate with IoT devices, Plantonome quickly and accurately identifies ornamental plant genera or species using the Plant.id API for plant image analysis. The application also utilizes a NoSQL database for storing user data and plant preferences, and it includes a dataset of ornamental plants with details such as name, brightness, temperature, and humidity requirements. The development approach outlined in this paper accelerates the creation process and results in a high-performing application with a flexible user interface and smooth user experience. The application, tested on Android 5.0 (API level 21) or higher, achieved an accuracy of 94.64% for plant identification and received highly positive feedback regarding its functionality, usability, and efficiency. This work offers significant benefits to researchers and startups aiming to develop cross-platform applications that can automate various agricultural tasks, contributing to advancements in smart agriculture.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00022.pdf |
| spellingShingle | Deroussi Anass Ait Madi Abdessalam Alihamidi Imam Chabou Zakaria Addaim Adnane Plantonome: A Cross-Platform Application for Precision Agriculture E3S Web of Conferences |
| title | Plantonome: A Cross-Platform Application for Precision Agriculture |
| title_full | Plantonome: A Cross-Platform Application for Precision Agriculture |
| title_fullStr | Plantonome: A Cross-Platform Application for Precision Agriculture |
| title_full_unstemmed | Plantonome: A Cross-Platform Application for Precision Agriculture |
| title_short | Plantonome: A Cross-Platform Application for Precision Agriculture |
| title_sort | plantonome a cross platform application for precision agriculture |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00022.pdf |
| work_keys_str_mv | AT deroussianass plantonomeacrossplatformapplicationforprecisionagriculture AT aitmadiabdessalam plantonomeacrossplatformapplicationforprecisionagriculture AT alihamidiimam plantonomeacrossplatformapplicationforprecisionagriculture AT chabouzakaria plantonomeacrossplatformapplicationforprecisionagriculture AT addaimadnane plantonomeacrossplatformapplicationforprecisionagriculture |