Development of an Artificial Intelligence-Based Mobile Application as a Virtual Assistant to Support Digital Transformation in the Agricultural Sector

DOI

10.2991/978-94-6239-805-4_26How to use a DOI?

Keywords

Agricultural Virtual Assistant; Artificial Intelligence; Large Language Model; Mobile Application; Rice Cultivation

Abstract

The digital transformation in the agricultural sector offers significant opportunities to improve access to agricultural information and support rice cultivation management. However, farmers still encounter challenges in obtaining information regarding agronomic techniques, pest and disease identification, fertilization, and crop problem mitigation. This study aims to develop an Artificial Intelligence (AI)-based mobile application as an interactive virtual assistant to provide digital agricultural information for lowland rice cultivation. The system development methodology employs the Waterfall model, comprising requirements analysis, system design, software implementation using the Flutter framework, Large Language Model (LLM) integration, and functional testing. The application integrates the Gemini Flash LLM and provides four core features: a Multimodal Chat Feature supporting text and image inputs, a Chat History Feature, a Bookmark Feature, and a Profile Feature. The output of this research is a mobile AI application prototype that enables users to interact with an LLM through text-based and image-assisted agricultural consultation. Functional testing using the black-box testing method shows that all tested application functions operate according to the predefined functional requirements. This study demonstrates the feasibility of implementing an LLM-based multimodal agricultural virtual assistant in a mobile application for lowland rice cultivation. Further evaluation is required to assess AI response accuracy, user acceptance, and effectiveness under real agricultural field conditions.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - I Nyoman Rai Widartha Kesuma
AU  - I Gusti Ngurah Bagus Caturbawa
AU  - I Made Ari Dwi Suta Atmaja
AU  - Agus Adi Putrawan
PY  - 2026
DA  - 2026/10/08
TI  - Development of an Artificial Intelligence-Based Mobile Application as a Virtual Assistant to Support Digital Transformation in the Agricultural Sector
BT  - Proceedings of the International Conference on Sustainable Green Tourism Applied Science - Engineering Applied Science 2026 (ICOSTAS-EAS 2026)
PB  - Atlantis Press
SP  - 241
EP  - 252
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-805-4_26
DO  - 10.2991/978-94-6239-805-4_26
ID  - Kesuma2026
ER  -