Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)

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AI-Powered Mobile Applications for Smallholder Farmers: Transforming Agricultural Productivity, Market Integration, and Resource Optimization

Authors
Vivek Kumar Soni1, *, Roshan Verma1, Sakshi Verma1, Vasu Dewangan1
1Department of Computer Science and Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Raipur, 492015, Chhattisgarh, India
*Corresponding author. Email: vk.soni@ssipmt.com
Corresponding Author
Vivek Kumar Soni
Available Online 22 June 2025.
DOI
10.2991/978-94-6463-738-0_58How to use a DOI?
Keywords
Mobile applications; smallholder farmers; precision agriculture; market integration; financial technology
Abstract

This study explores the transformative role of mobile applications in empowering smallholder farmers by addressing key challenges such as restricted access to real-time agricultural information, inefficient market linkages, financial exclusion, and suboptimal resource utilization. The research highlights how mobile technology facilitates real-time updates on weather conditions, crop pricing, pest control strategies, and sustainable farming techniques while fostering direct market connections and financial empowerment. The proposed solution integrates multiple services, providing user-friendly, localized interfaces and multimedia-based agricultural extension services to enhance knowledge dissemination. The methodology includes a systematic review of existing mobile solutions, stakeholder interviews, and pilot testing within farming communities to evaluate usability and impact. Findings indicate significant improvements in farm productivity, profitability, and market participation. Future advancements in AI, IoT, and blockchain technology can further enhance precision agriculture, ensure transparent supply chains, and enable climate-resilient farming. By bridging critical gaps, this innovation promotes sustainable agricultural development and strengthens economic resilience for smallholder farmers.

Copyright
© 2025 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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Volume Title
Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
Series
Advances in Intelligent Systems Research
Publication Date
22 June 2025
ISBN
978-94-6463-738-0
ISSN
1951-6851
DOI
10.2991/978-94-6463-738-0_58How to use a DOI?
Copyright
© 2025 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.

Cite this article

risenwbib
TY  - CONF
AU  - Vivek Kumar Soni
AU  - Roshan Verma
AU  - Sakshi Verma
AU  - Vasu Dewangan
PY  - 2025
DA  - 2025/06/22
TI  - AI-Powered Mobile Applications for Smallholder Farmers: Transforming Agricultural Productivity, Market Integration, and Resource Optimization
BT  - Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
PB  - Atlantis Press
SP  - 731
EP  - 744
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-738-0_58
DO  - 10.2991/978-94-6463-738-0_58
ID  - Soni2025
ER  -