| Issue |
BIO Web Conf.
Volume 241, 2026
3rd International Conference on Recent Advances in Horticulture Research (ICRAHOR 2026)
|
|
|---|---|---|
| Article Number | 02003 | |
| Number of page(s) | 7 | |
| Section | Digital Horticulture and Smart Farming | |
| DOI | https://doi.org/10.1051/bioconf/202624102003 | |
| Published online | 26 June 2026 | |
An intelligent and farmer-centric approach to digital horticulture for smart and sustainable farming
1
SoA, Mohan Babu University, Tirupati, Andhra Pradesh., India
2
IIT Ashram, Vadodara, Gujarat, India
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
The progression of digital technologies is redesigning horticulture by allowing added proficient, accurate, and sustainable practices related to farming. This manuscript deals with a modern, usable approach to digital horticulture that merges AI, IoT sensors, as well as mobile-based decision support systems (DSS) to improve management of farms. By incorporating prognostic analytics, the move toward supports appropriate involvements in nutrient management, irrigation, in addition to control of pest, by this means improving production at the same time as dropping the wastage of resources. The acceptance of AI, remote sensing, IoT, and data analytics facilitates farmers to get better output, optimize resource utilization, in addition to making stronger ecological sustainability. Furthermore, the structure integrates climate-responsive approaches to progress flexibility aligned with ecological unevenness. This paper highlights how a reasonable incorporation of novelty along with usability can pick up the pace related to the implementation of digital horticulture as well as addition to sustainable agricultural improvement.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

