International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 3 (May-June 2026) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 3
May-June 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

AI-DRIVEN PRECISION FARMING FOR CLIMATE -RESILIENT PADDY CULTIVATION: INSIGHT FROM COASTAL ODISHA.

Author(s) Mr. BIBHU PRASAD SAHOO, Dr. POTE SURAJ VISHWANATH
Country India
Abstract Paddy cultivation in coastal Odisha represents both a lifeline for rural communities and a sector increasingly vulnerable to climate change. Frequent cyclones, saline water intrusion, erratic monsoon patterns, and soil degradation have made traditional farming practices less reliable and sustainable. In this context, Artificial Intelligence (AI)-driven precision farming emerges as a transformative approach to enhance climate resilience, resource efficiency, and yield stability. This article examines the potential and practical applications of AI-enabled technologies in coastal paddy ecosystems, drawing insights from on-going practices, pilot projects, and farmer experiences in Odisha.
AI-powered tools such as satellite-based remote sensing drone imagery and Internet of Things (IoT) sensors enable real-time monitoring of soil moisture, nutrient levels, and crop health. Machine learning algorithms facilitate predictive analytics for weather forecasting, pest and disease outbreaks, and yield estimation, thus empowering farmers to make data-driven decisions. Automated irrigation systems and AI-based advisory platforms further optimize input usage, reducing water wastage and minimizing dependency on chemical fertilizers and pesticides. These interventions collectively strengthen the adaptive capacity of smallholder farmers, reduce crop losses, and ensure more sustainable production under climate uncertainties.
The article also highlights the socio-economic dimensions of AI adoption in precision farming. While technological innovations offer immense promise, challenges such as limited digital literacy, infrastructural gaps, high initial costs, and uneven access to technology remain significant barriers in coastal Odisha. Therefore, integrating AI-driven farming with community-based training, government support schemes, and localized research is essential for equitable and scalable adoption.
Keywords Artificial Intelligence, soil degradation, fertilizers and pesticides
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 4, July-August 2025
Published On 2025-08-31
DOI https://doi.org/10.36948/ijfmr.2025.v07i04.54910
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 8 Isu 2Cover Page Vol 8 Isu 1Cover Page Vol 7 Isu 6

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com
Powered by Sky Research Publication and Journals