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
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJFMR
Upcoming Conference(s) ↓
WSMCDD-2025
GSMCDD-2025
AIMAR-2025
ICICSF-2025
Conferences Published ↓
SVGASCA (2025)
ICCE (2025)
RBS:RH-COVID-19 (2023)
ICMRS'23
PIPRDA-2023
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 7 Issue 6
November-December 2025
Indexing Partners
Optimizing Irrigation in Sugarcane Farming: A Study of Farmer Practices and Challenges in Kolhapur Division
| Author(s) | Dr. Ashok Shrirang Lokhande |
|---|---|
| Country | India |
| Abstract | Efficient irrigation management is essential for sustainable sugarcane cultivation, yet farmers in the Kolhapur division face challenges such as water scarcity, infrastructure limitations, and a lack of precise irrigation knowledge. This study systematically analyzes prevalent irrigation practices, sources of irrigation guidance, decision-making factors, and challenges faced by farmers. The results indicate significant regional variations in irrigation frequency and adoption of advanced methods like drip irrigation, with Kolhapur showing the highest adoption. ANOVA analysis reveals that while irrigation frequency differs significantly among farmer groups, sources of irrigation guidance remain consistent. Key challenges include water unavailability, infrastructure constraints, and difficulties in implementing automation tools. To address these issues, this study proposes two future strategies: (1) an Expert Opinion-Based Database for Irrigation Management to document best practices and provide data-driven insights and (2) a Knowledge-Based Expert System for Sugarcane Irrigation Management, integrating predictive modeling and real-time recommendations. These interventions aim to enhance irrigation efficiency, optimize water use, and improve decision-making for sustainable sugarcane farming. |
| Keywords | Sugarcane irrigation, irrigation management, water resource challenges, expert system, decision support system, precision agriculture, sustainable farming, ANOVA analysis, irrigation efficiency. |
| Field | Sociology > Administration / Law / Management |
| Published In | Volume 7, Issue 6, November-December 2025 |
| Published On | 2025-11-03 |
| DOI | https://doi.org/10.36948/ijfmr.2025.v07i06.58242 |
| Short DOI | https://doi.org/g99p6t |
Share this

E-ISSN 2582-2160
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
Downloads
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.