IJCOPE Journal

UGC Logo DOI / ISO Logo

International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
Journal Information
ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 6

Published on: June 2026

AN AUTOMATED LABOUR MANAGEMENT SYSTEM FOR MODERN AGRICULTURE

Anagha babaso Ranjane

Prof.Aniket Udanshiv

dept. Masters of computer application
Bharat Ratna Indira Gandhi College of Engineering kegaon, Solapur, India

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

Agriculture remains one of the most labor-intensive sectors, where effective workforce management is crucial for improving productivity and ensuring timely completion of farming activities. Traditional methods of managing agricultural labor often involve manual record-keeping, inefficient communication, difficulties in labor allocation, and lack of transparency in wage calculations. To address these challenges, this paper presents an Automated Labour Management System for Modern Agriculture, a web-based platform designed to streamline labor management processes in agricultural operations. The proposed system enables farmers to register laborers, assign tasks based on skill requirements and availability, monitor work progress, maintain attendance records, and automate wage calculation and payment tracking. Additionally, the system provides real-time access to labor-related information, reducing administrative burden and improving decision-making. By integrating digital technologies into agricultural workforce management, the proposed solution enhances operational efficiency, minimizes resource wastage, and promotes transparency between farmers and laborers. The implementation of this system demonstrates its potential to support sustainable agricultural practices and contribute to the modernization of the agricultural sector through effective labor management.

Keywords— Agriculture, Labour Management System, Agricultural Workforce Automation, Farm Management, Attendance Monitoring, Wage Calculation, Task Allocation, Web-Based Application, Smart Farming, Digital Agriculture

How to Cite this Paper

Ranjane, A. B. (2026). An Automated Labour Management System for Modern Agriculture. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(6). https://doi.org/10.55041/ijcope.v2i6.182

Ranjane, Anagha. "An Automated Labour Management System for Modern Agriculture." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 6, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i6.182.

Ranjane, Anagha. "An Automated Labour Management System for Modern Agriculture." International Journal of Creative and Open Research in Engineering and Management 02, no. 6 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i6.182.

Search & Index

References


  1. Fountas, C. Carli, C. G. Sørensen, L. Tsiropoulos, B. Cavalaris, D. Vatsanidou, B. Liakos, M. Canavari, J. Wiebensohn, and B. Tisserye, "Farm Management Information Systems: Current Situation and Future Perspectives," Computers and Electronics in Agriculture, vol. 115, pp. 40–50, 2015.

  2. Tummers, A. Kassahun, and B. Tekinerdogan, "Obstacles and Features of Farm Management Information Systems: A Systematic Literature Review," Computers and Electronics in Agriculture, vol. 157, pp. 189–204, 2019.

  3. Ferrari, A. Cavallo, and E. Bollani, "Management Information Systems Adoption at the Farm Level: Evidence from the Literature," British Food Journal, vol. 123, no. 3, pp. 884–909, 2021.

  4. Bertoglio, A. Corbo, F. Renga, and M. Matteucci, "The Digital Agricultural Revolution: A Bibliometric Analysis Literature Review," IEEE Access, vol. 9, pp. 134762–134782, 2021.

  5. Qorri, A. Mujkic, and S. Kraslawski, "The Role of Human Resource Management in Agricultural Labor-Saving Technologies: An Integrative Review and Science Mapping," Agriculture, vol. 14, no. 2, pp. 1–22, 2024.

  6. Wolfert, L. Ge, C. Verdouw, and M.-J. Bogaardt, "Big Data in Smart Farming – A Review," Agricultural Systems, vol. 153, pp. 69–80, 2017..

  7. Kamilaris, A. Kartakoullis, and F. X. Prenafeta-Boldú, "A Review on the Practice of Big Data Analysis in Agriculture," Computers and Electronics in Agriculture, vol. 143, pp. 23–37, 2017. F. Provost and T. Fawcett, Data Science for Business: What You Need to Know About Data Mining and Data-Analytic Thinking. Sebastopol, CA, USA: O'Reilly Media, 2013.

  8. Ruiz-Garcia, L. Lunadei, P. Barreiro, and J. I. Robla, "A Review of Wireless Sensor Technologies and Applications in Agriculture and Food Industry: State of the Art and Current Trends," Sensors, vol. 9, no. 6, pp. 4728–4750, 2009.

  9. A. Eastwood, L. M. Klerkx, and R. Nettle, "Dynamics and Distribution of Public and Private Research and Extension Roles for Technological Innovation and Diffusion: Case Studies of the Implementation and Adaptation of Precision Farming Technologies," Journal of Rural Studies, vol. 49, pp. 1–12, 2017.

  10. O. Ranasinghe, M. M. S. M. Samarakoon, and H. D. M. Perera, "Development of a Web-Based Farm Management Information System for Efficient Agricultural Operations," in Proceedings of the International Conference on Information and Automation for Sustainability, pp. 1–6, 2020.

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: Jun 15 2026
CCBYNC

This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

View License
Scroll to Top