Analysing Indian farmers' information needs on edible oil crops using Kisan Call Center data


144 / 51

Authors

  • Samarth Godara ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India Author
  • Rounak Kumar ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India Author
  • GK Jha ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India Author
  • RS Bana ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India Author
  • RL Choudhary ICAR-Directorate of Rapeseed-Mustard Research, Bharatpur 321303, Rajasthan, India Author
  • Sudeep Marwaha ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India Author
  • Rajender Parsad ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India Author
  • Deepak Singh ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India Author
  • Raju Kumar ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India Author

https://doi.org/10.56093/job.v15i2.

Keywords:

AI-based big data analysis, edible oil crops, Kisan call center

Abstract

Due to the increasing complexity of agricultural challenges faced by Indian farmers, there is a critical need for data

driven insights to tailor extension services, enhance productivity, and ensure sustainable farming practices. In this 
scenario, understanding farmers' information demands can significantly improve support mechanisms and policy 
interventions. With this aim in focus, the present study leverages the Kisan Call Center (KCC) dataset to analyze the 
information demands of Indian farmers regarding three key edible oil crops: groundnut, mustard, and soybean. By 
examining the queries received from farmers, the research identifies signicant patterns and trends in agricultural 
challenges and practices across different states and over multiple years. The study categorises these queries into types 
such as agronomic practices, pest management, market information and more. Key findings reveal notable geographical 
variations in query volumes, underscoring the need for localized agricultural extension services. Based on these insights, 
the study proposes actionable policy recommendations to enhance plant protection services, improve weather 
forecasting and advisory services, promote advanced crop varieties, and disseminate market information more 
effectively. These recommendations aim to address the specific needs of farmers, thereby supporting informed decision
making, boosting productivity, and enhancing livelihoods. Future research is recommended to monitor the evolving 
information demands of farmers and to refine extension services accordingly.

Downloads

Download data is not yet available.

Downloads

Submitted

2024-09-18

Published

2026-04-09

Issue

Section

Articles

How to Cite

Analysing Indian farmers’ information needs on edible oil crops using Kisan Call Center data (Samarth Godara, Rounak Kumar, GK Jha, RS Bana, RL Choudhary, Sudeep Marwaha, Rajender Parsad, Deepak Singh, & Raju Kumar, Trans.). (2026). Journal of Oilseed Brassica, 15(2), 189-198. https://doi.org/10.56093/job.v15i2.