Analysing Indian farmers' information needs on edible oil crops using Kisan Call Center data
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Keywords:
AI-based big data analysis, edible oil crops, Kisan call centerAbstract
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 signicant 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.