Adapting Soybean Production to Market Fluctuations

Abstract

Soybean farmers in Padwa village, Harda district (Madhya Pradesh) experience constant income uncertainty, even though the minimum support price (MSP) is rising (₹4,892 per quintal for 2024-25; Data.gov.in). A primary survey (n=20) shows that 90% sold their beans at an average mandi price of ₹4,102 per quintal, which is 16.1% lower than the MSP. This situation stems from distress sales (89% of sellers), reliance on traders (85%), inadequate scientific storage despite having basic facilities (85% basic storage, 20% WRS usage), and digital barriers even with 95% smartphone ownership.

Several structural issues have been identified: farmers depend on traders for information, they face storage problems that force them to sell immediately after harvest, and many have limited access to e-NAM or Agmarknet due to skill gaps. In fact, 86% of non-users mention they "don't know how" to use these platforms. These factors add to the soybean price volatility already noted in Madhya Pradesh (CDVI at 21.65%).

A mixed-methods approach combines surveys from Padwa with ten years of trends in MSP and mandi prices. This validates three interventions based on the primary findings:

1.            Warehouse receipt financing through WDRA, aimed at 80% of non-users, to eliminate distress losses of ₹39,816 per farmer.

2.            Digital literacy training to expand WhatsApp price groups, as 75% of users report getting better prices than traders.

3.            Farmer producer organization (FPO) aggregation models that utilize the experience of 20% of farmers who use WRS for collective bargaining.

These evidence-based strategies support the Digital Agriculture Mission and FPO 2.0, providing policymakers with practical ways to stabilize the income of over 300 medium and semi-medium soybean farmers in Harda district by up to 16% of revenue currently lost below MSP.