India's agricultural markets or mandis are essential for rural livelihoods but remain fragmented, opaque, and dominated by intermediaries.
Open government datasets like AgMarknet and e-NAM offer daily mandi-level price and arrival data.
Despite being open, these datasets are underutilized due to messy formats, data gaps, and lack of tooling.
This talk presents a case study from Uttarakhand, using open data to evaluate how well hill and plain mandis are integrated via price comparisons.
The goal is to inspire the FOSS community to contribute tooling, visualizations, and open workflows that make agricultural data more usable and impactful.
Overview of agricultural markets in India and why transparency matters
Introduction to Agmarknet and e-NAM datasets
Methodology to assess price integration using open mandi data
Challenges in using public datasets such as missing values, inconsistencies, formats, quality recording.
A live use case from Uttarakhand's mandis for apples and paddy, which are perishable and non-perishable respectively.
Initiate open collaborations at the intersection of data, agriculture, and equity
+1. Fits the track and the audience.
Great proposal, aligns quite well with the Open Data devroom