DOI: 10.7910/dvn/msej4d
title: Historical Indian Sugarcane Ecosystem Dataset (2010–2025)
title: Tri-State District-Complete Release, Version 2.6
title: District-Level Sugarcane Production and Policy Dataset for India (2010–2025)

description: &lt;p&gt;
This dataset provides a historically curated, evidence-first view of the Indian sugarcane ecosystem covering the period &lt;strong&gt;2010–2025&lt;/strong&gt;. It is structured to support agricultural policy analysis, credit risk research, ESG and MRV evaluation, traceability systems, and regulator-facing analytical dashboards.
&lt;/p&gt;

&lt;p&gt;
Version &lt;strong&gt;v2.6 (“Tri-State District-Complete Release”)&lt;/strong&gt; delivers district-level completeness for three major sugarcane-producing states in India:
&lt;/p&gt;

&lt;ul&gt;
 &lt;li&gt;&lt;strong&gt;Uttar Pradesh:&lt;/strong&gt; 2017–18 to 2024–25&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;Maharashtra:&lt;/strong&gt; 2018–19 to 2024–25&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;Karnataka:&lt;/strong&gt; 2018–19 to 2024–25&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;
All variables represent &lt;strong&gt;aggregated, non-personal indicators&lt;/strong&gt; derived from official and statutory sources, primarily the Directorate of Sugarcane Development (DAC&amp;FW), Government of India. These are supplemented by state statistical abstracts and officially reproduced district tables where available.
&lt;/p&gt;

&lt;p&gt;
The dataset follows a strict &lt;strong&gt;evidence-first ingestion protocol&lt;/strong&gt;:
&lt;/p&gt;

&lt;ul&gt;
 &lt;li&gt;No interpolation, backfilling, or retroactive normalization&lt;/li&gt;
 &lt;li&gt;Explicit separation of observed values versus model-derived estimates&lt;/li&gt;
 &lt;li&gt;Mandatory Data DNA fields for every record, including source name, source type, data collection method, confidence level, and last known publication year&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;
This dataset is intended for &lt;strong&gt;read-only historical analysis&lt;/strong&gt;. It is suitable for academic research, policy evaluation, ESG disclosures, and machine-learning pipelines that require traceable and regulator-defensible historical evidence.
&lt;/p&gt;

&lt;p&gt;
Version &lt;strong&gt;v2.6&lt;/strong&gt; is &lt;strong&gt;frozen and immutable&lt;/strong&gt;. Future releases will be issued additively as new versions without modifying this archival record.
&lt;/p&gt;
description: This dataset is released as a read-only, historical evidence artifact intended for academic research, policy analysis, ESG/MRV reporting, and reproducible machine-learning pipelines.

All records are derived from officially published, statutory, or institutionally recognized sources. No personal, household-level, or identifiable farmer data are included. Where district-level tables are available, district granularity is used; otherwise, state-level aggregates are retained without backfilled disaggregation.

Observed values and model-derived or estimated indicators are explicitly distinguished through mandatory Data DNA fields (data_source_name, data_source_type, data_collection_method, data_confidence_level, and last_known_publication_year). No interpolation, smoothing, or retroactive normalization has been applied.

This version (v2.6) is frozen and immutable. Future updates will be released as new versions with additive scope only and will not modify or overwrite this archival record.

Users are advised to cite the dataset using the provided DOI, indicate the version used, and review the Responsible Use and Limitations documentation prior to downstream analysis or policy interpretation.