Mission 4 of 7

Agriculture & Food Systems

Raise sustainable farmer income through productivity, risk management, water efficiency, markets, technology and logistics — not subsidies alone.

Owner: Mission Lead — Agriculture & Food SystemsStateUnionLocal

Outcome hierarchy

10-year outcome → 3-year missions → annual OKRs

10-year outcome (Year 10 — beyond a single term; depends on renewed mandates)

By Year 10: average agricultural household income is at least 60% higher in real (inflation-adjusted) terms than in 2018-19, with lower water use per unit of output and post-harvest loss cut sharply.

By end of Year 3

By end of Year 3: Cold-chain and storage pilots with measured loss reduction in 15 districts.
By end of Year 3: Insurance payout time cut to under 30 days in pilot states.
By end of Year 3: Micro-irrigation with metered water accounting in 10 water-stressed districts.

Year 1 goals

Turn farmer economics into measured data

KR · Independent farm-income panel survey established; real-income series published with a stated deflatormetric
KR · Post-harvest loss measurement protocol published and applied in 5 crops

Measurement

Outcome metrics

Sourced observations are published statistics, reproduced as stated. Targets are Pragati Shakti proposals. Where no national measurement exists we say so instead of inventing one.

Average monthly income per agricultural household, in 2018-19 prices (real)

Unit: ₹ · higher is better

Baseline: ₹10,218 (Agri. year 2018-19, at 2018-19 prices) Primary government data · MoSPI / NSO (via PIB)
Proposed target: ₹16,350 by Year 10 of the programme

Observation log (1) · last checked 18 Sep 2026

Date	Value	Class	Geography	Period	Published	Confidence	Source / note
30 Jun 2019	10218	Primary government data	India (rural agri. households)	Jul 2018–Jun 2019	Feb 2023 (PIB summary of 2021 release)	HIGH	Situation Assessment Survey of Agricultural Households, NSS 77th round (2018-19) — The 2012-13 figure (₹6,426, NSS 70th round) is nominal and not shown on the real series until deflated with a published CPI-AL/RL deflator. No later SAS round published as of Sep 2026.

Post-harvest loss, fruits (upper bound of NABCONS range)

Unit: % · lower is better

Baseline: 15.05% (Ref. year 2020-22) Primary government data · NABCONS for Ministry of Food Processing Industries (via PIB)
Proposed target: 6% by Year 10 of the programme

Observation log (1) · last checked 18 Sep 2026

Date	Value	Class	Geography	Period	Published	Confidence	Source / note
31 Mar 2022	15.05	Primary government data	India	Ref. years 2020–22	Dec 2022	MEDIUM	Study to determine post-harvest losses of agri produce in India (ref. year 2020-22) — Range upper bound shown; crop-specific tracking to follow PS-012 protocol

We measure

Real net farm household income
Yield per hectare by crop and agro-climatic zone
Water productivity (₹ per cubic metre)
Post-harvest loss share
Days from claim to insurance payout
Price realisation vs. reference market

We do not define success by

Subsidy disbursed
Procurement volume alone

Scope

Focus areas and who can act

Farmer incomeAgricultural productivityIrrigation efficiencyWater useAgricultural researchAgricultural technologyCrop diversificationLogisticsStorageCold chainsFood processingExportsInsuranceMarket accessRisk managementSoil health

Who can act?

StateAgriculture is a State subject (List II, Entry 14).
UnionTrade, price support, research (ICAR), insurance schemes and inter-state markets.
LocalPanchayats manage minor irrigation and local storage in many states.

Federalism explained →

Sample implementation schedule · simulated

How the work board for this mission would look (3 sample cards)

These cards demonstrate the record-keeping. None of these initiatives has started; dates are relative to taking office (Y1 Q1 = first quarter).

PS-005

Cold-chain loss-reduction pilot (15 districts)

Illustrative: ResearchState

High post-harvest loss in perishables depresses farmer price realisation.

Owner: Mission Lead — Agriculture & Food Systems
Baseline: Fruits 6–15%, vegetables 5–12% (NABCONS 2020-22)
Target: Measured loss reduction ≥ 5 percentage points in pilot districts
Sample dates: Y1 Q2 → Y3 Q2
Est. / actual: ₹400 cr / ₹0 cr
KPI: agri-post-harvest-loss
Priority: 2 / 100

Depends on: Loss-measurement protocol (PS-012); Private cold-chain operators

Risks: Stranded assets if demand aggregation fails; Power reliability

Y1 Q2 — Sample schedule: fiscal review would test the recurring energy-cost assumption before any pilot spend.

PS-006

Insurance payout within 30 days

Illustrative: ResearchShared

Long claim-to-payout delays make crop insurance ineffective as risk management.

Owner: Mission Lead — Agriculture & Food Systems
Baseline: Payout timelines not consistently published
Target: Median ≤ 30 days in pilot states
Sample dates: Y1 Q2 → Y2 Q4
Est. / actual: ₹60 cr / ₹1 cr
KPI: Median days claim-to-payout
Priority: 5 / 100

Depends on: Insurer data sharing; Yield-estimation technology validation

Risks: Moral hazard if assessment automated poorly

Y1 Q2 — Sample schedule: evidence review of satellite yield estimation in Y1 Q2.

PS-012

Post-harvest loss measurement protocol

Illustrative: DeliveredShared

Loss figures are inconsistent across studies; no standard protocol.

Owner: Pragati Shakti Labs
Baseline: No standard
Target: Peer-reviewed protocol applied to 5 crops
Sample dates: Y1 Q4 → Y1 Q2
Est. / actual: ₹3 cr / ₹2.6 cr
KPI: Protocol published and adopted
Priority: 29 / 100

Y1 Q2 — Sample schedule: protocol v1.0 published by Y1 Q2; feeds PS-005.

Learning · simulated examples

Labs projects and what didn't work

Labs

RESEARCHSatellite yield estimation accuracy

What didn't work

No discontinued programmes recorded.