Geo‑sampling • Lab Testing • GIS • Crop Suitability • Policy Dashboards

Map soil health. Recommend the right crop. Boost farm outcomes.

A statewide program that geo‑tags soil samples, analyzes nutrients, integrates with GIS, and auto‑recommends suitable crops—helping farmers choose wisely and policy makers plan better.

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Coverage

All Districts

Sampling

Geo‑tagged

Advisory

Crop‑specific

Access

Web + Mobile

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Snapshot

Soil Health Map Overview

GIS‑Linked
Sample A Sample B Sample C Sample D Sample E

Nutrient Profile

Macro + micro nutrients tracked

Crop Suitability

Auto recommendations by location

Note: Map is illustrative for demo.

Challenge

Farmers often selected crops without matching local soil fertility and micro‑nutrient status—leading to low yields, poor resource use, and soil degradation. Governments needed a scientific way to guide “right crop, right location.”

No location‑specific soil insights for crop choice.
Inefficient fertilizer use increased costs and reduced yield.
Limited visibility for planners across districts and blocks.
Fragmented data from field to lab to policy rooms.

Solution

A statewide Soil Health Mapping Program collected geo‑tagged samples, analyzed them in Soil Testing Labs, and generated Soil Health Cards. These recommended balanced fertilizer use and suitable crops by location based on soil type, nutrients, and regional conditions.

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Implementation Highlights

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Geo‑tagged Sampling

Accurate GPS tagging of farm samples across villages.

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Lab Testing

Macro/micro nutrients, organic carbon, and soil properties.

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GIS Integration

Soil test results linked to map layers for spatial analysis.

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Automated Crop Suitability

Location‑wise recommendations generated from soil data.

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Fertility Maps at Multiple Levels

Block, district, and state‑level layers for planning and policy.

Block District State

Access

Web & Mobile

Mode

Online/Offline

Scope

All Districts

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Impact

Location‑Specific Advisory

Farmers received crop guidance tailored to their soil.

Reduced Crop Failure Risk

Crops matched with soil capability improved reliability.

Efficient Fertilizer Use

Balanced recommendations lowered cost and improved health.

Better Planning Data

Reliable layers for regional planning and allocation.