Kshiti
Precision Agriculture · Satellite AI

Satellite intelligence
for every Indian farmer

Kshiti delivers real-time, farm-level advisory - irrigation, soil health, pest alerts - powered by satellite data and AI. No sensors. No field visits. Just smarter farming.

📱 All insights are visible inside the Kshiti app.
126M
SMALLHOLDER FARMERS IN INDIA
35%
AVG YIELD LOSS FROM POOR DECISIONS
₹50K Cr
ANNUAL LOSSES WE ADDRESS
Why Now?
🌍
Climate change is increasing uncertainty
🏢
Data is available, but not useful for farmers
📦
Advisory is generic, not farm-specific
✅
Farmers need timely, trusted decisions
IN
India needs tech for its farms
9:41 ● ● ●
Kshiti App
Ludhiana, Punjab
Your farm status
Farm Health: Good ↑
Soil Moisture
68%
NDVI Score
0.72
Water Stress
Low
Crop Health Progress
Weak0.72Strong
Irrigate in 3 days
01 / 13
Indian farmers are flying blind banner
⚠ Without Kshiti
Problem Chain
🤔
Guesswork
🧪
Wrong Input
🌱
Crop Stress
📉
Yield Loss
Without timely satellite intelligence, stress is detected late - causing input waste, water loss, pest spread, and lower farmer income.
🌡
Climate + Water Risk
Unpredictable weather and irrigation waste water and reduce yield.
🐛
Late Pest Detection
Stress is often noticed only after visible damage.
💰
High Cost of Precision Tools
Sensors, soil testing, and expert visits are costly or slow.
Important India Case
Punjab 2022-23
Pest stress such as stem borer and leaf blast was often detected late, reducing paddy yield.
Source: The Indian Journal of Agricultural Sciences
Kshiti Prevention Layer
With Kshiti: early detection → better decisions → reduced losses
02 / 13
The Product

A farm's digital twin, in every farmer's pocket

Satellite data → simple farmer decisions

💧 IrrigationWater timing 🐛 Pest AlertsEarly warning 🌱 Soil HealthField condition 🛰 Crop MonitoringNDVI tracking 📊 ReportsPDF insights
✔ No sensors. No field visits.
Just satellite intelligence.
📊 NDVI Tracking
🐛 Pest Alert
💧 Irrigate
in 3 days
Kshiti AppLudhiana, Punjab
Farm HealthGood ↑🍃
NDVI0.72
Water StressLow💧
Pest RiskLow🐛
Next ActionIrrigate in 3 days📅
03 / 13
The Process

From farm mapping to actionable advisory

Kshiti turns satellite data into simple, trusted farm decisions.

🛰
📈 NDVI 0.72
💧 Moisture Low
🐛 Pest Risk Low
01
📍

Map Farm

Farmer marks boundary once

02
🛰

Analyze Signals

Satellite + weather + crop data processed

03
📱

Send Advisory

Farmer gets simple action in app

Satellite Data + Weather + Crop Profile → Kshiti Engine → Farmer Action
04 / 13
Business model

Three revenue streams, one platform

A farmer data network powers recurring revenue and high-margin partnerships.

🌱 Kshiti
Platform
📱App 🛰Satellite 🧠AI Engine 🗃Farm Data
🛰
🧠
🌾

Farmer Subscription

Freemium SaaS core revenue

₹200-500 / acre / season
Basic monitoringPremium advisoryHigh volume
🏛

Government Contracts

Project-based large ticket

₹5-50L / project
PMFBYNABARDState depts
🧠

B2B API Licensing

Recurring farm intelligence

₹2-10 / API call
Risk scoringYield predictionInsights
Recurring farmer baseSubscription foundation Large-ticket contractsInstitutional scale Data API upsideHigh-margin licensing
05 / 13
Impact

Impact that compounds

Faster farm decisions create measurable gains for farmers.

Decision shift

From late detection to timely action

🛰
Kshiti App Farm Health: Good Action: Irrigate in 3 days
Detect early Act faster Record history
🌱 Kshiti
Impact
Yield
Savings
Records
📉
35%
Preventable crop loss
Risk reduced with timely insight.
💸
₹50K
Cost barrier removed
No expensive farm sensors.
⏱
Instant
Decision time reduced
2-3 weeks becomes instant.
📈
+15-25%
Yield Improvement
Timely crop insights.
💧
-20%
Water Usage
Smarter irrigation alerts.
🧪
Less
Input Waste
Reduced overuse.
🐛7-14dEarly Risk AlertsBefore major damage.
💰+IncomeCarbon PotentialFuture earning layer.
📊TrustBetter RecordsCredible farm history.
Better decisions compound into higher yield, lower costs, and stronger farmer records.
06 / 13
Traction

Traction

Prototype built. Satellite pipeline defined. First 50-100 farmer pilot preparing.

01

Prototype built

Farm dashboard and advisory interface are functional.

02

Data flow defined

Farm mapping to satellite monitoring, NDVI, and insights.

03

Pilot preparing

First 50-100 farmers targeted for deployment.

✓
Progress

Functional prototype developed with farm dashboard and advisory interface.

→
Flow

Product flow designed: farm mapping to satellite monitoring to NDVI to insights.

🛰
Pipeline

Satellite-based data pipeline (GEE) defined and tested conceptually.

🔍
Validation

Problem validated through research on Indian smallholder farming challenges.

🌱
Outreach

Initial outreach strategy built around an FPO-first model.

🚀
Pilot

Preparing for pilot deployment with first 50-100 farmers.

🎯
Pilot-ready foundationPrototype, satellite pipeline, FPO-first outreach, and first farmer cohort planning are in place.
07 / 13
Competitive Analysis

Kshiti wins where others stop

Satellite intelligence + farmer dashboard + carbon readiness in one platform.

KshitiFull-stack Agri AI
Satellite Layer
Farmer App UX
Carbon Ready
Farm Data Moat
🛰

Satellite-first

Farm-level signals, not generic advice.

📱

Farmer-first UX

Simple decisions farmers can act on.

🌍

Carbon-ready

Built for future credit participation.

🧠

Data moat

Farm history compounds over time.

Strength Score
4 core pillars
Kshiti
Dhenu LLM
Bharat-VISTAAR
FarmerChat
Cropin
Satellite Monitoring
Farmer Dashboard UX
Carbon Credit Layer
Farm Data History
View Detailed Comparison Matrix
Detailed Comparison Matrix
Criteria
Kshiti
Dhenu LLM
Bharat-VISTAAR
FarmerChat
Cropin
Positioning
✅ End-to-end farm intelligence platform
⚠️ AI chatbot for farmers
⚠️ Govt advisory platform
⚠️ GenAI advisory system
• Enterprise agri intelligence
Core Function
✅ Satellite + AI advisory
⚠️ Language-based advisory
⚠️ Info + advisory
⚠️ Conversational AI
• Monitoring + analytics
Target User
✅ Small & mid-scale farmers
• Farmers
• Farmers (large scale)
• Farmers
⚠️ Enterprises / large farms
Tech Layer
✅ Remote sensing + analytics
⚠️ LLM-based
⚠️ Platform-based
⚠️ LLM-based
• ML + remote sensing
Personalization
✅ Hyperlocal satellite + farm data
• Limited context
• Low personalization
⚠️ Moderate personalization
• High enterprise-level
Data Inputs
✅ Satellite + weather + soil data
⚠️ Text-based inputs
⚠️ Govt + static data
⚠️ Weather + crop data
• Satellite + field + IoT
Usability
✅ Simple, farmer-first UX
• Easy chat interface
⚠️ Portal-based
• Chat interface
⚠️ Complex dashboards
Differentiation
✅ Data + advisory + carbon credits
⚠️ Conversational AI
⚠️ Govt-backed reach
⚠️ AI support
• Deep analytics
Scalability
✅ Product-led scalable model
• Scalable AI model
• High distribution
• High
• High
Monetization
✅ Subscription + B2B + carbon credits
⚠️ SaaS / AI services
• Public model
⚠️ SaaS model
• Enterprise contracts
Dependency
✅ Low dependency own data layer
⚠️ Training data
• Govt infra
⚠️ APIs
⚠️ Integrations
Moat Potential
✅ Strong data + UX + insights
⚠️ Moderate
• Low
⚠️ Medium
• Strong enterprise data
08 / 13
Data-Driven Forecasting Study

🚜 Data-Driven Forecasting Study — Punjab Farmer

From guesswork to precision farming

👨‍🌾 Rajesh Kumar 6 Acres Wheat & Paddy
Decision Shift

Rajesh's farm journey

🛰
Kshiti App Farm Health: Good Action: Irrigate in 3 days
🔍 Detect early ⚡ Act faster 📋 Record history
⚠
Before
↓
✓
After Kshiti

Before

⚠ Uneven crop growth 💧 Excess water usage 💰 High fertilizer costs 🐛 Late pest detection ❌ No data-driven insights

After Kshiti

🛰 Satellite crop monitoring 📍 Zone-wise insights 💧 Optimized irrigation 🔍 Early stress detection ✅ Data-driven decisions
📈
+18%
Yield
💧
-25%
Water Usage
🧪
-12%
Fertilizer Cost
⏱
10-12d
Early Detection
💰
₹10K-₹15K
Extra Income
Same farmer. Same land. Better decisions.
Modeled case based on real agricultural patterns and benchmarks.
09 / 13
Market Size

Market Size

Two-phase market expansion across advisory and carbon credit income.

🌱 Phase 1
Advisory Market
Entry wedge
Total Market100% · ₹3.6 lakh crore
All small & mid-scale farmers
Reachable Market~2–3% · ₹60,000–₹75,000 crore
Digital + FPO-connected farmers
Initial Capture~0.1% · ₹150–₹300 crore
Initial 50K–100K farmers
0.1%
Capture
₹150–300 Cr
🌍 Phase 2
Carbon Credit Market
Income layer
Total Market100% · ₹2 lakh crore
Eligible sustainable agriculture
Reachable Market~10% · ₹20,000 crore
Measurable practice adoption
Initial Capture~0.05% · ₹30–₹100 crore
Farmers in carbon programs
0.05%
Capture
₹30–100 Cr
Sources: Agriculture Census India • NABARD FPO data • Ministry of Agriculture • World Bank / carbon market reports • Internal pricing assumptions
10 / 13
Outreach Strategy

Farmer Access Network

Kshiti scales through trusted rural channels, not expensive ads.

👥
Trusted
Local touchpoints farmers trust.
₹
Low Cost
Human network, not paid ads.
📈
Scalable
Network effect drives growth.
Kshiti App
🏡
Sarpanch NetworkVillage leaders bring groups.
👥
Village DemosShow alerts and advisory.
FPO
PartnershipsOnboard farmer groups.
🚜
Local InfluencersDealers and agri shops.
🏦
Rural BanksReach loan-linked farmers.
🏡
Sarpanch Network
Village leaders bring farmer groups on board.
→
👥
Village Demos
Live demos create trust and drive adoption.
→
🏦
Rural Banks
Access loan-linked farmers at the right time.
→
🚜
Local Influencers
Leverage dealers and agri shop networks.
→
FPO
FPO Partnerships
Partner with FPOs to onboard at scale.
→
🔗
Sarpanch-led onboarding
= scalable village network
🔍
IdentifyLocal leaders
👥
OnboardFarmer groups
📱
SupportContinuous value
📈
ScaleStronger network
11 / 13
Financials

Financials

Simple farmer pricing: ₹500 per acre, per crop season. Revenue grows with cultivated acreage, not with hidden add-ons.

Unit Economics (Reference: 1-Acre Farm / 4-Month Season)
💰
₹500
Farmer pays per acre / season
⚙
₹16-₹60
Projected cost per reference farm / season
📈
₹440-₹484
Gross profit per acre / season
↘ ₹500 revenue − (₹4-₹15/month × 4 months) = ₹440-₹484 gross profit per season. One-acre reference farm; pilot billing will validate the range.
Delivery Cost Breakdown
Estimated shared cost per farmer / month at commercial scale
Estimated total: ₹4-₹15 / farmer / month
Prototype cash software cost today: ₹0*
📍
Mapping
₹0.5-₹2 / mo
Coordinates and map tiles
🛰
Satellite Data
₹0 / mo
Sentinel-2 source
⚙
Processing
₹1-₹4 / mo
Cloud compute allocation
📊
Index Calc
₹0.5-₹2 / mo
NDVI / NDMI / NDWI
☁
Storage
₹0.5-₹1 / mo
Field and imagery metadata
📱
Delivery
₹0.3-₹1 / mo
App, SMS and WhatsApp
🤖
AI & Analytics
₹1-₹3 / mo
Models and inference
👥
Support
₹0.5-₹2 / mo
Farmer support allocation
🌱
📈 Acre-linked revenue
🪙 Free prototype stack
🚀 Pilot validates unit cost
More enrolled acres → More seasonal revenue
12 / 13
Carbon Credits - New Revenue Stream

Farmers earn carbon income
Kshiti earns a platform fee

Kshiti's satellite data becomes the MRV backbone for carbon credit generation - turning sustainable farming into farmer income and a high-margin revenue layer for Kshiti.

iThis revenue stream begins only after verified carbon projects are registered and validated.
Revenue Model
15-25%
Platform fee per credit
₹800-₹5,000
Per tonne CO₂ price
3T/ha
Avg emission reduction India
01
Sustainable Practices
Farmers adopt climate-smart agriculture
02
Monitoring
Satellite tracks soil carbon, biomass, emissions
03
Audit-Ready Reports
Digital MRV reports generated
04
Third-Party Verification
Verified by VVBs (Verra / Gold Standard)
05
Credit Sale
Credits sold in voluntary carbon markets
06
Farmer Payout
₹15,000-₹50,000 per farmer over 3 years
✓Phase 1 builds farm-level data and readiness. Carbon credits begin only after formal project registration, verification and issuance.
📝
MRV backboneSatellite records support audit-ready reporting
🌱
Farmer incomeClimate-smart practices create future upside
₹
Platform marginKshiti earns per verified carbon credit
Carbon income depends on project scale, methodology, and market prices. Estimates converted using approximate exchange rate for simplicity.
13 / 13