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Climate AI · Mizoram, India

Ancient hillsides, read by satellites,guided by elders.

Kuthnathawk AI pairs generations of Jhum wisdom with climate forecasting, IoT sensing and geospatial intelligence.

Bring RevoFarms to your hills.

Open the dashboard today, or partner with us to bring climate intelligence to your community.

RevoFarms

My farmToday
Sample data
0Soil health

Rice blast detected

92% confidence · treatment ready

Delay sowing 5 days

Assistant · soil still recovering

300+ farmers

Engaged across Mizoram

353 responses

Cleaned field survey

Advice that fits your land.

The Global Challenge

Jhum has survived centuries of change. It wasn't built for this pace of it.

Shifting rainfall, rising temperatures, shorter fallow cycles and new crop diseases are straining a system that depends on healthy forest and rested soil. Most agricultural technology is built for flat, mechanised farms — not terraced mountain land.

Every season, a farmer must decide

  • When to prepare land
  • Which indigenous crops to cultivate
  • Whether soils have recovered sufficiently
  • How to manage limited water resources
  • How to respond to emerging crop diseases
  • How to maintain biodiversity while improving livelihoods
A farmer weeding young crops on a freshly burned jhum plot, with steep green Mizoram hills behind
Jhum cultivation, MizoramPhoto RevoFarms
Our Solution

An AI co-pilot, not a replacement.

RevoFarms combines sensors, satellite imagery, AI reasoning and local practice into advice that fits your land — and leaves every decision with the farmer.

Plan the season

Decide what to grow, and where, with the forecast on your side.

Climate-aware crop planning
Recommendations tuned to forecast conditions, fallow status, and indigenous crop knowledge.
Biodiversity-aware planning
Mixed-cropping guidance that protects local ecosystems.

Read the land

Know how the soil is doing without waiting for a bad harvest.

Soil health intelligence
Continuous moisture, nutrient, and temperature readings.
Fallow recovery assessment
Satellite vegetation analysis tells you when land has truly rested.

Protect the crop

Catch trouble early, with advice in your own language.

AI-driven disease diagnosis
Computer vision reads crop imagery to catch disease early.
Multilingual farming assistant
An AI co-pilot that speaks the farmer's language, not the system's.

Keep records, reach buyers

Turn a season's work into something you can keep and sell.

Digital farm records
Every season, land, and harvest, kept and searchable.
Farmer marketplace
A direct line from harvest to buyer.
The Cultivation Cycle

Support at every stage, in order.

From choosing land to reaching market, RevoFarms follows the path a farmer walks each season — with intelligence at the moment each decision is made.

Forested hills catching the first light in Hlimen Damveng
Hlimen Damveng, MizoramPhoto GerogeIsMedia

Choose the land and check it is ready.

  1. 01

    Land selection

    Terrain and fallow-recovery analysis identify where to cultivate next.

  2. 02

    Soil assessment

    IoT sensors read moisture, nutrients, and temperature before planting.

Phase 1 of 4
Thatched Mizo houses under forest canopy at Reiek
Reiek heritage village, MizoramPhoto अजीत कुमार तिवारी
A Mizo hill village of thatched houses, in an archival photograph
Indigenous Knowledge Intelligence

“We are not digitizing farmers. We are preserving what they already know.”

The platform records and builds on centuries of ecological wisdom, pairing traditional observation with modern data — so recommendations are both culturally relevant and scientifically sound.

What we preserve

Indigenous farming calendarsLocal weather indicatorsTraditional crop selectionCommunity cultivation practicesLocal biodiversity observationsIndigenous seed knowledgeSeasonal ecological indicators
Climate Impact

Adaptation that leaves the land better.

A farmer weeding young crops on a freshly burned jhum plot, with steep green Mizoram hills behind
Jhum cultivation, MizoramPhoto RevoFarms

Water & inputs

  • Reducing unnecessary fertilizer usage
  • Optimizing water consumption

Soil & land

  • Supporting soil regeneration
  • Reducing soil erosion
  • Supporting sustainable land-use planning

Biodiversity & carbon

  • Encouraging biodiversity-friendly mixed cropping
  • Increasing long-term carbon storage

Resilience & food

  • Improving resilience to climate variability
  • Reducing crop losses from disease outbreaks
  • Strengthening food security
Research Foundation

Built on ground-level research, not assumptions.

Field research across Mizoram — validating farming challenges, identifying climate risks, and consulting local stakeholders.

Farmers took part
Cleaned survey responses
Multiple
Districts of Mizoram surveyed
Champhai town on its hillside above harvested paddy terraces
Champhai, MizoramPhoto Bogman

What farmers told us

Six problems, and what we built for each.

  • Rainfall dependency

    Rainfall and seasonal-risk forecasting

  • Declining yields

    Climate-aware crop planning

  • Nutrient-poor soils

    Soil health intelligence

  • Limited market access

    A direct farmer-to-buyer marketplace

  • Increasing climate variability

    Forecasts and resilient mixed cropping

  • Lack of digital agricultural intelligence

    An AI co-pilot in the farmer's own language

Under the hood

Four layers of intelligence, one platform.

Frontier AI

Models that see crops, forecast risk and explain the answer.

Environmental Intelligence

Field, sky and season, measured together.

Internet of Things

Low-power sensors that keep working far from a signal.

Geospatial Intelligence

The whole landscape, seen from above.

Competitive Advantage

Built for this terrain. Not adapted to it.

Most AgTech is built for productivity. RevoFarms is built for climate adaptation in indigenous agricultural systems.

01

Made for mountains

  • AI designed specifically for mountainous indigenous agriculture
  • Community-centered design
02

Knowledge meets AI

  • Integration of traditional ecological knowledge with frontier AI
  • Strong emphasis on sustainability and biodiversity
03

Works where signal doesn't

  • Offline-first architecture for remote communities
04

One ecosystem

  • Climate intelligence rather than simple farm management
  • End-to-end environmental monitoring
  • AI + IoT + satellite + geospatial intelligence in one ecosystem
Business Model

Farmers first. Institutions alongside.

Primary

Smallholder farmersIndigenous farming communitiesFarmer Producer Organizations

Secondary

Agricultural departmentsClimate resilience programsNGOs & development agenciesUniversities & research institutionsAgribusinessesFinancial institutions & insurers
Our Long-Term Vision
The future of agriculture isn't replacing traditional knowledge with technology. It's combining humanity's oldest agricultural wisdom with its most advanced intelligence.

Beginning in Mizoram, RevoFarms is built to expand across Northeast India and beyond — building the digital climate infrastructure for indigenous agriculture across Asia-Pacific.

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