ML-Powered Forest Restoration

WhereToPlant Bot

Revolutionizing Forest Restoration Through Machine-Learning Powered Plantation Site Selection

The Challenge

Billions Wasted on Ineffective Tree Planting 💸

Most tree planting initiatives fail by choosing unsuitable sites, squandering resources and hindering successful restoration.

60%

of annual restoration budget is wasted on doomed sites

80%

of trees die in poorly selected locations

$800M+

spent annually in India on forest restoration and conservation

Why Do Reforestation Efforts Fail?

Inadequate Site Analysis: Planting without considering crucial data like soil health, climate patterns, and land history.

Mismatched Species: Selecting tree species that are not suited to the local micro-environment.

Ignoring Social Factors: Overlooking land tenure issues and community needs, which undermines long-term success.

Wasted Resources: Pouring funds and effort into locations doomed from the start, eroding trust and slowing progress.

The Solution: ML Meets Conservation

WhereToPlant Bot (@wheretoplantbot) is a data-driven Telegram bot that transforms how we approach forest restoration.

Location Intelligence

Analyzes soil composition, climate patterns, elevation, and historical vegetation data

Success Prediction

Provides precise percentage-based survival predictions and star ratings

Bilingual Access

Operates in both Hindi and English for diverse communities across India

Instant Results

Delivers comprehensive analysis within seconds via Telegram's familiar interface

How It Works

User opens Telegram, finds @wheretoplantbot, and shares their geographic coordinates.

Current Focus: Himachal Pradesh

The bot currently specializes in Himachal Pradesh, a state of critical ecological importance in the Indian Himalayas.

Map of Himachal Pradesh

Altitude Variations

From 350m to 7,000m elevation requiring species-specific planning.

Climate Diversity

Subtropical to alpine conditions within the same state.

Soil Complexity

Varied geological formations affecting plantation success.

Impact & Vision

Resource Optimization

Directs limited funds, labor, and saplings to locations with highest success probability.

Waste Reduction

Prevents costly mistakes by identifying unsuitable sites, saving a potential $63M-$100M in HP over 10 years.

Community Empowerment

Gives local citizens and organizations scientific tools for conservation decision-making.

Data-Driven Policy

Provides evidence-based insights for government and NGO restoration strategies.

Global Impact & Alignment

350M+ ha

of land targeted for restoration globally, offering a massive opportunity for impact.

$10B+

in potential annual global waste if restoration is poorly targeted.

Global Goals

WhereToPlant aligns with the SDGs, Bonn Challenge, and national commitments (NDCs).

What's Next?

WhereToPlant represents the first step in a comprehensive restoration ecosystem.

Species Recommendation

Engine for "what to plant" based on location analysis.

Optimal Timing

Predictions for "when to plant" for maximum success.

State Expansion & Integration

Expansion to additional Indian states and integration with government restoration programs.

Community & Advanced Analytics

Community monitoring, feedback systems, and enhanced data visualization.

Watch a Demo

See WhereToPlant in action! Watch this short video to understand how our platform helps you make smarter, data-driven restoration decisions.

Ready to Make a Difference?

Join the movement towards data-driven forest restoration. Whether you're a conservationist, researcher, or simply someone who cares about our environment, WhereToPlant is your gateway to smarter restoration decisions.