ML · Forest restoration · Himachal Pradesh
Revolutionizing forest restoration through machine-learning powered plantation site selection — now with native-species recommendations, in Hindi and English.
A Telegram bot · share a location · get a prediction in seconds
Illustrative output · one ~7-hectare tile
The challenge
Most tree planting initiatives fail by choosing unsuitable sites, squandering resources and hindering successful restoration.
of annual restoration budget is wasted on doomed sites
of trees die in poorly selected locations
spent annually in India on forest restoration and conservation
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 pipeline
WhereToPlant (@seedsagebot) is a data-driven Telegram bot that transforms how we approach forest restoration.
Open Telegram, find @seedsagebot, and share your geographic coordinates.
The machine-learning model processes environmental data, climate patterns, soil and elevation.
A color-coded viability map with survival predictions and star ratings.
Native-species recommendations for the site, graded by confidence — then decide.
Analyzes soil composition, climate patterns, elevation, and historical vegetation data.
Precise percentage-based survival predictions and star ratings.
Operates in both Hindi and English for diverse communities across India.
Comprehensive analysis within seconds via Telegram's familiar interface.
Share a location and the bot now recommends the native tree species suited to that specific site — each graded High, Medium, or Low confidence, in Hindi and English.
Species suited to this area
Guidance to consider, not a directive — local conditions matter.यह केवल सुझाव है, आदेश नहीं।
Current focus
The bot currently specializes in Himachal Pradesh, a state of critical ecological importance in the Indian Himalayas.

From 350m to 7,000m elevation, requiring species-specific planning.
Subtropical to alpine conditions within the same state.
Varied geological formations affecting plantation success.
Impact & vision
Directs limited funds, labor, and saplings to locations with the highest success probability.
Prevents costly mistakes by identifying unsuitable sites — a potential $63M–$100M saved in HP over 10 years.
Gives local citizens and organizations scientific tools for conservation decision-making.
Evidence-based insights for government and NGO restoration strategies.
of land targeted for restoration globally — a massive opportunity for impact.
in potential annual global waste if restoration is poorly targeted.
Aligns with the SDGs, Bonn Challenge, and national commitments (NDCs).
Roadmap
Site selection and species recommendation are live. The rest of a comprehensive restoration ecosystem is next.
“What to plant” for a location.
Predictions for “when to plant” for maximum success.
Additional Indian states and integration with government restoration programs.
Community monitoring, feedback systems, and enhanced data visualization.
Demo
A short walkthrough of how WhereToPlant helps you make smarter, data-driven restoration decisions.
Whether you're a conservationist, researcher, or someone who cares about our environment — WhereToPlant is your gateway to smarter restoration decisions.