Eartheritage:

Reviving Traditional Farming with AI /ML

Eartheritage blends ancient agricultural wisdom with latest AI models to empower small-scale farmers. We preserve cultural heritage while boosting sustainability and profitability.

The Problem

1

Loss of Tradition

Traditional farming practices are disappearing, threatening biodiversity and cultural heritage.

2

Struggling Farmers

Small-scale farmers face economic challenges and struggle to compete in modern markets.

3

Environmental Impact

Current farming methods often have negative effects on the environment.

Our Solution

1

AI-Powered Platform

Combines traditional wisdom with modern technology for optimal farming practices.

2

Intelligent Knowledge Base

Digitizes centuries of farming knowledge, making it accessible to new generations.

3

Digital Twin Modeling

Creates virtual farm models for optimization and scenario planning.

4

Personalized Recommendations

Provides tailored advice based on local conditions and individual farm needs.

Market Opportunity

Product Features

AI-Powered Knowledge Base

Captures traditional wisdom and learns from user inputs.

Digital Twin

Models entire farming process and integrates with IoT devices.

Personalized Recommendations

Balances tradition with modern techniques for optimal results.

Supply Chain Optimization

Connects farmers to markets and predicts demand.

Technology Stack

AI and Machine Learning

  • Deep Learning (PyTorch)
  • Reinforcement Learning
  • Natural Language Processing (BERT)

Digital Twin

  • Unity for 3D modeling
  • MATLAB for mathematical modeling

Infrastructure

  • IoT sensors
  • Satellite imagery
  • AWS cloud
  • React Native mobile app

Business Model

B2B2C Model

Serving farmers, agri-businesses, and consumers through a tiered platform.

Revenue Streams

Subscriptions, data insights, marketplace commissions, and consulting services.

Pricing Strategy

Tiered subscriptions based on farm size, with a free tier for small farmers.

Go-to-Market Strategy

1

Pilot Programs

Launch in 5 diverse agricultural regions in India.

2

Partnerships

Collaborate with universities, NGOs, and local institutions.

3

Digital Marketing

Target younger farmers through social media and online campaigns.

4

Trade Shows

Showcase at agricultural conferences and events.

Competitive Advantage

1

Unique Blend

Combines traditional knowledge with cutting-edge technology.

2

Personalization

Highly tailored recommendations for each farmer's unique conditions.

3

Holistic Approach

Considers sustainability, economics, and cultural preservation.

4

Scalable Platform

AI-driven system capable of serving millions of farmers.

Team

Malur Narayan, CEO

30+ years in AI and digital transformation. AI for Social Impact. Former Tata Consultancy Services leader. Organic farming.

Dr. Sirisha Kuchimanchi, COO

20+ years in semiconductors. Former Director at Texas Instruments. IEEE Senior Member. Experience with farmers in India.

Team

Malur Narayan, CEO

30+ years in AI and digital transformation. AI for Social Impact. Former Tata Consultancy Services leader. Organic farming.

Dr. Sirisha Kuchimanchi, COO

20+ years in semiconductors. Former Director at Texas Instruments. IEEE Senior Member. Experience with farmers in India.

Dr. Sirisha Kuchimanchi, COO

20+ years in semiconductors. Former Director at Texas Instruments. IEEE Senior Member. Experience with farmers in India.

Financials and Funding

Funding Ask

Seeking $800,000 in seed funding

Use of Funds

  • 40% Technology development
  • 25% Team expansion
  • 20% Marketing
  • 15% Operations

Projections

Year 1: $500K revenue, 10,000 users

Year 3: $5M revenue, 100,000 users

Year 5: $20M revenue, 500,000 users

Vision and Impact

Preserve Knowledge

Safeguard traditional farming wisdom for future generations.

Empower Farmers

Reach 1 million small-scale farmers by 2028, increasing incomes by 40%.

Environmental Impact

Reduce agricultural water usage by 30% in our network.

Global Sustainability

Contribute to UN Sustainable Development Goals 1, 2, 12, and 13.

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