eSagu

ESagu

eSagu is an artificial intelligence-based personalized crop advisory system designed for smallholder farmers in India. It provides customized crop management and farm advisory services through mobile apps and web platforms.
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eSagu: AI-Powered Crop Advisory System

Personalized crop management and farm advisory services for smallholder farmers in India, leveraging artificial intelligence technology.

What is ESagu?

eSagu is an artificial intelligence and machine learning-powered crop advisory system designed specifically for smallholder farmers in India. It aims to improve crop productivity and income for farmers by providing personalized, location and crop-specific advisories on topics like sowing, nutrients, irrigation, pest and disease management.

The system collects data on soil, weather, crop growth stage and uses computer vision and predictive analytics to give tailored recommendations to farmers on their phones via SMS or mobile apps. Real-time alerts on upcoming weather events, pest/disease outbreaks also help farmers take preventive measures.

eSagu has benefited over 2 million farmers across 16,000+ villages in India so far through its multilingual apps and on-ground training programs. By increasing yields, reducing costs and crop losses, it has demonstrated the social impact of AI in improving incomes and livelihoods of smallholder farmers.

ESagu Features

Features

  1. Personalized crop and nutrient management advisories
  2. Localized weather forecasting
  3. Pest and disease diagnostics
  4. Market price information
  5. Multilingual support

Pricing

  • Freemium
  • Subscription-Based

Pros

Increases crop yields and farmer incomes

Saves time and effort in information gathering

Accessible and affordable for smallholder farmers

Available in local languages

Works offline in remote areas

Cons

Requires basic tech literacy

Limited to few crops and regions currently

May require smartphone to access full features

Data privacy concerns

Relies on accuracy of data input by farmers


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