BoosterAgro is a digital platform that provides farmers in South America with real-time weather forecasts, satellite imagery, and agronomic data to enhance crop management and decision-making. By centralizing critical agricultural information, the app helps users monitor crop health, optimize spraying schedules, and track rainfall, ultimately improving productivity and efficiency in farming operations.
Funding
$405K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Farmers in South America often lack access to consolidated, real-time data on weather patterns, crop health, and localized agronomic conditions, hindering effective decision-making and resource allocation. This information gap can lead to suboptimal planting schedules, inefficient spraying, and increased vulnerability to unpredictable weather events.
Solution
BoosterAgro is a mobile platform that delivers location-specific weather forecasts, satellite imagery, and community-sourced rainfall data to farmers, enabling them to optimize crop management. The application aggregates weather predictions from multiple sources, computes a weighted average forecast, and provides insights on optimal spraying times based on environmental conditions. Satellite-derived NDVI imagery allows users to monitor crop development and identify areas needing attention, while a collaborative rainfall map leverages crowd-sourced data to visualize precipitation patterns across different regions. By centralizing critical information and incorporating community contributions, BoosterAgro aims to improve productivity, reduce operational costs, and enhance resilience to climate variability.
Target Audience
The primary users are farmers and agricultural professionals in South America seeking to improve crop yields and optimize resource utilization through data-driven insights.
Features
- Aggregated weather forecasts from multiple providers with a weighted-average prediction
- Spraying recommendation engine based on temperature, humidity, wind speed, and rainfall probability
- NDVI satellite imagery for monitoring crop health and growth patterns
- Collaborative rainfall map populated with user-submitted data
- Tool for recording precipitation, hail, frost, and other climatic events
- Data-sharing capabilities for collaboration with farm teams, consultants, and contractors