Sencrop provides a connected agro-meteorological platform that utilizes local weather stations to deliver precise data on temperature, humidity, and soil conditions. This technology enables farmers to monitor weather patterns, anticipate frost risks, and optimize irrigation, ultimately improving crop protection and resource efficiency.
Funding
$18M 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 need accurate, localized weather data to make informed decisions about planting, irrigation, and crop protection, but traditional weather sources often lack the precision required for specific fields. Relying on generalized forecasts can lead to inefficient resource use, increased risks from frost or disease, and reduced yields.
Solution
Sencrop provides an agro-meteorological platform that delivers precise, field-level weather data through a network of connected weather stations. These stations measure key parameters like temperature, humidity, rainfall, and wind speed, transmitting data to a cloud-based platform accessible via web and mobile apps. By monitoring real-time conditions and receiving customized alerts, farmers can optimize irrigation, anticipate frost risks, schedule treatments effectively, and ultimately improve crop yields while minimizing resource waste. The platform also integrates with agronomic decision support tools (DSTs) to provide tailored recommendations based on specific crop needs and local weather patterns.
Target Audience
Sencrop primarily targets farmers and agricultural groups seeking to improve decision-making through access to precise, localized weather data and integrated agronomic insights.
Features
- Network of precision weather stations measuring rainfall, temperature, humidity, wind speed, and other key parameters
- Real-time data access via web and mobile applications
- Customizable alerts for frost, treatment windows, and other critical events
- Integration with agronomic decision support tools (DSTs) for optimized recommendations
- Historical data tracking and reporting for trend analysis
- Rainfall radar with animated precipitation forecasts
- Cumulative weather data tracking, including rainfall, growing degree days, and cold hours
- Ability to export data to Excel or CSV files for further analysis
- Specialized sensors like soil moisture probes and leaf wetness sensors for comprehensive monitoring