Cropler provides real-time agricultural management insights using agri-cameras and soil sensors integrated into a web platform. This system delivers AI-powered recommendations, monitors plant development via BBCH scale, and tracks soil conditions like humidity and temperature. Farmers and agronomists use this data to optimize fertilization, detect early crop issues, and reduce manual field scouting costs.
Funding
$126.5K 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
Traditional crop monitoring relies on manual scouting, which is time-consuming, costly, and provides infrequent data, hindering timely intervention and optimized resource allocation. Farmers and agronomists lack real-time, comprehensive insights into crop health and soil conditions, leading to suboptimal decision-making and potential yield losses.
Solution
Cropler offers an AI-powered digital agronomy assistant that provides plant-driven crop management through real-time monitoring and analysis of crop health and growth. The system utilizes portable agri-cameras and soil sensors to capture multispectral imagery and environmental data, transmitting it to a web platform for comprehensive analysis. AI algorithms generate smart alerts and recommendations, enabling optimized fertilization, timely disease detection, and efficient field work planning. The platform also facilitates paperless record-keeping, crop rotation planning, and team collaboration, empowering users to make data-driven decisions and improve overall agricultural productivity.
Target Audience
Cropler serves agronomists, farmers, agroholdings, and fertilizer distributors seeking to optimize crop management, reduce scouting costs, improve yields, and make data-driven decisions.
Features
- Portable agri-cameras with in-built multispectral sensors for real-time plant health monitoring
- Wireless soil sensors providing data on soil moisture, temperature, and salinity
- 24/7 remote access to a web platform with RGB & NDVI time series photo data
- AI-powered field scoring for data-driven agricultural decisions
- Automated BBCH-scale monitoring for tracking crop development stages
- Real-time local weather data, including air temperature, humidity, and dewfall duration
- Crop comparison tool for evaluating crop health across multiple fields and seasons
- REST API for integrating sensor data into existing farm management platforms