This startup develops AI-based crop monitoring technology that utilizes computer vision and advanced analytics to provide real-time assessments of crop health, damage detection, and yield predictions. By enabling farmers to optimize operations and minimize chemical usage, the technology enhances decision-making for plant protection and resource management.
Funding
$440K 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 face challenges in accurately monitoring crop health, detecting damage, and predicting yields, leading to suboptimal resource allocation and increased chemical usage. Traditional methods often involve manual inspection, which is time-consuming, labor-intensive, and prone to human error. This can result in delayed interventions, reduced yields, and increased operational costs.
Solution
EdenCore provides an AI-powered crop monitoring solution that leverages computer vision and advanced analytics to deliver real-time insights into crop health, damage detection, and yield prediction. The core of the solution is Viewer, a system that mounts on farm machinery and scans crops using high-resolution imaging and active LED lighting for 24/7 operation. The system uses GPS and internet connectivity to upload data to a web dashboard, providing farmers and agronomists with access to yield and stress maps, as well as operation analytics. By enabling farmers to make data-driven decisions, EdenCore optimizes spraying applications, reduces chemical input costs, and improves overall crop management.
Target Audience
EdenCore's primary customers are farmers and agronomists, particularly those cultivating specialty crops such as tree fruits, berries, and tropical varieties, who seek to optimize crop yields, reduce chemical usage, and improve resource management through AI-driven insights.
Features
- High-resolution imaging for detailed crop scouting and anomaly detection
- Real-time AI predictions for immediate insights into crop health and yield potential
- Active LED lighting for 24/7 operation, regardless of sunlight conditions
- GPS and 4G connectivity for accurate geolocation and instant data transmission to the web dashboard
- ISO11783-compliant communication for seamless integration with modern farm machinery
- Web dashboard for monitoring crop health, yield potential, and operation analytics
- Variable rate application (VRA) spraying capabilities for precise chemical application
- Access to Eden Library, a repository of datasets, notebooks, and wikis for AI in agrifood