Aurea Imaging provides precision orchard management solutions using drone technology, deep learning, and sensor data to monitor individual tree growth and health. This approach enhances crop uniformity and yield while minimizing resource inputs, addressing the variability and inefficiencies commonly found in traditional fruit farming.
Funding
$3M 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
Orchards often exhibit significant variability in tree growth, health, and yield, leading to inefficient resource allocation and inconsistent crop quality. Traditional orchard management practices lack the precision needed to address these variations at the individual tree level.
Solution
Aurea Imaging provides precision orchard management solutions by leveraging drone-based imagery, sensor data, and deep learning to monitor individual tree characteristics. Their technology enables growers to optimize resource application, improve crop uniformity, and enhance overall orchard efficiency. By analyzing data on tree growth, flowering, and health, Aurea Imaging generates prescription maps that integrate with most major brands of sprayer and spreader equipment, allowing for variable rate applications tailored to the specific needs of each tree. This approach minimizes input costs, maximizes yields, and promotes sustainable orchard management.
Target Audience
Aurea Imaging serves fruit growers and breeders in the EU, North America, New Zealand, and South Africa, as well as crop consultants and equipment manufacturers.
Features
- Drone-based data acquisition for high-resolution imagery of orchards
- Advanced deep learning algorithms for analyzing tree growth, flowering, and health
- Generation of prescription maps for variable rate applications of fertilizers, growth regulators, and other inputs
- Integration with major brands of sprayer and spreader equipment
- Plant-level data collection for accurate and consistent crop characteristics throughout the breeding cycle
- Monitoring of vegetation development, canopy height, and plant health
- Detection of specific plant traits such as flower count, area and size
- Cloud-based platform for data storage, analysis, and reporting