Adroit Robotics develops LeafSense, a system that utilizes artificial intelligence and smart sensors for continuous monitoring of orchards, providing real-time data on yield and plant health. This technology enables precise application of agrochemicals, optimizes harvest timing, and enhances decision-making for agronomists, ultimately reducing costs and environmental impact.
Funding
$420K 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
Orchard management relies on manual inspections and subjective assessments, leading to inefficiencies in resource allocation and delayed detection of plant health issues. Traditional methods lack the granularity and real-time insights needed to optimize agrochemical application, harvest timing, and overall yield.
Solution
Adroit Robotics' LeafSense system provides continuous, automated monitoring of orchards using AI and smart sensors. The technology captures high-resolution imagery and blends it with climate, soil, and farm management data to deliver detailed insights into plant health and yield. By analyzing every tree, LeafSense enables precise application of agrochemicals, optimizes harvest timing, and facilitates data-driven decision-making for agronomists. The system's advanced diagnostics algorithms and forecasting models allow for early detection of anomalies and deficiencies, reducing losses and minimizing environmental impact.
Target Audience
The primary target audience includes agronomists and orchard managers seeking to optimize yields, reduce costs, and minimize environmental impact through precision agriculture techniques.
Features
- Continuous orchard monitoring using smart sensors and AI-powered analytics
- High-resolution imagery analysis for detailed assessment of tree health and fruit development
- Anomaly and deficiency detection before they become visible to the human eye
- Maturation curve tracking and average fruit size estimation
- Canopy volume measurement and absent tree detection
- Integration with climate, soil, and farm management data for comprehensive insights
- Heatmaps and overlapping indicators for easy identification of orchard imbalances
- Temporal evolution tracking and comparison between planting parcels, dates, and farms
- Compatibility with commercially available agricultural machinery