Atlas provides an integrated platform that combines sensors, software, and scientific models to monitor plant responses to environmental conditions. The system offers growers, researchers, and educators real‑time data, predictive analytics, and plug‑and‑play sensor kits to optimize nutrition, flavor, and yield. By turning complex plant data into actionable insights, Atlas supports experiments, educational programs, and innovative agricultural projects.
Funding
Funding not disclosed
Founders
Product
Problem
Growers, researchers, and educators often rely on intuition or limited measurements to assess plant health, nutrition, flavor, and yield. This lack of precise, real‑time data makes it difficult to optimize growing conditions, conduct reproducible experiments, or teach plant science effectively.
Solution
Atlas offers an integrated platform that combines environmental sensors, software, and scientific models to capture plant responses continuously. Users install plug‑and‑play sensor kits that record variables such as temperature, humidity, light, and nutrient levels. The collected data are streamed to a cloud service where predictive analytics generate forecasts for nutrition, flavor, and yield outcomes. Results are presented through an interactive dashboard that highlights actionable insights and alerts users to conditions that may affect performance. By converting raw plant data into clear recommendations, the platform enables data‑driven decision‑making for commercial farms, research projects, and classroom experiments.
Target Audience
Primary customers include commercial vertical growers, hydroponic chefs, agricultural researchers, and K‑12 or university educators seeking quantitative plant monitoring tools.
Features
- Modular sensor kits with wireless connectivity for rapid deployment in vertical farms, greenhouses, or classroom setups
- Real‑time data acquisition of key environmental parameters and plant physiological metrics
- Cloud‑based predictive models that estimate nutrition content, flavor profile, and expected yield
- Interactive web dashboard with visualizations, trend analysis, and condition‑based alerts
- Exportable data formats and API access for integration with existing farm management or research systems
- Educational modules that illustrate data collection and analysis for curriculum use