Nursy provides an AI-powered operating system for ornamental nurseries, automating irrigation and fertilization while detecting plant stress through drone and sensor data. The platform integrates with existing nursery infrastructure to deliver data-driven decisions, reducing water usage and production losses. Nursy's modular system combines smart irrigation, precision fertilization, and early stress diagnosis to improve crop quality and operational efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Ornamental nurseries face unpredictable weather extremes, forcing growers to rely on experience-based irrigation and fertilization schedules that often lead to water waste, over-fertilization, and undetected plant stress. Visual monitoring of crops is time-consuming and frequently misses early signs of biotic or abiotic stress, resulting in significant production losses and reduced crop quality.
Solution
Nursy provides an AI-powered operating system for nursery management that automates irrigation and fertilization while continuously monitoring plant health. The platform combines evapotranspiration data (ET₀), dynamic crop coefficients (Kc), and dielectric soil sensors to calculate precisely when and how much to irrigate, while also analyzing fertilizer release to estimate real-time nutrient availability in the growing medium. For stress detection, Nursy collects RGB, thermal, multispectral, and LiDAR data via drones to identify water stress, nutritional stress, and disease stress at early stages. The system integrates with existing control units, valves, and weather stations, allowing nursery owners to manage daily operations from a single app with offline or remote control capabilities.
Target Audience
Primary customers are ornamental nursery owners and operators, particularly those in regions facing water shortages and challenging weather conditions, as well as agricultural associations and large-scale commercial nurseries seeking to modernize their operations.
Features
- Smart irrigation module that automatically calculates irrigation timing and volume by combining ET₀, dynamic Kc values, and dielectric sensor data
- Precision fertilization module that analyzes fertilizer release and estimates real-time nutrient availability in the growing medium
- Early stress diagnosis using RGB, thermal, multispectral, and LiDAR data collection to detect biotic and abiotic stress before visible symptoms appear
- Integration with pre-existing nursery infrastructure including control units, valves, and weather stations
- All-in-one app for daily operations management with offline and remote control capabilities
- Weather forecast integration to adjust irrigation schedules based on predicted conditions