Hiphen offers an AI-powered image analytics platform for high-throughput plant phenotyping, automating the precise measurement of plant traits. Their solution enables agricultural researchers to collect and analyze phenotypic data efficiently, accelerating crop management optimization and new product development.
Funding
Funding not disclosed
Founders
Product
Problem
Agricultural research and development requires precise measurement of plant characteristics to optimize crop management and product development. Traditional methods for plant assessment are often labor-intensive, subjective, and lack the necessary precision for detailed analysis. This hinders the ability to make data-driven decisions for improving crop yields and developing new agricultural technologies.
Solution
Hiphen provides an AI-powered image analytics platform for high-throughput plant phenotyping. Their solution automates the detection, classification, and quantification of plant traits across all phenological stages, delivering actionable data to researchers. By leveraging advanced imaging sensors and proprietary algorithms, Hiphen enables more accurate and efficient plant assessments compared to manual methods. This allows for better optimization of crop management strategies and accelerates the development of new agricultural products. The platform integrates with their data management system, Cloverfield, to centralize and analyze phenotypic data, facilitating deeper insights into plant physiology and performance.
Target Audience
The primary customers are plant breeders, crop scientists, agricultural product developers, and contract research organizations (CROs) involved in agricultural research and development.
Features
- **Literal® System:** A handheld, high-resolution imaging device for automated plant trait assessment in field conditions.
- **AI-Powered Trait Analysis:** Utilizes machine learning algorithms for precise detection, classification, and quantification of plant characteristics.
- **Multi-Scale Data Acquisition:** Capable of processing data from various sources including satellites, drones, autonomous robots, and handheld devices.
- **Cloverfield™ Data Platform:** A centralized system for managing, analyzing, and visualizing phenotypic data, supporting time-series analysis and GxE interactions.
- **Reduced Error Rates:** Achieves a 50% reduction in assessment errors compared to manual methods for traits like wheat head density.
- **Increased Trait Heritability:** Contributes to a 10% increase in trait heritability, improving the effectiveness of breeding selection.
- **Efficient Data Collection:** Enables a single operator to collect data on hundreds of plots daily, significantly reducing labor requirements.
- **Data Interoperability:** Offers APIs for seamless integration with other research tools and systems.