R&D Capabilities
Driving Innovation in Plant Phenotyping
At Phenotyping System, research and development is the foundation of everything we build.
Our R&D capabilities integrate engineering excellence with plant science expertise to deliver reliable, scalable, and data-driven phenotyping solutions for modern agricultural research.
200+ R&D engineers
20+ yrs experience
Multi-modal imaging
high-throughput platforms
Multidisciplinary R&D Team
By combining deep scientific understanding with strong engineering execution, our team is able to translate complex research needs into robust, user-friendly systems.
Optical engineering, Software development and data science, Mechanical and automation design, Plant science and crop physiology
Our R&D team consists of 200+ engineers and scientists, covering a wide range of disciplines essential to advanced plant phenotyping:
Global R&D Centers and Facilities
Our core R&D operations are headquartered in Singapore, supported by integrated facilities that enable full-cycle development and validation:
This integrated infrastructure allows us to validate our systems from laboratory development to greenhouse trials and field deployment.
By combining deep scientific understanding with strong engineering execution, our team is able to translate complex research needs into robust, user-friendly systems.
Software and Data Analytics Platform
Our systems are powered by in-house developed software, enabling seamless integration between data acquisition and analysis:
Advanced image processing algorithms
Phenotypic data analysis and modeling tools
Intuitive visualization and comparison interfaces
Automated reporting and data export functions
The software architecture ensures high data consistency, repeatability, and ease of use for researchers across different disciplines.
R&D Philosophy
Our R&D philosophy is guided by a clear principle:
Science-driven innovation, empowering intelligent research.
These standardized validation processes ensure that our systems deliver precise and reproducible results across experiments and locations.
Data-accurate and reproducible
Scientifically validated
Practical, stable, and user-friendly
By aligning engineering innovation with real research workflows, we help researchers accelerate discovery and improve experimental efficiency.