LK-1810  High-Throughput Mobile Measurement System for Plant root phenotypes

LK-1810  High-Throughput Mobile Measurement System for Plant root phenotypes

LK-1810 Plant Root Phenotyping High-Throughput Mobile Measurement System is a system developed for the visualisation and dynamic monitoring of root growth in response to the needs of crop root growth characteristics and root phenotyping image acquisition. The root phenology system has high space utilisation, and is based on the CIS scanner designed for root phenology image acquisition of special sensors, which can realise distortion-free, high-resolution and high-quality acquisition of crop root phenology images, and at the same time, it can be equipped with optional all-around intelligent and autonomous mobile robot equipped with AI vision robot arm to carry out fully-automatic and high-frequency acquisition of the plant root system.

Widely used in wheat, rice, corn, soybean, cotton and oilseed rape crops, it can measure the number of root strips, maximum root length, total length, root pinch angle, surface area, root distribution range, volume, root biomass and so on.

Parameters

Technical Specifications

Main Configuration

• imaging unit type: CIS root image scanner
• software: image data storage, automatic processing of root image phenotyping data on web based on deep learning algorithm, data analysis and storage
• Number of flat root boxes: 45 in a single set

Main performance parameters

• Flux: 10s/pc
• Working temperature: -10℃~60℃;
• Data format: jpg and other image formats;
• Resolution (optional): 600 DPI
• Monitorable species: wheat, rice, maize, soybean, cotton and oilseed rape crops;
• Measurable parameters: number of root strips, maximum root length, total length, root pinch angle, surface area, root distribution range, volume, root biomass, etc.
• Optional: RGB, multi-spectral camera, to achieve synchronous high-throughput measurement of above-ground plants and root system

 

Application examples

• The equipment was used to monitor root phenotypes of large-scale wheat populations throughout the whole life cycle and to investigate the dynamic response of root phenotypes to abiotic stresses such as drought and waterlogging over the whole life cycle.