PhenoWatch-High-throughput Plant Phenotyping System
3D Imaging and Analysis
Capable of generating three-dimensional images with multi-spectral information.
Performs plant identification and separation of stems and leaves for individual planting groups.
Accurately acquires plant phenotypic parameters such as height, width, leaf length, width, inclination, and leaf area.
Calculates and analyzes spectral characteristics and vegetation indices.
Conducts research on crop temperature and drought, crop condition analysis, category identification, pest and disease monitoring, water and fertilizer status monitoring, and biochemical parameter detection.
Hardware Components
Includes a 3D central imaging unit and a mobile platform for greenhouses or fields.
The 3D central imaging unit contains a point cloud module, multispectral module, color unit, and infrared thermal imaging module.
Customizable mounting platforms, including cranes, gantry systems, or customized designs based on existing greenhouses or cultivation racks.
Software System
Utilizes advanced neural networks and deep learning algorithms.
Integrates collected 3D point cloud data of crops with multi-spectral and RGB image information.
Achieves three-dimensional modeling and data extraction, automatically segmenting individual plants and stems and leaves.
Offers parallel processing and GPU acceleration capabilities.
101, Thomson Road #28-03A United Square Singapore 307591
Sir Winston Churchilllaan 299a, 2288 DC, Rijswijk, The Netherlands
Hammerbrookstrasse 93,20097 Hamburg
8th Floor, Building 2, East China Normal University Science and Technology Park, 1038 Jinshajiang Road, Shanghai
Copyright ©2024 Zealquest Asia