# Data Collection ## Maricopa Agricultural Center, Arizona * The Lemnatec Scanalyzer Field Gantry System * Sensor missions * Scientific Motivation * What sensors, how often etc. * Tractor * UAV * Manually Collected Field Data ## Automated controlled-environment phenotyping, Missouri The Scanalyzer 3D platform consists of multiple digital imaging chambers connected to the Conviron growth house by a conveyor belt system, resulting in a continuous imaging loop. Plants are imaged from the top and/or multiple sides, followed by digital construction of images for analysis. * RGB imaging allows visualization and quantification of plant color and structural morphology, such as leaf area, stem diameter and plant height. * NIR imaging enables visualization of water distribution in plants in the near infrared spectrum of 900–1700 nm. * Fluorescent imaging uses red light excitation to visualize chlorophyll fluorescence between 680 – 900 nm. The system is equipped with a dark adaptation tunnel preceding the fluorescent imaging chamber, allowing the analysis of photosystem II efficiency. **Capturing images** This video overview will help explain the capture system:\ ![LemnaTec Video Screnshot](http://img.youtube.com/vi/QCgLuIqiC9E/0.jpg) The LemnaTec software suite is used to program and control the Scanalyzer platform, analyze the digital images and mine resulting data. Data and images are saved and stored on a secure server for further review or reanalysis. You can read more about the Danforth Plant Sciences Center Bellwether Foundation Phenotyping Facility on the [DDPSC website](https://www.danforthcenter.org/scientists-research/core-technologies/phenotyping). ## Kansas State University ## HudsonAlpha - Genomics --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.terraref.org/revisions/technical-documentation/data-collection.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.