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You are here: Home1 → Data Management

Data Management: Mastering the Flow of Information in Plant Phenotyping

WIWAM’s data management system, PIPPA, is the cornerstone of our technological infrastructure. This central web interface and database provides comprehensive tools for managing different types of WIWAM plant phenotyping platforms and analyzing images and data. PIPPA efficiently handles a wide range of data types, from simple growth measurements to complex spectral data, ensuring all information is captured accurately and processed effectively. Furthermore, the data management system is based on open standards and interoperability, eliminating the risk of vendor lock-in.

User-Centric Design and Advanced Analytics

At the heart of PIPPA are advanced analytics and a user-friendly interface. Researchers can easily navigate through their data, with intuitive tools for deep analysis and visualization. The system supports various chart types, along with zoom and export-to-file features. Whether analyzing growth trends over time or assessing environmental impacts on plant health, PIPPA transforms raw data into actionable insights.

Integration and Interoperability

PIPPA is designed for seamless integration with WIWAM phenotyping platforms and other software. It communicates directly with the platforms, transferring experiment data and retrieving measurements, environmental data, and images. This interoperability is crucial for collaborative research projects and institutions using various analytical tools. The system’s open architecture allows it to function alongside other systems without compromising data security or integrity.

Comprehensive Experiment Management

PIPPA provides end-to-end experiment management. Researchers can create experiments in the web interface, defining treatment and genotype information for each pot to ensure data integrity. During experiments, PIPPA retrieves weighing and irrigation measurements, environment data, error logs, and images from the platform. It supports post-processing of images and can initiate image analysis scripts, with results that can be validated within the interface.

Empowering Researchers with Data-Driven Decisions

Our commitment to excellence in data management reflects WIWAM’s mission to empower researchers and advance plant science. By providing a comprehensive solution that simplifies complex data analysis and facilitates easier access to information, WIWAM enables researchers to focus more on discovery and less on data handling. This leads to more efficient research processes, more accurate results, and ultimately, more successful outcomes in plant phenotyping endeavors.

Streamlining workflows, unlocking plant insights.

Contact us today for a demonstration of PIPPA’s capabilities.

Contact us!
 
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Case study: Agro Incubator

AgroIncubator gripping plants


CASE STUDY

Agro Incubator

The purpose of the machine is to acquire information from a field of plants (which are individually located in a pot) that are stored in containers. The pots are uniquely identified with RFID cards.

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Case study: Plant to sensor table



CASE STUDY

Plant to sensor table

The primary purpose of the machine is to conduct detailed plant research in a field of various plants. This allows researchers to study the growth, health, and responses of the plants under different conditions and treatments.

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Case study: 3D scanning cart



CASE STUDY

3D scanning cart

The purpose of the machine is to perform regular 3D cloud scans of plants in a greenhouse. These scans are conducted using two dual scan F600 scanners that are arranged in a fixed setup.

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Case study: Rhizotron “Rootshoot”



CASE STUDY

Rhizotron “Rootshoot”

The primary purpose of the machine is to fill rootshoot sheets with soil, ensuring a consistent thickness of 4 mm. These rootshoot sheets play a crucial role in the rootshoot phenotyper, which is designed to analyze and gather vital information from a field of plants.

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Case study: NPEC Greenhouse



CASE STUDY

NPEC Greenhouse

The purpose of the machine is to gather information from a field of plants stored in two buffer zones. Each of these plants is kept in plant holders (also referred to as carriers) and is uniquely identified.

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News & Insights

WIWAM Phenotyping systems at the NPEC facilities in Wageningen (NL)

News
Two gantries are fitted into two of the NPEC greenhouse compartments and in the other two conveyor systems are installed with measurement area containing the imaging cabinets. The WIWAM framework ensures smooth integration of a whole set of sensors…
21 May 2021
https://www.wiwam.com/wp-content/uploads/2024/07/Wiwam-Placeholder.jpg 533 800 ludo https://www.wiwam.com/wp-content/uploads/2024/07/Wiwam-Logo.jpg ludo2021-05-21 22:29:002024-07-09 15:16:38WIWAM Phenotyping systems at the NPEC facilities in Wageningen (NL)

Scientific publication in Nature Biotech including WIWAM xy

News
Although drought tolerance is a central concern of plant research, the translatability for crop improvement is relatively low. Here we report on a major contributing factor to this lack of success. Drought tolerance is predominately scored based on an…
17 October 2016
https://www.wiwam.com/wp-content/uploads/2024/07/Wiwam-Placeholder.jpg 533 800 ludo https://www.wiwam.com/wp-content/uploads/2024/07/Wiwam-Logo.jpg ludo2016-10-17 14:05:392024-07-09 15:16:38Scientific publication in Nature Biotech including WIWAM xy

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