WIWAM – SMO BV products

WIWAM offers a comprehensive data management solution called PIPPA, designed for advanced plant phenotyping applications. PIPPA excels in handling the flow of information, providing user-centric design and advanced analytics to facilitate researchers' exploration and analysis of plant data. The system features a range of chart types for data visualization, as well as zoom and export options, making it suitable for analyzing growth trends and environmental impacts. PIPPA integrates seamlessly with WIWAM phenotyping platforms and other software, allowing direct communication and efficient data exchange. Its open architecture ensures compatibility with various systems while maintaining data security. The end-to-end experiment management capability allows researchers to create experiments, define treatment parameters, and collect detailed data, including images for post-processing. PIPPA empowers researchers to make data-driven decisions, enabling more efficient research, accurate results, and successful plant phenotyping outcomes.

WIWAM specializes in providing custom phenotyping systems that are designed to meet the varied needs of plant research projects. By utilizing versatile and modular technology platforms, WIWAM designs solutions that focus on genetic research, environmental stress analysis, and disease resistance, delivering crucial data for scientific exploration. Their approach promotes partnerships and collaboration with researchers, enabling the advancement of plant biology understanding globally. From enhancing specific components of current systems to creating comprehensive installations from scratch, WIWAM's solutions are highly adaptable and can cater to specific research demands. This focus on customization and precision design positions WIWAM as a prominent leader in the field of plant phenotyping technology, providing tools that drive innovation in plant science.

WIWAM xy is a robot for the high-throughput and reproducible phenotyping of seedlings and small plants, like Arabidopsis. The robot allows for the automated irrigation and measurement of a variety of plant growth parameters at regular time intervals. WIWAM xy replaces a lot of manual handling, saving time and costs, and does this with high precision.

WIWAM Line is a robot for the high-throughput and reproducible phenotyping of small caulescent plants, such as small maize plants. The robot allows for the automated irrigation and the measurement of a variety of plant growth parameters at regular time intervals. WIWAM line replaces a lot of manual handling, saving time and costs, and does this with high precision.

WIWAM conveyor is an integrated robotic solution for the high-throughput and reproducible phenotyping  of larger plants, like maize. The robot allows for the automated irrigation and the measurement of a variety of plant growth parameters at regular time intervals. WIWAM Conveyor replaces a lot of manual handling, saving time and costs, and does this with high precision.

Each of the WIWAM plant phenotyping platforms can be extended and adapted to meet your specific research question or to optimally fit your available space. Several image acquisition systems can be implemented and specific pot sizes can be accommodated. Also entirely custom made systems can be designed.

Standard digital color imaging can be applied to extract visible traits. Over time, RGB images can capture a large range of parameters linked to plant growth and development. Furthermore, they can provide measurements of plant morphology and architecture and contain color information. In general, industrial high performance cameras with a Gbit Ethernet connection, to allow high speed data transfer, and a very good color separation are installed. These cameras contain high-quality CCD sensors, providing high resolution, sensitivity, and dynamic range.

Thermal imaging allows extracting information from the long-wavelength infrared (LWIR) range of the electromagnetic spectrum . All objects emit infrared radiation related to their temperature. In plant research, infrared cameras are used to measure plant and leaf temperature in a non-destructive manner, which is indicative of plant water use behavior, including transpiration and leaf stomatal conductance. Water taken up by the roots is lost at level of the leaves by transpiration through stomata. Evaporation of this water results in cooling of the leaf surface. Upon drought stress response, plants close their stomata, resulting in an increased leaf temperature. High performance industrial infrared cameras can be implemented both in top view and side view configuration.

Typically, hyperspectral cameras operate in the visible, near-infrared (NIR) and the short-wavelength infrared part of the electromagnetic spectrum (SWIR). In these spectral regions they acquire three-dimensional datasets in which a spectral profile is available for each pixel in the image. Depending on the location in the spectrum different types of information can be extracted from plants, ranging from water content to cell structure and leaf pigments, such as chlorophyll and anthocyanins. Such information can be calculated based on a plethora of known spectral indices, but the analysis of complete spectral profiles is likely return even more.