Plant phenotyping - a more data driven approach from lab to field

Registering observable features of plants, plant phenotyping, forms an essential part of (genetic) plant breeding, fertiliser development, pesticide development, A good and objective phenotyping pipeline can serve as a direct driver for further research. ML6 has developed such a standardised phenotyping pipeline for objective scoring of plants for the development of novel pesticides. Albeit, it is important to understand how these products work in the lab, putting it to use in the real world is equally important. Hence the data collection tooling for the pipeline was developed in an app for mobile devices. This enabled data collection from the first lab experiment until on the field. The information returned is therefore not only interesting for feedback on specific products, but can also be used as a benchmark for the used product discovery pipeline. By highly automating the computer vision observation pipeline to score the health of plants as well as the broader consistent application of the tool in the lab up to the field, the product development line has become more data driven, which in turn shortens the time to market as well as improving the usability of the products.