Our customers mutualize
their experience and resources
to manage their data and processes
Manage your agronomy testing experiment, and find the best agronomical methods for your trials. RnDExperience allows the users to track the entire chain of agronomy process and test diversified agricultural practice, locations and environment for trials, phytosanitary products applications. Thanks to its powerful database, RnDExp® allows users to compile data at each step of the trials process and find the best practices to obtain the best results on the field.
Based on header recognition, researchers can import easily their list of phytosanitary products in RnDExp® database. Each product is associated with a quantity and RnDExp provides a real-time view of the available quantities to manage experiments.
It is possible to define precisely cultural methods and environment covariables. Depending of the agronomy needs, researchers can, for example, store their irrigation methods, sowing methods or type soil, hydrology weather conditions. Allowing them to manage all the parameters of their agronomic trials and query the system to obtain cute analysis.
Researchers can manage their agronomic trials, and schedule each stage of their processes. RnDExp helps them to plan and drive their testing steps, from the set up to the collect of results.
Researchers have access to a library of pre-configured designs such as Completed Blocks, Lattice, Square Alpha-plans, Split-plots, split-split-plots, Invertible Blocks. Also, many kind of un-replicated experimental designs are available.
Researchers can print many types of documents: Labels (example for sowing), field-maps, forms, handbooks containing traits and observations to score per stage, etc.
Yes, the dynamic multi-windows trial network tool helps you to manage your trials in single or multiple locations (different fields, stations, countries). Helping testers to create and configured quickly large trial networks.
Yes, it is possible to manage different teams from different locations, based on rules of access rights, allowing for example managers to dispatch tasks, have an overview of the work advancement in real time, make some to-do lists, etc.
It is possible to connect multiple devices with the software, for example: Weather station, tablets, bar code readers, NIRS, weight scales, GPS, UAV, etc. Also, you can automate data entry and we have a specific module allowing users to plan tasks that need calculation resources to be launched at period with low users ‘activities (Ex: at the night).
Testers can export notebook or Excel files containing the traits and observations to score. Then they can import back data manually or import Excel files with header recognition. The second way to export/import data is using RnDExp Mobile Enterprise, with this edition of the offline application Mobile, testers can also synchronize their device with a centralized database. Then the automatic import and export of notebook data and notation forms can be handled by the administrator of the Enterprise Server. Testers just synchronize their data with the Software and can export/import easily their data with no middleman files.
Users can have a view of all experiences set up on a location and have a view of the data collection advancement in real time on the field.
Testers can manage specific route for their field processes (sowing, data collection, harvesting, …) to guide and help them to save their time by organizing their itineraries. On the Mobile offline application, many options are also available, to set the path and directions, set up route limits, go to the next empty plot, handle single or multi-plot combines, etc.
After creating the set-up of your trials, sometimes hazards make breeders change the original set-up. RnDExp allows users to make these changes easily and adapt their set-up for a better adjustment to the reality of the breeding conditions.
RnDExp allow the breeders to print field maps of single trial or networks of trials, displaying information such as the route number, the plot number, the name of the blocs, the name of varieties per plot, as well as user defined information, depending on the preference of the final user.
Yes, RnDExp manages estimation of missing values for the analysis of incomplete data, based, for example, on Yates formula.
After downloading and executing the file contact Doriane for login and password.
After downloading and executing the file please send login and password to Doriane.
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