Training

In the spirit of shared knowledge and collaboration, consistent with open-source principles, we offer general or specific training courses to help you use the technologies of your choice for measuring, predicting or growing plants. 

Open technologies progress quickly and it can be difficult to know where to start. Our goal is to support you, to pave the way to your independence and success. At Phymea, we are all makers, passionate and driven by the desire to help our colleagues and all the professionals in the plant production industry who work tirelessly to provide food for today and ... above all for tomorrow. 

Each person, each team has specific skills, knowledge, practices and needs. This is why we adapt to provide you with personalised training. To get you started, we provide all the basics you need so that you can in turn create... and then share! 

In short, we get you on track.

In a practical way, we implement the technologies of your choice on a practical example. The objective is to enable you to take control of technology in a context that speaks to you, and that responds to one of your work or research issues. 

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Need a helping hand ?
 

General training : 

- Introduction to the use of Raspberry P

[Python language/ Linux environment]

- Introduction to the use of ARDUINO microcontroller

[C language]

Introduction to Machine and Deep Learning techniques for image analysis

[Python language, TensorFlow environment]

- Introduction to the development, use, calibration and validation of crop models for prediction in an agronomic context

[Python and R]

Examples of specific training courses : 

- Growth chambers monitoring with Arduino and Raspberry Pi

[Python and C language / Linux and Arduino environment]

- Development and implementation of a network of sensors in the field or in the greenhouse with Raspberry Pi and Arduino

[Python and C language / Linux and Arduino environment]

- Use of a Raspberry Pi and a crop model for field irrigation management

[Python language  / Linux environment]