PheNode is an energy efficient, ‘smart’, field-deployable, environmental sensing and crop monitoring station. 

Modular / Customizable / Cloud-Connected / Weather-Resistant 

PheNode is a tool for researchers, farmers and horticulturists that can monitor environmental conditions and transmits the data to the cloud where growers can track their plants in real-time in order to facilitate data-driven decision support.


The PheNode’s sensor suite can be tailor-made to accommodate the many needs of researchers and growers.

Connects to the cloud via:

Temperature / Relative humidity / 

Light quality or PAR (Optional), Light quantity (Lux)/ Barometric pressure


Wind direction


RGB / NIR imaging (Standard)

NDVI/PRI (Optional)

Multispectral (Optional)

Additional space for prototyping

Add LiPo battery capacity

Electrical conductivity (EC)

Soil moisture (VWC)

Soil temperature


Water potential (Optional)

Temperature / Relative humidity /

Light quantity (Lux) / Barometric pressure

Temperature / Relative humidity /

Light quantity (Lux) / Barometric pressure

  • Remote management and updates

  • Accepts SDI-12, I2C analog sensor protocols and more


The modular aspect of the PheNode allows for a quick change in configuration and size in order to accommodate various crops.

2 Modules for Strawberries
3 Modules for Grain Sorghum
4 Modules for Maize

Data captured by the PheNode is transmitted to the cloud, where it can be accessed in real time.

1. Data is gathered from the field.

2. Data is transmitted to the cloud.

3. Data is visualized in real time.

4. Data provides decision support to better manage inputs.

1. Data is gathered from plot-specific PheNodes in the field.

2. Raw data can be downloaded for analysis.

3. Data-driven breeding decisions can now be made.


Data captured by the PheNode is transmitted to the cloud allowing users to monitor environmental conditions in real time on a mobile, or desktop device.

Environmental Data

Imaging Data

Wireless Sensor Data



Mesh grid networks of low power sensors with LoRa WAN connectivity can send their individually collected data streams to a nearby PheNode. The PheNode can then transmit the data to the cloud.

This allows the PheNode to remain on the sidelines while farming operations remain unencumbered.


Agrela is:

Nadia Shakoor, PhD


Crop phenotyping expert

Danforth Center Senior Scientist

Ag biotech and seed industry experience

Todd Mockler, PhD 


Phenomics & plant systems biology leader

Danforth Center PI


William Kezele




Darren O’Brien

Project Manager / Sales

Hardware Research and Design

Product Testing


Whether you're a researcher, grower or investor who would like to help us reach our development goals, we'd love to hear from you!

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