Impacting Farming on a Global Scale

Manual harvest.  (photo: Simon Allen)

Manual harvest. (photo: Simon Allen)

When the Farmwave web app went live a few months ago, we were encouraged at the amount of response it got from locations around the world. We saw activity everywhere from India to Australia, from Brazil to Uzbekistan, from South Africa to France. Growers were trying out the communications platform and taking the smart tools for a spin.

As we continue to expand our database of diseases in crops like corn, soy and wheat, we have seen growers begin to adopt Farmwave as a tool to check on crop anomalies. These findings can then be privately shared with other growers in their region on the platform to warn them or draw on their expertise for treatment solutions.

Monitoring crops in Uganda.  (photo: Charles Nambasi)

Monitoring crops in Uganda. (photo: Charles Nambasi)

This week we are finishing our French translation of the app, making it easier for francophones to utilize the smart tools. More translations will follow.

Given the diverse range of agricultural styles across the globe, our image analysis development continues to be a benefit for farmers at every growing stage. With tools such as kernel counting they can quickly estimate yield potential.

Equipped with only a smart phone, farmers can scout their crops while offline, and upload the imagery for analysis once they are back in range.

Monitoring grain loss at harvest allows growers to take steps to minimize waste. Simplifying measurements reduces their economic loss.


In October, along with stops in California and France, Farmwave will be presenting our innovations in ground truthing to representatives at the United Nations Conference Centre & African Union as part of the 2019 Grand Challenges Annual Meeting in Addis Ababa, Ethiopia.

We are honored to be able to share the technology of Farmwave with a global audience as we look at non-traditional data collection for better analytics. We’ll also be participating in a joint session on crop production analytics at scale, discussing the training of data collection for pest and disease surveillance and epidemiology.

Steve Hyland