HEMAV: Changing the Dynamics of Aerial Imagery in Brazilian Agriculture

HEMAV: Changing the Dynamics of Aerial Imagery in Brazilian Agriculture

In past articles I took the opportunity to introduce new companies that have entered the Brazilian agricultural market. These companies often bring a technology advantage to the sector, resulting in an increase in productivity for our farmers. For example, two years ago I wrote about how DroneDeploy has changed the way Brazilian farmers visualize their fields. The aerial imagery captured through the DroneDeploy platform allows users to evaluate fields and understand their conditions. My job as a consultant is to help access that information and display easy solutions to improve crop visualization.

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I recently met with another company that may change the dynamics of aerial imaging in Brazil: HEMAV. I was fortunate to have the opportunity to participate in the startup’s technical round in our country.

A fusion of satellite and drones is based on the generation of a hybrid image via HEMAV’s patented technology.

Headquartered in Madrid, Spain and located in the European Space Agency, HEMAV uses data analysis technology through artificial intelligence combined with drone and satellite imagery. The fusion of satellite and drones is based on the generation of a hybrid image via patented technology that allows the complete monitoring of the transmitted fields every five days with the same precision of a drone and super resolution of a satellite (Pleiades).

HEMAV already has 35 distributors around the world and more than 100,000 hectares of maps. In Brazil, they started working in my state Mato Grosso, focusing on soybean, corn, sugarcane, and cotton crops. The company hopes to estimate the quality of the cotton fiber, which will bring obvious benefits to the cotton industry. At the moment they are only collecting data.

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What most caught my attention in the soybean crop was how the use of artificial intelligence, along with images of drones combined with satellites, measured the consumption of nutrients in the crop. This helped detect crop anomalies and even the protein content of the soybeans, enabling the farmer to add value to his product in the future.

The technology helps users estimate a crop’s productivity, which ultimately would assist the farmer at harvest time. Two large farming operation in my region are participating in tests by HEMAV and I will share the results soon.

To learn more about HEMAV visit hemav.com.

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