Cromai launches app to optimize weed monitoring in Brazil

Brazilian startup Cromai has launched an exclusive application that enables precise weed location through its main technology: Scan Weed Cana. The solution focuses on detecting, geolocating, classifying, and identifying weeds through artificial intelligence, aiming for localized management.

The innovation was presented during the 10th ConBAP (Brazilian Congress of Precision and Digital Agriculture). With this new application, Cromai states, "direct user navigation to infestation points in the field" is possible.

With an analysis database of tens of millions of images, the startup claims it can automatically detect and classify up to six different layers of invasive plants. Targets include climbing plants, castor beans, low-growing grasses, tall grasses, other broadleaf plants, and creating a group of undefined weeds, with drone images of plots being processed by the Atlas platform.

"With this, users have the precision to know where infestation points are, what the occurrence levels of each category are, and can make more assertive and economical decisions in management operations," explains Henrique Del Papa, COO of Cromai.

Among the benefits of integrating the app into operations, Del Papa states, is ease of navigation. This is because the tool works with offline GPS, quick and efficient location of infestation spots, and can be used as a digital organizer for field information. Additionally, the Atlas platform launches the Activity Calendar, a "totally interactive and intuitive tool, allowing efficient and complete management planning. It's possible to schedule all mapping and application activities directly in your operational calendar and monitor the progress of field applications, all fully integrated in a single environment," states the manufacturer.

About Cromai

With the main technology developed by Cromai - Scan Weed, producers can perform precise and localized pesticide spraying, providing an average reduction of 56% in herbicide use and 95% water savings.

Cromai's diagnostics and intelligence also allow for increased productivity and sustainability in crops through more effective control of invasive plants, reduced tractor time in the field, and consequent reduction in fuel consumption and carbon dioxide emissions.

Furthermore, the startup offers other AI solutions such as detecting vegetable impurities in sugarcane loads, called Cromai Sentinel, and Cromai Scan Growline, which detects planting failures in sugarcane cultivation using drone images and an algorithm that identifies and classifies gaps above 50 cm.

(Editing by Leonardo Gottems, reporter for AgroPages)