Adama launches application to control weeds in sugarcane

Adama has just launched in Brazil an application to help sugarcane producers with decision-making for weed control. Based on the information entered by the user, noting the condition of each field, the tool generates recommendations for herbicides to address the problems identified.

The goal of “Adama Cana” is to alert the farmer of the best product and dosage for each treatment, as well as to optimize resources and save details of the history of products applied across the region. In effectively combating the problems of planting, the producer increases crop health, avoiding waste that raises the cost, and consequently, increases profitability.

"Digital technologies are major partners of agriculture. We have invested in solutions that bring convenience to the producer, such as Adama Cana and other digital services. We know the difficulty with weed management and resistance faced by sugarcane producers. In more complex situations, the application intends to reduce the period of product applications and eliminate them entirely, reducing damage to production,” affirmed Roberson Marczak, innovation manager at Adama Brasil.

Adama Cana relies on a unique database from the sector, which allows the producer to select variations that could change the recommendation, such as the type of cane, soil, application time, and infesting plants. Based on this information, the application suggests the most adequate treatment available in the market, which could be from Adama’s portfolio or from that of other companies. The system also stores the data for future consultations and asks for the evaluation of recommendations supplied for the continuous enhancement of the tool. The tool will be available on tablets and offered to partnering customers of the brand.

To achieve good results, Adama experts consulted several mills and understood their individual needs, seeking to gather all the information into a single tool. “Each customer should have a more personalized experience because their needs vary, and those are exactly the variables that determine the best decisions. Achieving the cross-referencing of data and gathering the most accurate information was a challenge, but we achieved it; our goal is always to offer the best, easing the work in the field,” remarked Marczak.