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I hired mentorship from a disease specialist. Why would I still need DigiFarmz?

The robustness of DigiFarmz’s database can be appreciated through:

  1. Updates whenever new inputs are registered by the governments of the countries where DigiFarmz operates;

  2. The efficacy of chemical inputs is adjusted based on field trials (either conducted directly or outsourced) in Brazil, Paraguay, and the United States;

  3. New cultivars are added to the database whenever they are officially registered;

  4. Varietal characteristics are updated whenever field data indicate the need;

  5. Data is completely unbiased (agnostic), recorded exactly as obtained in the field. Whenever discrepancies are observed, specific experiments are conducted (in as many locations as required by the variable), and the final validated data populates the DigiFarmz database;

  6. Discrepancies can be observed through reports from colleagues in the field or results obtained by DigiFarmz clients. It is important to highlight that we are dealing with biological factors, so extra care is taken in the algorithms when using field data.

DigiFarmz provides information to its users based on the interaction of multiple parameters: genetic, agronomic, physiological, microbial populations, economic, georeferenced, and geolocated factors, whose instant access would otherwise be impossible.

However, the collaboration between DigiFarmz and the client (producer or consultancy) is fundamental.

This is not about replacing one with the other, but about combining both to achieve the best outcome for the client. No matter how skilled an agronomist is, they cannot compute the historical data of an area, the dynamic interactions among factors, or the impact that one season’s results will have on subsequent crops. With access to this information, however, they can perform more precise and tailored work for each client.