Digital transformation in agriculture has just gained a new ally. DigiFarmz, the agtech company that develops smart solutions for crop management by connecting science, technology, and field data, is launching its newest feature: Daz, the DigiFarmz virtual assistant.
More than just a search tool, Daz represents a shift in how farmers and consultants using DigiFarmz access technical information and make real-time decisions throughout the season.
The name Daz originated as a simplified version of DigiFarmz Assistant, but soon evolved into its own identity as the platform’s virtual assistant. The choice reflects a balance of human proximity, technological modernity, and universality.
Integrated into WhatsApp, the mobile app, and the web platform, Daz brings together in one channel the kind of information that previously required multiple sources: weather forecasts, market prices, application alerts, weed identification, and answers to agronomic questions. Requests can be made by text, voice, or image—with fast, practical, and reliable responses.
“During the season, every minute counts. Daz was designed to cut search time and deliver DigiFarmz intelligence in the rhythm and language of the farmer,” explains Alexandre Chequim, CEO of DigiFarmz.
The decision to make the assistant available through WhatsApp was intentional. It’s the primary communication tool used by farmers in Brazil and across Latin America.
“Whether it’s speaking with a consultant, coordinating with the farm team, or solving urgent issues, WhatsApp is already part of everyday farm life. By bringing Daz into that conversation, DigiFarmz strengthens its presence in the farmer’s daily routine, delivering agility, convenience, and real-time engagement. Plus, the ability to easily share insights with colleagues, family members, or other farm stakeholders expands the reach of the solution and reinforces the brand,” Chequim adds.
Daz combines automation, AI with DigiFarmz’s agronomic curation, and specialized APIs to deliver fast, contextualized answers. In practice, it provides personalized weather forecasts based on the farm’s geolocation, clarifies agronomic questions through text or voice aligned with crop planning, and allows weed identification from photos—offering an accuracy percentage for each analysis. It can also reply in audio for those who prefer listening over reading, send proactive application alerts directly on WhatsApp, the app, or the web, and instantly log field operations: with a simple “Yes” or “No,” the system automatically updates the scenario in DigiFarmz Cropper or DigiFarmz Linkage, keeping calculations aligned with the reality of the field.
According to DigiFarmz, Daz was not conceived merely as a query interface, but as the “human face” of its technology. “We combined artificial intelligence with our proprietary database, algorithms, and mathematical models developed through over 20 years of agronomic research. This allows us to transform the complexity of farming into accurate decisions tailored to each field’s reality,” the company explains.
This architecture is structured in two complementary layers: the first focused on personalization, taking into account the specific characteristics of each farm to deliver tailored recommendations, and the second on communication, with an intelligent agent capable of interacting naturally with farmers and agronomists, making access to information easier and encouraging technology adoption in day-to-day farm management.
“Our approach is different because we don’t see technology as an end in itself, but as a new logic for agricultural production—one centered on tangible results and farmer success,” emphasizes Chequim.
With Daz, DigiFarmz goes beyond being a platform for technical recommendations to establish itself as an active, indispensable presence in farm operations. By turning the search for information into a simple, fluid, and accessible conversation, the solution increases farmer engagement, strengthens brand relationships, and opens the door to new opportunities such as monetization of services and advanced analytics based on interaction history.
“Our purpose is to put data at the service of the field—in a practical, accessible way that is fully connected to the farmer’s daily life,” Chequim concludes.