Agronomist with tablet in field analyzing crop data
1344×768 · AVIF · CC BY 4.0

Agronomist uses tablet in the field for crop data analysis at twilight, optimizing productivity with technology.
About this subject
Precision agriculture has transformed the work of agronomists, who now collect and analyze real-time data using mobile devices. In the field, tablets equipped with farm management software allow monitoring of variables such as soil moisture, vegetation index (NDVI), and pests. This practice reduces input use by up to 30% and increases productivity, according to Embrapa. Twilight is a strategic period for assessments, as diffuse light facilitates sensor readings and identification of water stress in plants.
In Brazil, the world's largest exporter of soybeans, coffee, and sugar, digital technology adoption in agribusiness grows 20% annually. Startups like Agrosmart and Strider develop platforms that integrate satellite, climate, and soil data, enabling precise decision-making. Tablets replace notebooks and paper maps, centralizing information that previously required hours in the office.
Field data analysis also contributes to sustainability. By identifying areas with specific irrigation or fertilization needs, water and nutrient waste is avoided. In crops like sugarcane and corn, tablet monitoring aids harvest planning, reducing losses. The agronomy profession, regulated in Brazil since 1933, gains new prominence in the digital era, merging agronomic knowledge with data science.
Frequently Asked Questions
What is the importance of the tablet in precision agriculture?
The tablet allows real-time data collection and analysis, such as soil moisture and vegetation index, optimizing input use and increasing productivity.
How does twilight influence crop analysis?
Twilight's diffuse light reduces glare and facilitates sensor readings, also helping to identify water stress in plants.
Which Brazilian startups stand out in agricultural technology?
Agrosmart and Strider are examples of startups that create platforms integrating satellite, climate, and soil data to assist agronomists.
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