Planted area and crop yield

The Safras line enables to measure crop production by evaluating planted area and crop yield. The use of satellite images, combined with meteorological information and other ancillary data, alows to folow crop planting progress, crop growth development and harvest progress of the major crops in relvant agricultural production regions — the use of advanced computational algorithms in combination with a specialized team in agriculture and geoprocessing results in precise measurements of planted area and crop yield, allowing assertive estimation of crop harvests. This line of products covers the main agricultural crops cultivated in Brazil, such as sugarcane, soy, corn and cotton, as well as planted forests.

What the Safras line delivers

  • Predictability for decision making, enabling forecast of crop yield variations, for clients that want to take more assertive positions in the market to maximize economic gains.
  • Area and yield estimates in GIS-compatible maps, enabling cross-referencing with other georeferenced information.
  • Support in defining the most effective commercial strategies, identifying operational gaps in the territory, and better sizing of the market share at the microscale.  

Examples of potential clients

Banks, credit unions, investment funds, consultants, governmental agencies, grain traders, refineries, manufacturers of agricultural fertilizers, machinery and implements. Companies that negotiate agricultural commodities or whose results suffer impacts according to harvest numbers.

What is offered

The products of the Safras line comprise GIS-compatible maps that can be made available interactively in web systems, tabular estimates generated through statistical methods, and harvest reports.


Enables estimation of planted area from georeferenced information and detailed maps or statistical methodologies. The area projections can be made for a single plot, for an entire biome, or even an entire country. This is accomplished using the MODIS sensor time series and other satellite images (Landsat, Sentinel, CBERS and Resourcesat among others). A technological arsenal is at our clients disposal, from photointerpretation to advanced techniques based on artificial intelligence capable of delivering rapid responses and serving a broad spectrum of applications and budgets. Agrosatélite offers supportive tools for visualization and analysis of results on the web, facilitating a more effective use of the different levels of information generated by the maps.


This product is a new approach for estimating crop yield, enabling clients to anticipate and assume a better position in the market — at the farm level or at an entire sector. The yield estimates result from remote monitoring of agrometeorlogical parameters for the main agricultural production zones, using diverse satellite data, information derived from climatic models developed by CPTEC/Inpe, and meteorological station data, among others. The crop yield models are frequently refined and validated with field information, taking into account the development of new crop varieties and the regional crop calendars.