When fields are spread over large areas, crop monitoring cannot rely solely on field visits. The service uses satellite imagery and proprietary agronomic models based on artificial intelligence and a solid base to compare the crop’s expected behavior with its actual performance and promptly identify anomalies— taking into account the crop, variety, phenological stage, and weather conditions.The result is a clear map of areas requiring attention,sent every 5 days via WhatsApp. In case of critical issues, immediate alerts are triggered with support from the xFarm agronomic team.

Crop selection, water management, soil fertility, and pest risk: it all starts with the soil. Without an accurate understanding of the variations within your fields, many decisions are based on an incomplete picture. The service combines soil zoning, topographic surveys, guided sampling, laboratory analysis, and geospatial mapping to create detailed maps of the soil’s physical, chemical, and biological properties. The maps are updated and sent periodically; they can be viewedapp xFarm app ,xFarm in the event of critical issues, the agronomy team contacts the client promptly.

Contracts, volumes, and harvest timing: these are decisions made months before the product arrives. Basing them on solid forecasts makes the difference between planning with confidence and playing catch-up. The service combines historical production data, predictive weather models, satellite imagery, field sampling, and agronomic expertise to generate yield estimates and trackseasonal trends.