Remote crop monitoring to identify critical areas and take action before it's too late.
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 —built on in-depth agronomic knowledge—to compare the expected crop behavior with its actual performance and promptly identify anomalies. The analysis takes into account the crop, variety, phenological stage, and weather conditions: precision agriculture tailored base farm’s base . The result is a clear map of areas with anomalies requiring attention, sent every 5 days via WhatsApp. In case of critical issues, immediate alerts are triggered , supported by the xFarm agronomic team to assess the situation and determine the next steps.
Fewer time-consuming on-site inspections — inspections focused where they’re truly needed
Anomalies detected before damage becomes visible in the field
Faster and more efficient decisions based on objective data
Large-scale farms
Cooperatives and supply chains that manage entire production areas
Get a more accurate picture of volumes, timelines, and quality
When production and harvesting are out of sync, the risk is inefficiency, losses, and reduced value.
Contracts, volumes, and harvest timing: these are decisions made months before the product is ready. Basing them on solid forecasts makes the difference between planning with control and playing catch-up.
The service combines historical production data, predictive weather models, agronomic parameters, satellite imagery, field sampling, and agronomic expertise to build yield estimates and track seasonal trends crop by crop. Results are available via dedicated dashboards in Power BI and alignment meetings throughout the season—so the collected data becomes an active working tool throughout the entire production cycle.
Estimated pre-harvest volumes by variety — fewer discrepancies between the field and the processing plant
Harvest window defined to preserve product quality and value
Estimates updated throughout the season, not just at the start of the season
For cooperatives and supply chain managers
Processing plants
Large-scale operators on large areas
Tailor your agronomic decisions to the soil variability of your fields.
Soil variability is a critical factor. Agronomic decisions should reflect this.
Crop selection, water management, fertility, uniformity of growth, and pest risk: it all starts with the soil. But without an accurate understanding of the variations within your fields, many decisions continue to be based on assumptions. This is where soil characterization services come into play.
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 goal is to identify homogeneous zones and transform variability into a concrete base —applicable during planting, crop management, and biological risk assessment. The maps are updated and sent periodically; they can be viewed directlyapp xFarm app ,xFarm in the event of critical issues, the xFarm agronomy team promptly xFarm the client to determine the next steps.
Plants selected based on actual soil variability—crops, varieties, rootstocks, irrigation
Fertilization based on the actual fertility of the field, which can be integrated with prescription maps
The presence of fungi, bacteria, and nematodes is detected before they affect the crop
For farms
Agronomists
Input producers who evaluate the performance of treatments
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