Coffee production risk is a satellite-derived insight that assessed how well coffee crops performed under environmental conditions in Brazil during the 2025/2026 season. It highlighted where Brazil’s coffee crop demonstrated strong resilience and where environmental pressures may have translated into localized production risks.
Using satellite imagery and environmental indicators, we assessed whether vegetation growth aligned with climatic pressure levels in each region.
The analysis was updated monthly throughout the growing 2025/2026 season, providing a continuous view of crop resilience as it evolved.
This insight provided a municipality-level analysis of production risk across Brazil’s coffee-growing regions.
Data-driven insights that combined climatic trends with vegetative vigor in a historical context, quantifying risk
Traditional monitoring often focuses only on weather anomalies or vegetation signals. This insight took a different approach.
The Production Risk Index assessed how well crop growth held up under climatic pressure throughout the growing season.
Rather than asking simply “How green are the plants?”, the index asked: How well was the crop performing given the environmental conditions it was facing?
Agricultural risk isn’t born from a single day of heat; it builds over time. By tracking the cumulative interactions among temperature, rainfall, and plant vigor, we identified where the plant’s “internal battery” was being drained—even when the leaves still looked healthy.
The index assessed the gap between canopy appearance and environmental stress, identifying where climatic conditions may have compromised future yield.
Combined satellite vegetation signals with real-time environmental indicators to measure crop performance under seasonal strain.
Triggered risk alerts when crop growth degrades under climate stress, pinpointing exact areas facing yield limitations.
Delivered a structured system to continuously monitor agricultural stability across entire key sourcing regions, helping distinguish temporary fluctuations from persistent production risk.
Measured how coffee vegetation growth compared with its historical seasonal baseline. This indicator reflected whether crops were outperforming, matching, or underperforming typical growth patterns for the relevant stage of the season.
Measured moisture deviations from historical seasonal norms. Significant anomalies highlighted rainfall deficits or excessive precipitation that can disrupt critical flowering and fruit-set stages. Drought can trigger premature flower shedding and produce small, low-quality beans with reduced mucilage, while excessive rainfall increases the risk of root rot and fungal diseases such as coffee leaf rust, both of which can quickly compromise plant health and future yields.
Measured how coffee vegetation growth compared with its historical seasonal baseline. This indicator reflected whether crops were outperforming, matching, or underperforming typical growth patterns for the relevant stage of the season.
Brazil’s 2026 coffee harvest set a volume record and struggled on quality. We followed the season from fruit set to the final sweep. Here is what the data showed.
This insight presented aggregated signals across Brazil’s coffee-growing municipalities and was generated using Picterra’s GeoAI-powered Insights Hub. Organizations using Picterra’s Insights Hub can apply the same analytical framework at much greater depth across their sourcing regions.
Monitor crop stability and health at the supplier, farm, or plot level across your entire sourcing landscape.
Assess yield variability over time by analyzing localized weather indicators to evaluate impacts on crop health, harvest readiness, and production risks.
Integrate satellite-derived indicators directly into existing supply chain workflows for continuous traceability.
Generate verifiable geospatial evidence and environmental data to support sustainability programs and regulatory reporting.
Continuously track weather and environmental conditions affecting your sourcing regions.
