# Picterra GeoAI intelligence for agricultural sourcing and sustainability teams - Findings24: - ウェブサイト: - 料金: Freemium - カテゴリー: Analytics & BI ## Picterraとは？ Picterra is a GeoAI platform for environmental monitoring and agricultural supply chain intelligence. Its Insights Hub combines satellite imagery, supplier records, climate information, and other contextual data to help sourcing and sustainability teams assess conditions across individual plots. The platform connects observations across commodities and regions to support production risk assessment, land compliance, carbon monitoring, biodiversity, and regenerative agriculture. It augments existing farm and ESG data with geospatial evidence, helping teams decide which locations need investigation or intervention. ## Picterraでできること ### Continuous plot monitoring Tracks individual agricultural plots using satellite observations to detect land-use changes and environmental conditions over time. ### Combined risk signals Correlates satellite observations with climate, supply chain, operational, market, and geopolitical information to identify emerging risks and patterns. ### AI-assisted interpretation The Insights Hub AI Agent prioritizes alerts and produces summaries and reports tailored to business objectives, helping users interpret connected supply chain signals. ### Traceable recommendations Links recommendations to underlying imagery, geospatial analysis, and source data so teams can examine the evidence behind an insight. ### Land-based carbon intelligence Supports measurement, monitoring, and verification of land-based carbon across agricultural supply chains. ## 利用シーン ### Prioritize sourcing risk investigations Sourcing teams can identify crop stress and potential yield risks, then focus monitoring on regions that may threaten supply continuity. ### Assess deforestation risk for EUDR workflows Compliance teams can assess supplier plots for deforestation risk and use geospatial evidence to support deforestation-free sourcing and EUDR compliance workflows. ### Evaluate regenerative agriculture outcomes Track remotely observable practices such as shade trees, crop rotations, soil cover and buffer vegetation over time, then identify plots that need farmer support or further verification. The method depends on the crop, geography, practice and available data. ### Inform biodiversity policy Land stewardship organizations can monitor large areas to validate sustainable practices and inform biodiversity-focused policy. Picterra cites RPA's monitoring of more than 130,000 km² as an example. ## よくある質問 ### Which teams is Picterra designed to support? Picterra focuses on sourcing and sustainability teams managing agricultural supply chains, with workflows spanning production risk, regulatory compliance, carbon accounting, regenerative agriculture, and biodiversity. ### What outputs does the Insights Hub AI Agent provide? The agent provides prioritized alerts, summaries, and reports tailored to business objectives. Recommendations link back to the observations and source data used to generate them. ### What does the Brazil coffee production risk insight measure? It assesses coffee crop performance relative to environmental pressure using vegetation vigor and climate indicators. The published 2025/2026 analysis was updated monthly and mapped risk at municipality level, helping distinguish temporary fluctuations from persistent stress that could affect yield. ### What data and monitoring limits should a team consider? Supplier geolocations and plot boundaries should be validated before analysis. Different practices need different spatial and seasonal evidence: tree cover can persist, cover crops and tillage are seasonal, and rotations need a multi-year history. The applicable method depends on the crop, geography, practice and available data. ### How can I obtain insights for my own sourcing regions? Discuss your monitoring needs and supply-chain scope with the Picterra team. The public Brazil coffee study reports municipality-level signals; Insights Hub can apply the analytical framework at supplier, farm or plot level for an organization’s own sourcing regions. ## クイック情報 - **Category**: GeoAI and environmental analytics - **Main platform**: Insights Hub - **Primary users**: Agricultural sourcing and sustainability teams - **Monitoring scope**: Individual plots across commodities and regions - **Website**: https://picterra.ai/