agriculture plugins

by Zaraat Dost ML/GIS team

Complete toolkit in one install: guardrails, GIS databases and dashboards, the cadastral/land-use pipeline, satellite ML, Earth Engine, the AGIS web app, the farmer mobile app, the .NET dashboard, deployment, quality, security, operations, usage monitoring and client reports.

by Zaraat Dost ML/GIS team

Next.js + Firebase + Earth Engine dashboard conventions: cadastral schema, GEE API routes, Pyodide workers, inference backend

by Zaraat Dost ML/GIS team

Guardrails (Node hooks), secrets audit, stack detection, onboarding, handoff, output style

by Zaraat Dost ML/GIS team

Local vs cloud profiles (Firebase App Hosting, Vercel, Hugging Face Spaces, EAS, Docker on AWS), pre-flight and rollback

by Zaraat Dost ML/GIS team

Authentication, export limits, Sentinel-1/2 composites, index time series, harvest detection

by Zaraat Dost ML/GIS team

Spatial database study and management, dashboards, layer publishing — Python or .NET

by Zaraat Dost ML/GIS team

Segmentation training conventions, pre-flight bug checks, Colab patterns, model cards

by Zaraat Dost ML/GIS team

Expo / React Native farmer-app rules: RTL i18n, API envelope contract, secure storage, release checks

by Zaraat Dost ML/GIS team

End-to-end cadastral and land-use pipeline: boundary inference, spectral features, classification, sub-parcelling, SAM2

by Zaraat Dost ML/GIS team

Deliverable memos, harvest reports, layer metadata

by Zaraat Dost ML/GIS team

Raster-to-parcel vectorisation, topology repair, junction straightening, road subtraction, gap analysis