Agronova
A full-stack precision-agriculture platform with an agentic AI layer that proposes actions and waits for human approval before acting.
“A precision-agriculture platform: organisations own farms, farms have fields, fields run crop seasons — with satellite imaging, soil sensors, irrigation, equipment, labour and market prices, and an AI layer that recommends actions a human approves.”
- Model
- deepseek-v4-pro
- Built
- 2026-08-09
- How
- many turns, every change reviewed
- Routes
- 11
It is the clearest answer to "can this build something real?" — a domain model with 30+ entities, an approval-gated AI layer, and routes that exist, all produced through the same review loop the product ships.
What it actually contains
- Organisation → Farm → Field → CropSeason domain model, 30+ Prisma models.
- Agentic loop modelled end to end: Observe → Understand → Decide → Act → Verify, with AIInsight, AIRecommendation, AIAction, AgentExecution and AgentMemory as first-class entities.
- Human-in-the-loop by design: every AI action carries an ApprovalLevel of AUTO, APPROVAL_REQUIRED or NEVER_AUTONOMOUS.
- Provenance on every AI entity — evidence, dataSources and dataFreshness — so a recommendation can be traced back to what produced it.
- Ten dashboards: irrigation, soil, imaging, market, tasks, equipment, sustainability, traceability, labour and agent activity.
- 3D field visualisations via react-three-fiber, and JWT auth with hashed credentials.
Stack
- Next.js 14
- Prisma + PostgreSQL
- react-three-fiber
- framer-motion
- JWT (jose) + bcrypt
- Tailwind
Routes that exist
- /dashboard/irrigation
- /dashboard/soil
- /dashboard/imaging
- /dashboard/market
- /dashboard/tasks
- /dashboard/equipment
- /dashboard/sustainability
- /dashboard/traceability
- /dashboard/labor
- /api/ai-recommendations
- /api/satellite-observations
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