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NG AIPlatform

AI + IoT platform for agriculture

Transparent Vietnamese produce, built on real data

One account, one data layer, one QR code. NG AI connects an AI assistant, IoT sensors, drones and cameras into a closed loop from seed selection to the dinner table, ready for domestic and export markets.

  • GS1 EPCIS 2.0
  • EUDR-ready
  • VietGAP · GlobalGAP

Plot A3 · Tomato

Greenhouse 2 · Demo co-op

Live
Temperature
24.6°C
Humidity
68%
Soil moisture
42%
CO₂
412ppm
Soil moisture · 24h45%

AI assessment

Crop health good

Late blight risk, next 3 days

Low

Simulated data

Vietnam's agro-forestry-fishery exports in 2025
US$70.09B
Specialized services in one unified platform
23
Architecture from field devices to buyers
5 layers
For a shipment's entire journey
1 QR code

The problem

Markets demand transparency faster than paper logbooks can deliver

Vietnamese produce exports are growing fast, but requirements on origin, pesticide residues and plot coordinates are growing even faster.

Late disease detection

Diagnosis relies on experience or input dealers, leading to overuse of pesticides and residues above limits.

Decisions without data

Planting, irrigation and fertilizing are rarely based on weather, soil and disease history.

Hand-typed QR codes

Most traceability QR systems are filled in manually, with no objective evidence, so buyers don't trust them.

Fragmented tools

IoT, drones and farm software each live in their own app, and the data never connects.

How NG AI solves it

Every farming activity automatically becomes a traceability record with evidence: the season log is written continuously by sensors, cameras, drones and every assistant consultation, never re-typed after the fact.

Unified platform

Six capability clusters, one shared data layer

Every module shares identity, farm data and the event stream, so you can adopt one piece at a time while your data stays connected.

Core platform

Farms, GPS-bounded plots, seasons and field logs form the data backbone.

  • Multi-tenant: farms, co-ops, enterprises
  • Standardized season logs
  • Alerts via app, SMS, Zalo

Artificial intelligence

An AI agent that diagnoses from photos, video and Vietnamese speech; builds treatment plans and forecasts.

  • Disease detection from images
  • Cited RAG knowledge base
  • Outbreak and yield forecasting

IoT, drones & cameras

LoRaWAN sensors, edge-controlled irrigation, multispectral drones and AI cameras for security and agronomy.

  • Keeps working offline
  • Disease hotspot maps from drones
  • Alerts and zoning

Traceability & compliance

GS1 EPCIS 2.0 events, GS1 Digital Link QR codes, VietGAP, GlobalGAP and EUDR dossiers.

  • Signed, hash-chained records
  • Multilingual QR portal
  • Growing-area code dossiers

Business

Plans, billing, and a marketplace linking buyers, input dealers, banks and insurers.

  • AI quotas per plan
  • Open partner API
  • Offtake connections

User applications

Offline-first mobile app for farmers, co-op web console, expert dashboard and trace portal.

  • Vietnamese UI and voice
  • Works on weak networks
  • Multi-farm web console

How it works

From a signal in the field to a line on the QR record

A single disease diagnosis flows through the treatment plan and spray log onto the traceability record, with nobody typing it twice.

  1. 1

    Collect data

    Sensors, cameras, drones and farmer photos sent to the assistant.

  2. 2

    Analyze with AI

    Identify the disease, severity and confidence.

  3. 3

    Early warning

    Map the risk zone and notify neighboring farms.

  4. 4

    Controlled advice

    Treatments from the approved list, expert review for risky cases.

  5. 5

    Write the record

    The season log is signed and shown when the QR is scanned.

Real-time monitoring

A farm dashboard for decision makers

Track environment, disease risk and irrigation across many growing areas on one screen. Sensor data turns into action right at the edge, even when the network drops.

  • Soil moisture, EC, pH, leaf wetness, light and rainfall sensors
  • Automatic irrigation by threshold, rain forecast and growth stage
  • Per-plot risk map with alerts via app and Zalo
app.ngai-platform · DashboardSimulated data

Per-plot risk map

LowHigh

Auto irrigation

70%

Soil moisture on target

Irrigating · Valve 2

Yield forecast

Recent alerts

  • Prolonged high leaf wetness · Plot A3
  • Drone found yellowing patch · Plot B1
  • Irrigated 1,200 liters · Plot C2

NG Assistant

An AI assistant that knows your field

Not just Q&A. NG Assistant is an AI agent that pulls sensor data, weather, plot history and the approved pesticide list to answer, then logs every consultation to the season record.

Multimodal

Photos, video, Vietnamese speech and regional dialects.

Approved products only

Checked by code, never left to the language model.

MRL cross-check

Flags active ingredients banned in the export market.

Human in the loop

Low-confidence or dangerous cases are confirmed by an expert.

NG Assistant

Online

Sample data
Leaf photo · Plot A3
Tomato leaves have brown spots with yellow edges, spreading fast after a few rainy days. What is it?

Most likely late blight (Phytophthora infestans)

92% confidence

Leaf wetness on plot A3 has stayed above 90% for the past 38 hours at 18–24°C: ideal conditions for the pathogen.

  • Remove infected leaves and improve greenhouse ventilation
  • Cut overhead watering, water at the base in the morning
  • Chemical treatment only from the approved list, with pre-harvest intervals

Sent to a plant-protection expert for review

PreventionReference photosAsk an expert

Traceability

One QR code tells the whole journey

Each shipment's record is built automatically from the season log using GS1 EPCIS 2.0, trustworthy enough for domestic buyers and international importers.

  1. 1Seed
  2. 2Planting
  3. 3Care
  4. 4Treatment
  5. 5Harvest
  6. 6Packing
  7. 7Shipping
  • Signed and hash-chained

    Records can't be edited, only corrected by a new event.

  • Clear data provenance

    Device-recorded, human-entered and AI-inferred data are labeled.

  • Multilingual

    Vietnamese, English and Chinese for international buyers.

Value for everyone

One platform, four kinds of users

Farmers & growers

Problem: Slow diagnosis, pesticide use by habit, paper records.

What NG AI delivers: Photo and voice diagnosis, season calendar, automatic irrigation and alerts.

Co-ops & enterprises

Problem: Hard to manage many growing areas and prove compliance.

What NG AI delivers: Multi-farm dashboard, standard logs, VietGAP, GlobalGAP and growing-area code reports.

Importers & retailers

Problem: No reliable data on origin and pesticide use.

What NG AI delivers: GS1 traceability records, spray history, time-stamped photos and video, EPCIS downloads.

Consumers

Problem: No idea where their food comes from.

What NG AI delivers: Scan the QR to see the full journey and a live camera of the growing area.

International standards from day one

Designed to pass the checks of demanding markets

  • GS1 EPCIS 2.0

    Traceability event standard

  • GS1 Digital Link

    Product QR standard

  • EUDR

    Geolocation, deforestation-free

  • VietGAP · GlobalGAP

    Good practice records

  • ISO/IEC 27001

    Information security

  • Vietnam PDP Law 2025

    Personal data protection

Roadmap

Gated by KPIs, never spread too thin

Five phases over about 36 months. Each phase starts only after the previous one hits its KPIs.

  1. 0Nov–Dec 2026

    P0

    Discovery & foundation

    Pick pilot crops and partner co-ops, design the data model, prototype the assistant.

  2. Jan–Jun 2027

    P1

    MVP

    Photo diagnosis assistant, season log, GS1 QR traceability. Pilot with 3–5 co-ops.

  3. 2Jul 2027–Feb 2028

    P2

    IoT & automation

    Sensors, auto irrigation, voice, forecasting. Installed on 10 pilot farms.

  4. 3Mar–Dec 2028

    P3

    Drones & AI cameras

    Drone disease maps, transparent livestreams, EUDR dossiers, blockchain hash anchoring.

  5. 4Jan–Oct 2029

    P4

    Global expansion

    Multilingual, EU data region, marketplace, ISO 27001, SOC 2, GDPR.

Ecosystem

From greenhouse to export container

Smart greenhouses and net houses monitored by sensors and drones

Smart greenhouses and net houses

Processing line with robots and AI quality inspection of vegetables

AI quality inspection after harvest

Packing hall with traceability QR labels on every box

Packed, QR-labeled, ready for export

Ready to put real data behind every shipment?

We're looking for co-ops and exporters to join our pilot program for durian, coffee and fresh produce.