Trust farm project - Present video
A guided walkthrough of the problem, the trust engine, the 3D twin and the live demo.
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Silent Force · Trust before advice
Waking the 3D farm…
Trusted AI irrigation and farm energy
Low-cost field sensors fail quietly — and the model still produces an answer. TrustFarm verifies every reading before the AI is allowed to advise.
The full project walkthrough, the original submission and the live 3D hardware twin — together, without the long scroll.
A guided walkthrough of the problem, the trust engine, the 3D twin and the live demo.
OneDrive blocks embedded playback. Open the full film in a new tab, or download it for offline viewing.
Rendered preview of the original PPTX — all 25 slides, unchanged.
Rendered slide preview. Wording is unchanged from the submitted PPTX.
A real browser-based hardware model — not a rendered mock-up.
3D circuit
Live 3D twin
Open the model →
Trust-gated AI plus energy-aware irrigation advice — demonstrated in a live 3D twin.
ESP32 + INA219
Trust Engine
3-hour forecast
Explained action
Energy gate
A 0–100 trust score decides whether the forecast becomes advice, a request for a manual check, or a pause and an alert.
Advice allowed
Predict, but ask for a manual check
Advice paused; alert raised
Soil moisture, 36 steps ahead. A GradientBoosting model forecasts soil moisture; a balanced classifier turns it into Low / Medium / High need.
Water only when power allows. Battery state and generation can turn “irrigate now” into “delay or use manual supply”.
One 3D pipeline: field sensors, MQTT gateway, trust gate, forecast and farmer app — with a fault cycle that pauses advice.
Apps, datasets, models and results — with measured data separated from synthetic tests.
Live overview, 24-hour analytics and read-only alerts — on desktop and mobile.
Public data supports development. It is not a substitute for a field pilot.
Forecast error improves against persistence. Fault detection is still below the target.
Implemented in code: field ingest, trust gate, forecast, advice, monitoring and apps. Proposed / supervised build: digester, gas cleaning, generator, charge controller and BMS.
AI & backend · web & mobile · IoT & communication · deployment & integration.
AI & Backend · Team leader
Web & Mobile Applications
IoT & Communication
Deployment & Integration
Watch the film, open the original deck, or explore the live 3D circuit. Demo data unless hardware is connected.
