Core Technology

AI Smart Water Requirement Model & Automated Irrigation Management System

Moving irrigation decisions from "farmer intuition" to "soil data speaks." Using field capacity (FC) and readily available water (RAW) as trigger thresholds, combined with crop growth stages and weather evapotranspiration, the system automatically calculates optimal irrigation volume — then solenoid valves execute it. Soft rot risk from over-irrigating old ginger is eliminated at the source.

01🌱

Soil Baseline Modeling

Analyze field soil texture, bulk density and water retention to establish FC, PWP, PAW, RAW — the physical parameters that form the decision engine's foundation.

02📡

Real-Time Sensor Collection

Multi-depth FDR moisture sensors + water potential tensiometers, paired with a weather station (rainfall, temperature, humidity, solar radiation), continuously transmit root zone moisture dynamics.

03🧠

AI Dynamic Decision

When soil moisture drops below the RAW threshold, the system calculates optimal irrigation volume (refill to FC); integrates rainfall forecasts to avoid over-irrigation; dynamically adjusts parameters by growth stage.

04💧

Solenoid Valve Auto-Execution

Decision signals drive solenoid valve open/close to automatically complete irrigation. Farmers shift from operators to system monitors, dramatically reducing labor dependency.

Core Problem

One Over-Irrigation Can Destroy an Entire Ginger Season

Old ginger is extremely sensitive to root zone oxygen deficiency. The traditional "water when it feels right" approach is especially dangerous during rainy periods or high evapotranspiration days. The problem isn't just "how much to water" but "how to know whether to water at all right now."

💧

Over-irrigation → Soft Rot

Old ginger roots can develop soft rot within days under waterlogged, anaerobic conditions. Deep soil moisture is invisible to the naked eye, and over-irrigation is often irreversible by the time it's noticed.

🌡️

Water Demand Varies by Soil and Growth Stage

FC can differ severalfold between sandy and clay soils. Water use coefficients also differ across germination, vigorous growth and rhizome expansion stages — a single fixed schedule cannot meet dynamic needs.

⏰

Human Judgment Cannot Scale

Even experienced farmers cannot monitor soil conditions 24/7, and it's nearly impossible to accurately predict whether to stop irrigation before an incoming rainfall event.

Ginger Soil Moisture Zone Diagram

Over-Irrigation Zone

> FC Root zone waterlogged & anaerobic, high soft rot risk

Readily Available Water (RAW) — Irrigation Trigger

FC×(1-p) to FC Optimal irrigation trigger range

Plant Available Water (PAW) — Mild Drought Stress

PWP to FC×(1-p) Crop begins experiencing drought stress

Below Permanent Wilting Point (PWP)

< PWP Roots can no longer extract water from soil

System triggers irrigation within the RAW zone and refills to FC, keeping roots permanently out of over-irrigation and wilting zones

Design Philosophy

Three Core Design Principles

This system does not pursue a complex black-box AI. Instead, it is built on clear agricultural physics models, so every irrigation decision has an explicit data basis and interpretable logic.

⚖️

Water Balance Model

RAW (readily available water) sets the irrigation trigger lower bound; FC (field capacity) sets the refill ceiling. Each irrigation volume = FC minus current soil moisture — eliminating both over-irrigation and under-irrigation.

📈

Growth-Stage Dynamic Adjustment

Root zone depth and water use coefficients differ across old ginger's germination, rapid growth and rhizome expansion stages. The model automatically switches parameters by growth stage to track the crop's actual water demand curve.

🔬

Field Observation Calibration

Regular field surveys of leaf color (Grade 1–4), leaf posture and canopy temperature continuously calibrate the model against real crop responses, preventing drift between calculated values and field reality.

🌿

Extendable to Young Ginger · Pink Ginger · All Ginger Varieties

Old ginger, young ginger and pink ginger differ primarily in harvest timing; the crop itself is the same. Once built, the model can be quickly calibrated for each variety's growth stage length and root zone characteristics, extending to a complete ginger water management system.

System Architecture

A Complete Loop from Sensing to Execution

Four integrated layers — hardware sensing, real-time data, decision model and automated execution — ensure every irrigation decision is evidence-based and immediately actionable.

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