JalRakshak Garden AI: Bringing Open-Source AI Into the Garden 🌱

说明与用途

JalRakshak Garden AI 是一个本地优先的系统，结合 React 仪表盘、FastAPI 后端、ESP8266 固件以及土壤/温度传感器，用于监测花园并使用本地 AI 推理实现自动浇水。

问题

Home gardeners lack a local, privacy‑preserving system that can monitor environmental conditions, log plant care, and automate watering based on real sensor data.

结果

The prototype demonstrates sensor data collection and a planned end‑to‑end flow from ESP8266 to dashboard, with future work on reliable Wi‑Fi, sensor calibration, and safe automated watering.

工作流

• Build React frontend for garden management and journal
• Implement FastAPI backend with SQLite and IoT telemetry endpoint
• Configure ESP8266 to read DHT11 and soil sensors and send data over Wi‑Fi
• Integrate sensor readings into dashboard
• Add second soil sensor for comparison and calibrate outputs
• Design relay and pump safety circuit with thresholds and cooldowns
• Plan automated watering rules and emergency stop

证据

The DHT11 has already produced real readings of approximately 30–31 °C and 64–66% relative humidity during testing.

来源

The mini pump and relay are part of the hardware prototype. Before enabling automatic watering, I plan to add safeguards such as configurable moisture thresholds, a maximum pump runtime, cooldown periods, and a manual emergency stop.

来源