Self-calibrating plant care system that adjusts watering based on species, soil type, and weather forecast.

An indoor gardening startup creating a precision irrigation system for home herb gardens and potted plants.
Building a system that can distinguish between 'soil needs water' and 'temperature caused sensor drift' without manual calibration per plant species.
The ESP32-S2 drives a capacitive moisture sensor array and a DS18B20 soil temperature probe. A 12V latching solenoid valve controls drip irrigation. The ESP32-S2's native USB supports easy field firmware updates.
We developed a self-calibrating algorithm in ESP-IDF that tracks baseline dry/wet resistance curves per plant. A lightweight MLP (Multi-Layer Perceptron) classifier determines optimal watering timing based on moisture trend, temperature, and the fetched 3-day weather forecast. The system uses MQTT over Wi-Fi to sync with a companion app. A watchdog timer and brownout detector ensure reliable long-term unattended operation.
98% accurate soil moisture readings across 15 plant species. 40% reduction in water usage vs. timer-based irrigation. Zero false watering events during rain forecasts.
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