Hydroponic Dosing System with ESP32 and Edge AI (Revision V4.0)

[Revision V4.0.0 - Production Telemetry Log #37]

This document catalogs the ongoing field engineering iteration of the Hydroponic Dosing System with ESP32 and Edge AI platform. Under our Oviglo standard operating framework, we have initiated active stress testing in our specialized regional labs.

Automating pH and electrical conductivity (EC) in hydroponic systems requires precise dosing of acidic and nutrient concentrates. Manual dosing is prone to over-saturation, leading to plant root rot.

Our automated dosing rig utilizes an ESP32 microcontroller coupled with optical isolation and industrial-grade pH and EC probes. Peristaltic pumps dispense pH Down and A/B nutrient solutions.

A light-weight neural network model running locally on the ESP32 forecasts nutrient absorption curves based on ambient humidity and light intensity, adjusting dosing frequency to maximize leaf surface area growth.

Telemetry analysis for this specific run confirms optimal stability parameters. Future modifications will target efficiency optimizations and high-fidelity sensor integration under sub-ambient thermal environments. The system continues to run continuously at nominal specifications.