Edge-AI Plant Care System
This independent project explores the intersection of plant lifecycles and embedded systems. Designed as a closed-loop robotic ecosystem, the unit utilizes a dual-architecture approach: an NVIDIA Jetson Nano to visually diagnose plant health, and an ESP32 microcontroller handling real-time telemetry and 12V actuation (pumps and full-spectrum lighting). The goal is to create a system that doesn't just water on a timer, but reacts dynamically to biological needs.
Current Status: Active Development
Note: The image displayed is an AI-generated concept rendering. Photos of the physical 3D-printed build and wiring schematics will be uploaded as the project reaches completion.
Plant of Focus: Coffea Arabica
Machine Learning Data Sets
Circuit Prototype
Structural Components
These components are in the prototyping stage of design, testing fit and function, and iterating based on findings.
Height-Adjustable Lighting Mount
Height-Adjustable Camera Mount
