YZDOSS Smart Agricultural Irrigation System

#### Executive Summary

YZDOSS (Yapay Zeka Destekli Otonom Sulama Sistemi) is an AI-driven autonomous precision agriculture platform engineered to optimize water consumption in farming through real-time environmental telemetry and intelligent fuzzy logic decision algorithms. Utilizing Raspberry Pi 5 for edge computing, ESP32-S3 node microcontrollers, capacitive soil sensors, and ESP32-CAM optical modules, YZDOSS delivers automated, multi-variable irrigation control tailored to crop needs and microclimate forecasts.

#### Key Features & Innovations

* Multi-Variable Fuzzy Logic Engine: Integrates real-time capacitive soil moisture, temperature, microclimate data, and rain probability forecasts into a custom fuzzy logic controller for dynamic irrigation scheduling.

* ESP32-CAM Vision & Smart Sensor Integration: Incorporates wearable ESP32-CAM optical modules and leaf-level micro-environment telemetry for field observation and plant health monitoring.

* High-Efficiency Edge Computing: Executes telemetry processing, sensor polling, and decision matrix algorithms locally on Raspberry Pi 5 without relying on continuous cloud connectivity.

* Scalable Modular Telemetry: Custom sensor node network with robust power-efficient communication topology for agricultural fields.

#### Hardware Architecture

* Edge Processing Unit: Raspberry Pi 5 (8GB)

* Telemetry & Control Nodes: ESP32-S3 & ESP32-CAM microcontrollers

* Sensor Suite: Capacitive soil moisture sensors, ambient temperature/humidity probes, and leaf temperature telemetry modules

* Actuation System: Relays driving multi-zone 12V/24V solenoid water valves

#### Team & Project Status

* Developed by: Syperix Technology Team

* Project Lead: Tuğrul Murathan Tapar (Team Captain & Lead System Architect)

* Achievements: Awarded 3rd Place in the National High School Category at Tarımfest 2026.

* Current Stage: Core decision algorithms, database architecture, and field hardware prototypes finalized; ongoing integration of wearable optical modules.