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DIY-276 DIY KITS ACEBOTT

ACEBOTT QE002 ESP32 IoT Smart Farm STEM Kit

AED 274.00

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Key specs
SKU
DIY-276
Controller Platform
ESP32-based
Programming Support
ACECode, Arduino IDE, Python (environment dependent)
Connectivity
Wi‑Fi, Bluetooth (ESP32 capability)
All 10 specifications ↓
Details
SKU
DIY-276
Category
DIY KITS
Brand / MPN
ACEBOTT QE002
Min. order
1 pc
Barcode
DKU-000318

Overview This ESP32 IoT Smart Farm STEM kit is a project-based learning platform that blends electronics, programming, and “smart agriculture” concepts into a single interactive build. Students assemble a farm-themed plywood model and bring it to life using an ESP32 microcontroller, plug-in sensors, and output modules.

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Included Components DIY-276

ESP32 smart farm kit set with plywood parts, sensors, modules & cables

Description

Overview

This ESP32 IoT Smart Farm STEM kit is a project-based learning platform that blends electronics, programming, and “smart agriculture” concepts into a single interactive build. Students assemble a farm-themed plywood model and bring it to life using an ESP32 microcontroller, plug-in sensors, and output modules. The result is a simulated modern farm system that can monitor environmental conditions, trigger automation actions, and demonstrate renewable-energy ideas through a solar/windmill-style mechanism concept. It’s designed for K-12 classrooms, makerspaces, and home learning where learners can progress from guided builds to creative extensions.

Technical Details

At the core is an ESP32 controller (module revision may vary), chosen for its built-in Wi‑Fi/Bluetooth capability and strong ecosystem support. The kit uses an Easy‑Plug style connection approach (pre-terminated cables and keyed ports) to reduce wiring errors and speed up iteration—ideal for education settings where repeatable assembly matters. Learners can work with common embedded patterns such as:

  • Reading sensors (digital and analog sampling, thresholding, debouncing where needed)
  • Driving actuators (PWM for dimming/servo control, digital outputs for alarms/indicators)
  • Closed-loop logic (e.g., water when soil is “dry”, alarm when tank level is low)
  • Event-driven behaviors (timers, state machines for feeding cycles and lighting modes)
  • Optional IoT concepts (network connectivity, telemetry, and remote control depending on the provided examples and firmware support)

The farm scenario provides a natural way to teach system integration: a “planting” area can be paired with moisture sensing logic, a reservoir can be paired with level detection and alarms, and lighting can be automated based on ambient light conditions. RGB lighting control introduces color mixing and PWM fundamentals, while feeder and watering mechanisms introduce motion control and safe mechanical assembly practices.

Specifications

  • Controller: ESP32-based development board (exact ESP32 variant, flash size, and module revision varies by kit batch; check board marking/datasheet)
  • Programming support: ACECode tutorials plus Arduino IDE compatibility; Python support depends on the included firmware/environment (often via MicroPython or similar—verify with the provided course files)
  • Connectivity: Wi‑Fi/Bluetooth capability available on ESP32 hardware (usage depends on lesson content)
  • Build material: Laser-cut plywood structure (eco-friendly; thickness varies by revision)
  • Wiring: Easy‑Plug modular connectors/cables for quick assembly (pinout and port mapping defined by the included controller/shield)
  • Functions demonstrated (project-dependent): automatic watering logic, water level alarm, RGB light control, environmental monitoring, feeder actuation, renewable-energy themed windmill/solar concept demo

Applications

  • STEM education projects: IoT basics, embedded programming, sensor fusion, and automation logic
  • Classroom labs: guided experiments for inputs/outputs, PWM, thresholds, and control loops
  • Robotics/mechatronics introduction: actuator control and mechanical assembly with safe materials
  • Smart agriculture simulation: monitoring + decision-making workflows similar to real greenhouse/farm automation
  • Maker prototyping: extend with additional sensors, dashboards, or data logging (as supported by the ESP32 environment)

Integration Notes

  • Power: Use the recommended power method included with the kit/controller. ESP32 systems commonly operate at 3.3V logic; many educational shields accept 5V input while regulating internally—confirm the board labeling before connecting external power.
  • Logic levels: Treat ESP32 GPIO as 3.3V logic unless the board documentation explicitly states level shifting.
  • Sensor ports: Easy‑Plug ports may be mapped to specific GPIO/ADC pins; follow the tutorial wiring map to avoid using input-only pins incorrectly or exceeding ADC limits.
  • Actuators: Motors/servos can cause brownouts if power is insufficient. If you add extra loads, use a separate regulated supply and common ground, and keep wiring short to reduce voltage drop.
  • Software: Install the recommended board package/drivers for Arduino IDE (or the kit’s learning environment). If using Python, confirm whether MicroPython firmware is preloaded or needs flashing.

Included Components

ESP32 smart farm kit set with plywood parts, sensors, modules & cables

Specifications

SKU DIY-276
Controller Platform ESP32-based
Programming Support ACECode, Arduino IDE, Python (environment dependent)
Connectivity Wi‑Fi, Bluetooth (ESP32 capability)
Logic Level 3.3 V
Wiring System Easy‑Plug modular connectors
Build Material Plywood (laser-cut)
Project Tutorials 16
Primary Use STEM education, IoT learning, smart farm simulation
Functions Watering control, feeder actuation, RGB lighting, monitoring, alarms

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