Build a Pest Monitoring Trap Network with ESP32-CAM and LoRa to Count Pests by Species

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Transform your farm into a data-driven pest surveillance system. This kit lets you build three solar-powered trap nodes that automatically photograph insects, classify them by species using onboard AI or cloud processing, and transmit the counts over LoRa to a central dashboard. Whether you're monitoring a polyhouse, an orchard, or a research plot, you'll get real-time pest pressure data without walking the field.

What You'll Build

You’ll assemble three autonomous, weatherproof trap stations that capture images whenever a PIR sensor detects movement near a sticky trap. Each node logs the image with a timestamp and light level, then a LoRa gateway aggregates the data from all nodes. The result is a live dashboard showing pest counts per species, per location, over time—enabling precise, timely interventions.

What You'll Learn

• Program ESP32-CAM for motion-triggered image capture and low-power sleep modes.
• Interface LoRa RA-02 modules to build a long-range, low-power sensor network.
• Integrate real-time

  PIR + ESP32-CAM trap sensors photograph and count pests per species. LoRa uploads counts to cloud dashboard.

  What's in this kit

  • ESP32-CAM x3
  • Arduino Nano x3
  • RA-02 LoRa x4
  • HC-SR501 PIR x3
  • BH1750 x3
  • DS3231 RTC x3
  • MicroSD Module x3
  • 433MHz Antenna x4
  • Solar Panel 6V 1W x3
  • TP4056 Module x3
  • 18650 Cell x3
  • PCB Prototype Board x4
  • Waterproof Enclosures x3
  • Soldering Iron
  • Solder Wire

  Choose your assembly option:

  • Soldering Kit — 25W soldering iron, 60/40 solder wire, flux, and small perfboard for permanent assembly.
  • Breadboard Combo — 800-point full-size breadboard with 65-piece jumper wire pack for solderless prototyping.