HVAC Performance Monitor Kit v3
HVAC Performance Monitor Kit v3 — Arduino-Powered Hyperspectral Vegetation Analyzer
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Imagine walking through a field or greenhouse and instantly knowing which plants are stressed before any visible symptoms appear. This kit lets you build a handheld Hyperspectral Vegetation Analysis Camera (HVAC) that reads 18 discrete wavelengths of reflected light from leaves, then computes the Normalized Difference Vegetation Index (NDVI) and other stress indicators — giving you laboratory-grade plant health data in seconds. Built around the AS7265x tri‑spectral sensor array and an Arduino Mega, the device logs readings with GPS‑ready timestamps and displays spectral profiles on a 2.4-inch TFT screen.
What You'll Build
You will assemble and calibrate a full-spectrum reflectance meter that quantifies chlorophyll content, water stress, and canopy density non‑destructively. The finished HVAC unit can be taken directly to field plots, polyhouses, or research stations. After each measurement, spectral signatures save to a MicroSD card for downstream analysis in tools like QGIS or Python. This is not a toy; it’s a scientific instrument that replaces multi‑lakh spectroradiometers with open‑source components.
What You'll Learn
- Interfacing the 18‑channel AS7265x sensor with Arduino Mega over I²C and interpreting raw spectral counts
- Translating visible and near‑infrared reflectance values into NDVI, PRI, and other stress indices
- Designing a custom PCB layout and soldering a rugged, field‑portable instrument
- Integrating environmental sensors (temperature, humidity, atmospheric pressure) to correct spectral measurements
Kit Contents
| Component | Quantity |
|---|---|
| Arduino Mega 2560 | x1 |
| AS7265x Spectral Sensor | x1 |
| BMP280 | x1 |
| DHT22 | x1 |
| DS3231 RTC | x1 |
| MicroSD Module | x1 |
| 2.4in TFT ILI9341 | x1 |
| 4.7kΩ Resistors | x5 |
| 100nF Caps | x10 |
| PCB Prototype Board | x2 |
| M-M Wires | x25 |
| Soldering Iron | x1 |
| Solder Wire | x1 |
Why Buy This Kit Instead of Sourcing Parts Separately
| Factor | Sourcing Separately | Compoden Kit |
|---|---|---|
| Compatibility checks | You verify every part | Pre-tested as a system |
| Build support | Forums and scattered tutorials | AI companion trained on this exact project |
| Time to first working build | Days of debugging | Hours, with step-by-step guidance |
| Shipping coordination | Multiple sellers, multiple delays | One shipment from Bengaluru in 3-5 days |
Who This Kit Is For
This is built for serious makers and researchers – B.Tech ECE/EEE students fabricating their own remote‑sensing payloads, M.Tech scholars in precision agriculture, and scientists at ICAR or state horticulture departments. It fits perfectly into Smart India Hackathon teams working on crop stress detection, as well as environmental monitoring lab projects at IIT, NIT, VIT, or BITS Pilani. If you need to replace expensive multispectral cameras with a reproducible, open‑source instrument, this kit is your launchpad.
Built and Backed by Compoden
Every Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.
What if I get stuck during the build?
Scan the QR code inside the box to start a conversation with the AI companion. If you need human help, WhatsApp us with your order number, and we'll reply within 2 hours.
What does HVAC stand for and how is this monitor used?
HVAC stands for Hyperspectral Vegetation Analysis Camera – the device you’ll build. It quantifies plant health by measuring how leaves reflect 18 narrow light bands, then calculates NDVI and stress indices on-device. Farmers and researchers use it to detect nutrient deficiency, drought stress, or disease before human eyes can see them.
Which crops or plants can I analyze with this kit?
The AS7265x covers the visible and near‑infrared range (410–940 nm), making it suitable for any green vegetation. Common Indian applications include rice, wheat, maize, sugarcane, and horticultural crops like tomato and grapes. The on‑board environmental sensors correct for ambient light, so you can measure under full sun or partial shade.
Can I integrate this with a drone or IoT cloud?
Absolutely. The logged CSV files include timestamp and environmental data, ready to fuse with drone‑mounted GPS logs. You can also send readings via serial to an ESP8266/ESP32 module (not included) to push data to a cloud dashboard in real time.
HVAC — AS7265x tri-spectral sensor array reads 18 wavelengths of reflected light from leaves to compute NDVI and stress indices.
What's in this kit
- Arduino Mega 2560
- AS7265x Spectral Sensor
- BMP280
- DHT22
- DS3231 RTC
- MicroSD Module
- 2.4in TFT ILI9341
- 4.7kΩ Resistors x5
- 100nF Caps x10
- PCB Prototype Board x2
- M-M Wires x25
- 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.
Shipping Information
- Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
- COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
- Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location
Returns & Warranty
- 7-Day Return: Manufacturing defects only (approval required)
- Warranty: 7 days from delivery
- Non-Returnable: Batteries, consumables, cut wires, clearance items