Home ESP32 Aquaculture Monitoring Kit: Predict Daily Nutrient Needs Using TDS, pH, DO & Temp
Industrial Boiler Temp Monitor Kit with ESP32 + LED
In Stock

ESP32 Aquaculture Monitoring Kit: Predict Daily Nutrient Needs Using TDS, pH, DO & Temp

SKU: CDN-KIT-3230-SLD Brand: Compoden Category: Electronics > Agriculture & Smart Farming > Project Kits
Rs. 10,830.00
Inclusive of all taxes
Free Shipping on prepaid orders above ₹999
Ships in 1-5 days
7-Day Warranty on manufacturing defects
Need 10+ units? Contact us for bulk pricing
100% Genuine Products
Expert Technical Support
Quality Tested
Soldr.ai Ask about this product

ESP32 Aquaculture Monitoring Kit: Predict Daily Nutrient Needs Using TDS, pH, DO & Temp

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

Difficulty: Advanced Build Time: 12-15 hrs Age: 25+ Skill: Aquaculture data logging & regression modeling

Deploy a multi-parameter water quality logger that continuously records TDS, electrical conductivity, pH, dissolved oxygen, and pond temperature, then feeds that data into a Python regression model that forecasts exactly how much feed your fish need tomorrow. This kit turns raw sensor readings into actionable insights for precision aquaculture.

What You'll Build

A fully enclosed, waterproof monitoring unit that mounts at the pond edge. The OLED displays live readings; the onboard RTC timestamps every sample stored on the microSD. Once you've collected a week of data, a provided Jupyter notebook trains a linear regression model on the correlations between water parameters and historical feed quantities, giving you a daily feed prediction with over 90% accuracy.

What You'll Learn

  • Interface multiple analog water quality sensors (TDS, pH, DO) with the ESP32's ADC, applying calibration curves
  • Set up SPI communication for a real-time clock (DS3231) and SD card logging
  • Design a 12V-to-5V regulated power supply using an LM2596 buck converter for outdoor deployment
  • Train a regression model with Python's scikit-learn to predict fish feed quantity from logged water quality parameters

Kit Contents

Component Quantity
ESP32 Dev Board 1
TDS EC Meter 1
Analog pH Module 1
Analog DO Module 1
DS18B20 Waterproof 2
DS3231 RTC 1
MicroSD Module 1
LM2596 Buck Converter 1
0.96in OLED 1
4.7k? Resistors 10
100nF Capacitors 15
PCB Prototype Board 3
Waterproof Enclosure 1
12V Adapter 1
Soldering Iron 1
Solder Wire 1

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

B.Tech students in ECE, EEE, or Agriculture Engineering building IoT-based aquaculture projects; aquaculture researchers at agricultural universities; agri-tech startup teams prototyping precision feeding systems for inland fisheries; participants in Smart India Hackathon developing sustainable farming solutions.

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?

Our AI companion walks you through each step; if further help is needed, simply send a WhatsApp message to our Bengaluru support team for a personalized video walkthrough.

How do I interpret the regression model output?

The AI companion includes a Jupyter notebook that guides you through loading the CSV data from the SD card, cleaning it, training a linear regression model, and evaluating its predictions, so you'll see how each water parameter influences feeding needs.

Can this kit be used in saltwater aquaculture?

Yes, the waterproof DS18B20 sensors and epoxy-sealed pH/DO probes handle saline conditions; just ensure regular cleaning of electrodes as described in the companion guide.

What programming skills do I need?

You'll need beginner-level Arduino IDE experience for the ESP32 firmware, and basic Python for the regression analysis. The AI companion provides the full code and explanations.

Industrial Process - TDS EC, pH, DO, temp and fish feeding logged to build regression model predicting daily nutrient needs.

What's in this kit

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

View complete shipping policy →

View complete returns policy →