Arduino Sketch for Industrial Soil Temperature, Moisture, EC, pH & NPK Sensor using ESP32

Soil monitoring and controlling system has been developed to adopt precision agriculture using Wireless Sensor Networks, which enables remote monitoring of soil fertility and other parameters namely soil moisture, NPK and temperature. This data is transmitted to the cloud and the corresponding values are displayed on a mobile application. The proposed system has the intelligence to recommend the quantity of water and fertilizer which improves the quality of the soil and ensures optimum growth of the crop. Web application is used to act as admin panel. The admin can monitor and control all the activities in the farm. In farming, farmers should inspect the work on a daily basis. From this project we hope to bring efficiency to the agricultural space, create a virtuous cycle that makes food production more accessible to consumers, saves farmers time and money, and reduces the environmental impact of farming by bringing sustainability to the process. This project include Arduino System, Mobile Application and Web Application. Used technologies Arduino, Flutter, react js, HTML, Firebase

Soil NPK Sensor solution for vertical and agricultural farms. Hardware (IoT) and Software (AI Software).

Smart Crop Monitoring System uses IoT sensors and ML models to optimize farming. It collects real-time data (temperature, humidity, NPK), predicts soil moisture, and recommends fertilizers. Data is visualized on a ThingsBoard dashboard, enabling informed decisions for better yields and sustainable agriculture. Built with Python and MQTT.

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ESP32 soil monitoring system(using NPK sensor) generating ML-ready datasets via automated cloud logging.

CODE-FILES FOR THE IOT BASED SOIL MOISTURE ANALYSER USING NPK SENSORS. IT INCLUDES THE AURDUINO FILE AND THE ML MODEL.

Crop Recommder system - recommends the best suitable crop by taking the picture of soil or by using sensors to find NPK values.

integrating NodeMCU ESP8266 development boards with Soil NPK sensors, this system offers a paradigm shift in managing soil nutrients Nitrogen (N), Phosphorus (P), and Potassium (K) essential for crop growth as well as the PH level , moisture, temperature, and humidity

The intelligent Plant Watering System utilizes IoT-based sensors to optimize irrigation, soil health.It features real-time monitoring of soil moisture, NPK nutrients, temperature, and weather. The system provides predictive irrigation, a web dashboard, and scalability for farms of any size, enhancing efficiency , sustainability.

Real-time monitoring of air temperature, air humidity, soil moisture, and NPK nutrients using sensors connected to a Raspberry Pi. Data is sent to a cloud-based web app for visualization, alerts, and smart irrigation, fertilizer and crop recommendations.

This IoT-powered Soil Tester utilizes an ESP32 microcontroller to measure soil Nitrogen (N), Phosphorus (P), and Potassium (K) levels using an NPK sensor. It displays real-time values on a 20x4 I2C LCD and synchronizes data to Firebase Realtime Database, which is consumed by a custom-built Android app developed in Java using Android Studio.

AI-Powered Crop Recommendation System 🌱🚀 An AI-driven web and mobile application that predicts the best crops based on soil nutrients (NPK), pH, temperature, humidity, and rainfall. Using machine learning, IoT sensors, and real-time weather data, this system helps farmers make data-driven decisions for better yield and sustainability.

Soil NPK Sensor

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RS485 Soil NPK PH Sensor, 7 in 1 Multi‑Parameter Sensor with PH NPK Temperature and Humidity EC Sensor

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Config files for my GitHub profile.

Smart agriculture Android app with AI-based plant disease detection, soil sensor monitoring (NPK & moisture), and Firebase integration for real-time tracking.

Designed and implemented an IoT-driven system integrating NPK sensors for real-time soil nutrient monitoring, built hardware-based networking connections for reliable sensor communication, and applied AI models to analyze soil data and provide intelligent nutrient optimization recommendations.

Designing & development of an affordable IoT sensor node (<₹2000) for agriculture. Measure: pressure, temp., humidity, altitude, soil moisture, NPK. Wireless data transmission for real-time monitoring

A smart agriculture monitoring system using an Arduino master and custom ESP32 slave nodes. Displays real-time soil moisture, air quality, temperature, and NPK levels. Utilizes RS485 protocol for NPK sensor communication and cloud data logging via ESP32.

for reading out soil sensors, to be exact, the one I'm testing measure T, H, EC, PH, NPK, and it's modbus/rs485 (with converter to USB)

Developed an intelligent soil monitoring system using IoT sensors (pH, moisture, NPK, EC) and a stacking ensemble model (XGBoost, MLP, HGB) to classify soil quality and recommend corrective actions and crops. A Flask web app provides real-time insights, supporting sustainable precision farming.

Smart Agro Dashboard is a web-based application designed to help farmers and agricultural professionals monitor key environmental and soil conditions in real time. The dashboard displays live sensor data including soil moisture, humidity, temperature, and NPK (Nitrogen, Phosphorus, Potassium) levels, providing a comprehensive overview.

CropSense: An AI-Powered Crop Recommendation System An innovative project that integrates Arduino-based NPK sensors with machine learning models to analyze soil nutrient levels (Nitrogen, Phosphorus, Potassium) and provide optimal crop recommendations. Designed to enhance sustainable farming and soil health monitoring through data-driven insights.

Team HarvestH2O – Gamified Soil Health STEM Kit An IoT (SoilLearn) + TinyML powered soil health monitoring and learning kit for schools. Combines ESP32 sensor nodes (moisture, temp, NPK, light, CO₂, etc) with a gamified web app to teach children sustainable farming. Features real-time dashboards, plant avatars, quests, badges, and teacher reports.

Smart Autonomous Agricultural Robot uses SLAM-based navigation, AI crop detection, and NPK, soil moisture, temperature, and humidity sensors to enable precise water and pesticide spraying, reducing wastage and improving yield. Details: https://slam-bot.vercel.app/ Demo: https://youtu.be/H8ORclJZ9AE