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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 13 Issue: 02 | Feb 2026

p-ISSN: 2395-0072

www.irjet.net

Cloud Based Real Time System for Soil testing and Crop Management – A Design Methodology Shishir A. Bagal1, Ajay Shahare2, Sakshi Shinde3, Shubham Borikar4, Harshal Ghatbandhe5 1Assistant Professor, Department of Electronics & Tele. Engineering, KDK College of Engineering, Nagpur

(Maharashtra), India

2Final Year Student, Department of Electronics & Tele. Engineering, KDK College of Engineering, Nagpur

(Maharashtra), India

3Final Year Student, Department of Electronics & Tele. Engineering, KDK College of Engineering, Nagpur

(Maharashtra), India

4Final Year Student, Department of Electronics & Tele. Engineering, KDK College of Engineering, Nagpur

(Maharashtra), India

5Final Year Student, Department of Electronics & Tele. Engineering, KDK College of Engineering, Nagpur

(Maharashtra), India -------------------------------------------------------------------------***----------------------------------------------------------------------1. INTRODUCTION Abstract - Modern farming is becoming smarter, and the core goal of this project is to give farmers a powerful, cloud-based tool to make that shift easy and effective. Think of this system as a dedicated, digital assistant for the soil itself.

The future of agriculture demands a decisive shift away from traditional, intuition-based farming practices toward data-driven and technology-enabled solutions [1]. Global challenges such as increasing food demand, shrinking cultivable land, climate change, soil erosion, and nutrient depletion are placing immense pressure on existing agricultural systems. Conventional farming methods, which often rely on experience, manual observation, and periodic soil testing, are no longer sufficient to handle modern challenges such as unpredictable rainfall, prolonged droughts, pest infestations, uneven crop yields, and inefficient use of water and fertilizers [2] . These issues not only reduce productivity but also threaten long-term soil health and environmental sustainability [3].

Farmers today need precise, minute-by-minute insights, not guesswork. That's why we're planting smart sensors directly in the fields. These sensors are constantly checking the soil's vital signs: its moisture level, temperature, pH balance, and key nutrients. This real-time data is instantly beamed up to the cloud. Once there, clever software analyzes everything, transforming raw numbers into clear, actionable advice. Suddenly, farmers have the power to make perfectly informed decisions: they know exactly what crop to plant, the precise moment to turn on the irrigation, how much water is truly needed, and the minimum amount of fertilizer required for a healthy yield.

To address these challenges, this project proposes a cloud-based, real-time soil monitoring and crop management platform that functions as a digital assistant for farmers. The system is designed to provide continuous, accurate, and actionable insights into soil and environmental conditions, enabling informed decision-making at every stage of crop cultivation [4]. By integrating Internet of Things (IoT) technologies, cloud computing, and machine learning, the platform transforms raw field data into meaningful recommendations that support precision agriculture [5].

The system is also proactive. If a condition suddenly goes wrong—say, the soil dries out too quickly or the pH balance swings wildly—the farmer gets an instant alert right on their phone or tablet. This guarantees they can fix a problem before it hurts the crop. Ultimately, this isn't just about high-tech gadgets; it's about sustainability and efficiency. By using water and fertilizer only when and where it's

At the core of the system is a network of IoT-based sensors deployed directly in agricultural fields. These sensors continuously measure critical soil and environmental parameters, including soil moisture, temperature, electrical conductivity, and essential macronutrients such as nitrogen (N), phosphorus (P), and potassium (K) [6]. Additional parameters such as humidity and weather-related data are incorporated through external weather APIs. Together, these measurements provide a high-resolution, real-time view

absolutely necessary, the system saves the farmer money, cuts down on tedious manual testing, and protects the environment from unnecessary waste. By collecting and storing years of soil history, it also helps farmers learn and improve their methods season after season. Keywords: Crop prediction, Wi-Fi Module (ESP32), NPK Sensor, Moisture Sensor, DHT-11 Sensor.

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