Aquasentinel: An IoT-Enabled Smart Hydroponic Farming System for Optimized Crop Growth and Resource Efficiency

Abstract

The present invention relates to an Aquasentinel: An IoT-Enabled Smart Hydroponic Farming System for Optimized Crop Growth and Resource Efficiency. Aquasentinel is an IoT-based hydroponic farming system designed to enhance crop growth and resource efficiency. Integrating sensors, automation, and machine learning, the system monitors and controls environmental parameters, ensuring optimal conditions for plant growth. The system includes real-time monitoring, predictive analytics, and automation for tasks like pruning and watering. Aquasentinel offers farmers remote access to system data and controls through a mobile or web application, enabling efficient, sustainable, and data-driven farming practices. Accompanied Drawing [FIG. 1]

Specification

Description:[001] This invention pertains to the field of agricultural technology, specifically to hydroponic farming systems enhanced with Internet of Things (IoT) connectivity and machine learning for crop monitoring, growth optimization, and resource efficiency. The Aquasentinel system integrates real-time environmental sensors, automation controls, data analytics, and predictive algorithms, providing farmers with a smart, data-driven approach to hydroponic cultivation.
BACKGROUND OF THE INVENTION
[002] The following description provides the information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[003] Hydroponic farming, the practice of growing plants in nutrient-rich water instead of soil, has gained popularity due to its water-saving properties and potential for high-yield, high-quality crop producti , Claims:1. An IoT-enabled hydroponic farming system, comprising:
• A hydroponic chamber with a nutrient solution for growing plants without soil.
• A sensor array including temperature, humidity, pH, nutrient, and light intensity sensors for monitoring environmental conditions.
• Actuators and automation controls to regulate nutrient delivery, water flow, temperature, and humidity based on sensor data.
• An IoT module for real-time data transmission and remote control via a mobile or web application.
2. The system of claim 1, further comprising machine learning algorithms that analyze sensor data to predict nutrient deficiencies, detect potential diseases, and optimize nutrient delivery.
3. The system of claim 1, wherein the sensor array provides continuous monitoring of environmental parameters, generating alerts if any parameter deviates from optimal ranges.
4. The system of claim 1, wherein the actuators automate tasks such as pruning, watering, and harvesting, reducing the need for manual labor.
5. The system of

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