Title of the Invention Smart Automated Hydroponic Farming System

Technical Field to Which the Invention Relates This invention relates to the field of agriculture, specifically to hydroponic farming systems enhanced with smart automation and monitoring technologies.

Purpose of the Invention The purpose of this invention is to create a highly efficient, automated hydroponic farming system that optimizes plant growth, reduces resource consumption, and maximizes crop yield through the use of smart sensors, artificial intelligence, and precision control mechanisms.

State of the Prior Art Current hydroponic systems often require significant manual intervention and lack advanced automation. Existing solutions may not fully integrate real-time data analysis, machine learning, and precise environmental control. This invention aims to address these limitations by introducing a comprehensive smart system for hydroponic farming.

Description of the Figures Figure 1: Overall system architecture Figure 2: Sensor array and data collection subsystem Figure 3: Nutrient delivery and pH balancing mechanism Figure 4: Environmental control unit Figure 5: User interface and remote monitoring application

Presentation of the Invention and Modes of Realization The smart hydroponic farm system comprises:

An array of sensors monitoring various parameters (pH, EC, temperature, humidity, light intensity, etc.)
A central control unit with AI capabilities for data analysis and decision-making
Automated nutrient delivery and pH balancing systems
Precision environmental control mechanisms (lighting, temperature, CO2 levels)
Water recirculation and filtration system
Remote monitoring and control capabilities via smartphone app
The system operates by continuously collecting data, analyzing growth conditions, and automatically adjusting parameters to maintain optimal growing conditions for various crop types.

Claims

A smart hydroponic farming system comprising sensors, a central control unit, automated nutrient delivery, and environmental control mechanisms.
The system of claim 1, wherein the central control unit utilizes artificial intelligence for data analysis and decision-making.
The system of claim 1, further comprising a water recirculation and filtration system.
The system of claim 1, wherein the environmental control mechanisms include precision control of lighting, temperature, and CO2 levels.
The system of claim 1, further comprising a remote monitoring and control application for smartphones.
A method for optimizing plant growth in a hydroponic system using real-time data analysis and automated adjustments of growing conditions.
Abstract A smart automated hydroponic farming system is presented, integrating advanced sensors, artificial intelligence, and precision control mechanisms to optimize plant growth and crop yield. The system continuously monitors various environmental parameters and plant health indicators, using this data to make real-time adjustments to nutrient delivery, pH levels, lighting, temperature, and other critical factors. A central control unit employs machine learning algorithms to analyze data trends and predict optimal growing conditions for different crop types. The system includes automated mechanisms for maintaining ideal nutrient concentrations and pH levels, as well as precise environmental controls for lighting, temperature, and CO2 levels. A water recirculation and filtration system minimizes water usage, while a user-friendly smartphone application allows for remote monitoring and control. This innovative system significantly reduces manual intervention, improves resource efficiency, and maximizes crop output in hydroponic farming operations.    ترجم الى العربية