Description:FIELD OF THE INVENTION
This invention relates to smart iot based greenhouse automation system with real time monitoring and control with alerts and real-time.
BACKGROUND OF THE INVENTION
Greenhouse farming is essential for improving crop yields and ensuring year-round cultivation. However, traditional greenhouse management relies on manual monitoring, leading to inefficiencies in resource utilization, increased labor costs, and potential crop damage due to delayed responses. Critical factors such as temperature, humidity, soil moisture, and light intensity must be continuously monitored and adjusted for optimal plant growth. The absence of an automated, real-time control system makes greenhouse management challenging, especially for large-scale farms.
This project aims to develop a Smart IoT-Based Greenhouse Automation System with real-time monitoring, automated control, and remote alerts using IoT technology. The system integrates various sensors with ESP32 and Arduino Uno to track environmental parameters and control devices like water pumps, fans, and lights. Data is transmitted via LoRa and GSM modules to provide remote alerts, ensuring timely intervention and efficient resource utilization. The solution enhances productivity, minimizes manual effort, and supports sustainable agriculture.
Feature Previous Work Proposed Solution
Communication Method Wi-Fi or Bluetooth (short-range) LoRa (long-range) & GSM alerts
Automation Level Limited or semi-automated Fully automated monitoring & control
Data Transmission Short-distance, limited range Long-range (LoRa up to 1km) & real-time alerts
Remote Monitoring Often requires a local connection GSM-based SMS alerts & mobile monitoring
Scalability Difficult to scale for large greenhouses Easily scalable with modular integration

SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
The Smart IoT-Based Greenhouse Automation System is designed to optimize plant growth by providing real-time monitoring and automated control over essential environmental factors. It employs ESP32 and Arduino Uno as the core processing units, interfacing with various sensors to measure temperature, humidity, soil moisture, and light intensity. The collected data is transmitted wirelessly using LoRa technology, ensuring seamless communication over long distances. The system automatically controls actuators such as water pumps, exhaust fans, and LED lights to maintain optimal conditions. Additionally, a GSM module sends real-time alerts to farmers, enabling remote monitoring and quick response to critical changes in greenhouse conditions.
This invention significantly enhances agricultural productivity by reducing manual intervention and improving resource efficiency. Unlike conventional greenhouse management systems, which require frequent human supervision, this IoT-driven approach offers energy-efficient automation with remote access capabilities. The system can be expanded to incorporate AI-based predictive analytics, enabling proactive decision-making for better crop management. By integrating cost-effective sensors and open-source hardware, the proposed solution provides a scalable and affordable alternative for modern greenhouse automation.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
FIGURE 1: SYSTEM ARCHITECTURE
FIGURE 2: BLOCK DIAGRAM
FIGURE 3: PERSPECTIVE VIEW
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The Smart IoT-Based Greenhouse Automation System is designed to optimize plant growth by providing real-time monitoring and automated control over essential environmental factors. It employs ESP32 and Arduino Uno as the core processing units, interfacing with various sensors to measure temperature, humidity, soil moisture, and light intensity. The collected data is transmitted wirelessly using LoRa technology, ensuring seamless communication over long distances. The system automatically controls actuators such as water pumps, exhaust fans, and LED lights to maintain optimal conditions. Additionally, a GSM module sends real-time alerts to farmers, enabling remote monitoring and quick response to critical changes in greenhouse conditions.
This invention significantly enhances agricultural productivity by reducing manual intervention and improving resource efficiency. Unlike conventional greenhouse management systems, which require frequent human supervision, this IoT-driven approach offers energy-efficient automation with remote access capabilities. The system can be expanded to incorporate AI-based predictive analytics, enabling proactive decision-making for better crop management. By integrating cost-effective sensors and open-source hardware, the proposed solution provides a scalable and affordable alternative for modern greenhouse automation.
The Smart IoT-Based Greenhouse Automation System is designed to maximize plant growth by offering real-time monitoring and automated control over important environmental parameters. It employs ESP32 and Arduino Uno as the core processing units, interacting with numerous sensors to measure temperature, humidity, soil moisture, and light intensity. LoRa technology is used to wirelessly transfer the gathered data, guaranteeing smooth connection over great distances. To maintain ideal conditions, the system automatically regulates actuators including exhaust fans, water pumps, and LED lights. Furthermore, a GSM module allows for remote monitoring and prompt reaction to significant changes in greenhouse conditions by sending farmers real-time alerts.
By decreasing manual intervention and increasing resource efficiency, this invention dramatically raises agricultural productivity. This IoT-driven method offers energy-efficient automation with remote access capabilities, in contrast to traditional greenhouse management systems that need constant human supervision. The system can be upgraded to incorporate AI-based predictive analytics, enabling proactive decision-making for better crop management. The suggested technique offers a scalable and reasonably priced substitute for contemporary greenhouse automation by combining inexpensive sensors with open-source technology.
This control unit collects all the details regarding the plant growth, consisting of moisture, temperature and light sensor with a mini water tank attached for supplying sufficient amount of water to plants. The whole controlling system is having a power supply of 5V. Bulb is present in the controlling unit for providing enough light for the plants and a mini fan for controlling the temperature. We have created a cloud for storing all the details about the growth of plants. And have developed an android application for monitoring the greenhouse and controlling the environment inside the greenhouse.
NOVELTY:
The proposed system integrates LoRa-based long-range communication with GSM-enabled real-time alerts, providing automated, energy-efficient greenhouse control. Unlike conventional systems, it offers scalable, remote monitoring with AI-driven predictive analysis for improved crop management.
ADVANTAGES OF THE INVENTION
1. Automated Monitoring & Control - The system continuously monitors greenhouse conditions and automates control operations to reduce manual intervention.
2. LoRa technology provides data transfer over larger distances than traditional Wi-Fi solutions.
3. Real-Time Alerts: GSM-based notifications alert users to critical conditions, enabling timely intervention even when off-site.
4. Energy Efficiency: The system optimizes the use of resources like water and electricity, lowering operational costs.
5. Scalability: Suitable for both small and big greenhouses with minimum adjustments.
, Claims:1) A Smart IoT-Based Greenhouse Automation System for real-time monitoring and control of environmental parameters to optimize plant growth, comprising:
a control unit comprising ESP32 and Arduino Uno microcontrollers;
one or more sensors for detecting temperature, humidity, soil moisture, and light intensity;
a wireless communication module using LoRa technology for transmitting data over long distances;
one or more actuators selected from a group consisting of water pumps, exhaust fans, and LED lights for automatic regulation of greenhouse conditions;
a GSM module configured to send real-time alerts to users based on critical changes in environmental parameters; and
a power supply providing 5V for system operation,
wherein the system performs real-time monitoring, automated control, and remote alert generation to reduce manual intervention and enhance agricultural productivity.
2) The system as claimed in claim 1, wherein the data collected by the sensors is transmitted to a cloud-based storage system for maintaining records related to plant growth and environmental conditions.
3) The system as claimed in claim 1, wherein the control unit is configured to interface with a mini water tank that supplies water to plants based on soil moisture levels detected by the soil moisture sensor.
4) The system as claimed in claim 1, wherein the LED light provides artificial illumination for plant growth when natural light intensity is insufficient.

5) The system as claimed in claim 1, wherein the exhaust fan regulates internal temperature of the greenhouse based on temperature sensor readings.
6) The system as claimed in claim 1, wherein an Android application is developed to remotely monitor environmental parameters and manually control actuators within the greenhouse.
7) The system as claimed in claim 1, wherein the system is capable of being upgraded with AI-based predictive analytics to enable proactive decision-making in crop management.
8) The system as claimed in claim 1, wherein the sensors and hardware components are selected from cost-effective and open-source options to ensure scalability and affordability.