Description:Field of Invention
This invention relates to the field of agricultural automation and, more specifically, to systems that integrate voice assistant technology with Arduino microcontrollers to automate and control irrigation and lighting equipment in farming environments.
Objective of the Invention
The primary objective of the invention is to develop a system that utilizes a voice assistant in conjunction with an Arduino microcontroller to control water pumps and lighting systems in agricultural settings. This integration aims to simplify farm management, reduce manual effort, and enable real-time automation based on sensor feedback.
Background of the Invention
US9431014B2 The use and accessibility of computer-based personal assistants and other speech-interactive computing systems have expanded as a result of recent developments in computing systems' capacity to recognize and comprehend human speech. Specifically, some "smart" appliances are starting to have sophisticated capabilities that may react to voice commands from users. For instance, an appliance can respond to a spoken command by using a speaker and/or digital display, or it can carry out a specified activity or operation.
However, from the standpoint of the user, the growing number of these feature-rich appliances may unnecessarily make it more difficult to operate a single appliance in a space like a kitchen where there are many of them. For instance, several smart appliances may recognize a voice command from a user and try to react at the same time. As a result, a command meant for a single appliance can cause several appliances to respond, necessitating more work on the part of the user to correct the unexpected results. Furthermore, different appliances can have different smart characteristics. The user might not be aware of each appliance's specific capabilities, though. As a result, the user might not know which appliance to use when executing a specific command or request.
KR20230102918A Bluetooth Hybrid Topology Smart Farming System with Edge and Cloud Computing .In particular, the parameters for plant cultivation and crop recipes are stored in the cloud, and temperature and humidity are stored in accordance with the crop recipe. This invention pertains to an edge cloud computing-based smart farm system and operation method using Bluetooth hybrid topology. It offers smart farm technology that uses edge cloud computing to automatically regulate lights. The following contents do not constitute prior art; rather, they are background information pertaining to the current embodiment.
Ericsson was the first company to design Bluetooth, an industry standard for personal short-range wireless communication for digital communication devices. Personal computers, mobile phones, tablets, and smartphones all use Bluetooth, a mouse and keyboard that defines a short-distance data communication mechanism between electronic devices using short-wave UHF radio waves of 2.4 to 2.485 GHz contained in the ISM band. It is used to communicate wirelessly at a somewhat slow speed in order to exchange speech and text data in a speaker or similar device. Through the use of radio waves, Bluetooth allows devices that are several meters to tens of meters apart to share basic information.
Conversely, an intelligent farm is produced via the application of information and communication technology (ICT) in the field of agriculture. Smart Farm measures and analyses the temperature, humidity, sunlight, carbon dioxide, soil, and other factors of crop cultivation facilities using IoT (Internet of Things) technology. Based on the results of the analysis, control devices are triggered to adjust to the proper conditions. Additionally, a mobile device, such a smartphone, can be used for remote management. During the whole agricultural production, distribution, and consumption process, smart farms can generate significant added value through increased productivity, efficiency, and quality. Bluetooth and other short-distance wireless communication technologies have been popular in smart farms and similar applications in recent years.
"Method and system for processing sensor data using mesh network in smart farm for outdoor use" is the registered patent number 2236014 in Korean Patent Publication No. 2021-0143029 "Smart Farm Control System Using LoRa Network"
CN116868746A The current irrigation and fertilization control technology (invention patent with publication number CN108848845A) reveals an intelligent cloud-based irrigation and fertilization system that consists of an irrigation and fertilization module, a data collection module, a control module, and a cloud service system. The irrigation and fertilization module supplies the water and fertilizer needed for crop growth on farmland, while the data collection module tracks and monitors the local plant growth environment data in real time, cleans the abnormal data, and then gathers the available plant growth environment data.
The data is transmitted to the control module, which then uses it to send the data to the cloud service system and receive the data acquisition module for real-time monitoring and tracking of the plant growth environment data in the field. It simultaneously gets commands from the cloud service system to activate or deactivate the electromagnetic valve and water pump. The current technology is unable to precisely apply fertilizer in accordance with the current circumstances of the agriculture and cannot address the issues of inaccurate and delayed irrigation and fertilization during implementation.
In order to address at least one of the technical issues in the prior art, the current invention suggests a data-driven intelligent irrigation and fertilization control system that can address the issues of inaccurate and delayed fertilization and irrigation in the current solution. In addition, it has the ability to precisely administer fertilizer based on the farmland's current circumstances.
A data collecting module, a data processing module, a data analysis module, and an irrigation distribution module comprise the first aspect of the invention, which offers an intelligent irrigation and fertilization control system based on data analysis to accomplish the aforementioned goals; Through the data acquisition device, the data acquisition module gathers the farmland's water level height, soil moisture content, and soil nutrient content at any given time and sends them to the data processing module; To get accurate data, the data processing module analyses the gathered farmland's soil moisture, nutrient content, and water level height. The accuracy data include information on soil moisture, soil nutrient content, and water level height.
CN117905702A The plan explains the significance of conserving water in irrigation areas and suggests pertinent actions to encourage the modernization of irrigation districts. Among them, the creation of intelligent irrigation and the substitution of sprinklers for conventional floods can not only increase irrigation effectiveness and cut down on water waste, but also lessen the loss of nitrogen and phosphorus in irrigation zones and lessen environmental hazards.
According to current technology, the smart sprinkler irrigation system's main water supply component is the jet self-priming pump. For the irrigation system to be upgraded, its functionality and stability are crucial. The standard self-priming centrifugal pump is not the same as the jet self-priming pump. It is positioned parallel to the impeller inlet and features an independent ejector construction made up of a nozzle and a nozzle. In order to achieve the self-priming function, it uses the special structure of a centrifugal impeller-radial guide vane-ejector. The pressurized water first creates a vacuum through the nozzle, after which the low water level liquid is drawn into the pump inlet and released through the pump booster.
On the other hand, the head of jet self-priming pumps frequently reaches tens of meters or more. It is necessary to increase operating efficiency and working time if the self-priming time is very long at the rated speed. A smart jet self-priming pump with high self-priming performance is developed to address the issue of the current jet self-priming pump 2's lengthy self-priming time and decreased operating efficiency under rated working circumstances.

Summary of the Invention
The invention focuses on simplifying farming tasks through the integration of modern voice assistant technology with Arduino boards. Utilizing a voice assistant for the management of farming activity has great promise to make farming tasks and processes less painful and more efficient. We need to focus on making the technology accessible to all farmers, providing accurate and easy to understand information about farming practices through the system, and addressing any potential limitations such as internet connectivity in rural regions to properly manage the solution. In doing so we can help farmers globally manage their farm efficiently, and increase their productivity using a more user-friendly solution.

Detailed Description of the Invention
Changing Agriculture with Voice Commands introduces new farming automation system that pairs the simplicity, accessibility, and minimalism of voice commands with the functionality of embedded micro-controllers specifically with the Arduino platform. The goal is to change the way traditional farming tasks like irrigation and lighting are produced and achieved in real time via natural language voice interfaces. By utilizing existing and inexpensive technology components, it allows even non-technical farmers in remote and resource limited settings to modernize and efficiently conduct farming practices.
The invention takes the form of a multi-component ecosystem, consisting of a voice assistant interface, a Bluetooth communications-module,an Arduino micro-controller, a selection of environmental sensors, an actuators (water pumps), and LED lights. The voice assistant, which has been developed with a Python based voice recognition interface, allows for primary user interaction layer, which allows farmers to control their system using voice commands. Utilizing Bluetooth communication, the voice assistant communicates wirelessly to the Arduino microcontroller to relay commands and receive status updates without being connected to the internet. The use of Bluetooth communication technology is especially important in agricultural areas where the internet infrastructure is unreliable, or conceivably does not exist at all.
The Arduino microcontroller was chosen for its functionality as the active controller within the system, continuously reading soil moisture sensors, temperature sensors, and light sensors to detect environmental conditions within the farming field. This diverse range of sensors provides the microcontroller with essential real-time information about the environment. The microcontroller uses the data it receives from the environmental sensors to decide when it should provide the signal to start the water pump or if it should change the heat given by the lamp. For example, I have predefined the threshold values of each sensor in the microcontroller for the level that should automatically provide external input, without human assistance. For an example, when the soil moisture sensor detects a soil moisture level below the pre-defined threshold, it will automatically start the process of activating the water pump to irrigate the soil.
The voice assistant enhances the potential of the entirety of the system, allowing flexibility and control remotely - the voice assistant listens for specific commands such as "Turn on the motor," or "Turn on the lights," translates that into digital commands and sends the digital commands via Bluetooth to the Arduino board. After it successfully executes the command, it confirms with audio confirmation, thus completing the feedback loop in providing the user assurance the correct execution was performed. A two-way communication protocol increases user trust when using the system and is more intuitive and transparent.
The voice interface is designed to be accessible and easy to use by understanding native languages and facilitating a multilingual platform for farmers of different languages. In addition, the whole hardware architecture is low-cost, modular and therefore deployable on small farms with little investment. The system components—Arduino Uno board, water motor, power supply, Bluetooth receiver, microphone, and speaker—can be obtained easily and installed without technical expertise. The software side is equally simple, using Python and simple logic to help easy maintenance and future extensions.
The main advantage of this invention is its use in "real-world" agricultural situations whereby their farming is limited by timing, labor and inconsistent electricity. Farmers, in most villages, experience nighttime electricity access only, having to wake-up early and operate water pumps manually. Farmers can use the benefits of this system, by issuing a voice command to initiate the motor from the comfort of their own house or another place far away. This will improve their quality of life and can have easy access to having the crops irrigated in a timely manner. The system helps reduce human fatigue and allows for timely activities in agronomy practice.
Additionally, this system also provides intelligent automation via mixed control. While voice commands are an interface for manual control, the sensors will enable the system to run on its own when necessary. The system will always have a dual-mode of operation, providing redundancy, and reliability. In the event there was a breakdown in the network for instance, or the user was not available to give commands, the system would be able to operate independently to maintain the optimal soil and lighting conditions for plant growth. The logic that is embedded on the Arduino can be configured too for different crops types enabling farmers to programmed the thresholds according to their agricultural needs.
The other amazing feature of this system is power flexibility. It can be powered using standard AC batteries or solar panels, giving it the ability to be used in both grid-tied (on-grid) and standalone (off-grid) situations. This flexibility as a type of environmental and sustainable agriculture is meant to minimize our reliance on fossil fuels and take advantage of renewable energy options. The system also can data log and store environmental readings and usage history for analysis; allowing for improvement in farming practices as well as better utilization of available resources.
The invention occupies the space above low-cost agricultural technologies, and below high-cost commercial agricultural technologies in the precision farming/smart agriculture space. It offers the user a simple interface to allow for the effective management of what can be very complicated agricultural processes, without the need for extensive technical knowledge, and without having to invest massive amounts of capital. It logo levels the playing field for smart farming technologies, and provides farmers with the tools to optimize their operations based on new data in real-time. Precision irrigation, integrated with the soil moisture feedback, conserves water by only using it when necessary, and only by the amount needed. This type of optimization, conserves a precious resource and limits waste. Automated lighting based on harvest schedules, energy needs, and market conditions will assist the operator with energy consumption to decrease overall energy use and extends crop cycles in controlled environments.
The security and reliability are important concerns also addressed in the system design process. The voice assistant employs password authentication at the entry point for the potential user, ensuring only users that have access will be able to use the control interface. The command processing module has error-handling routines built in to check for invalid inputs as a means to prevent unwanted operations. In addition, the serial communication with Bluetooth lends to reliability and more resistance from interference from other devices during the transfer of commands from the assistant to the Arduino board.
From a development perspective, the project provides a great platform of adventure and creativity for students, researchers and hobbyists to investigate the synergy of voice interfaces, microcontroller programming and applications in agriculture. The open source platform for the project continues to evolve and also allows for endless reconfiguration and improvement for the project. For example, it would be easy for users to add features like scheduling commands, environmental data visualizations and weather forecasts and connect to some sort of cloud based platform.
Overall, the invention represents a confluence of automation, accessibility, sustainability, and usability. It recognizes the realities of the very real practical challenges facing farmers, and responds to them with a solution that is both technically possible and economically viable. This system will reduce physical labor associated with farming, reduce the time spent making decisions, and increase the use of resources. Its utility has the potential for significant influence, especially where traditional farming underpins economic activity and modernization in farming practices is limited first by technology and then by money.
The invention also sets up a path toward future improvements. For example, system responsiveness could be enhanced with 5G and edge computing; voice recognition ability could be improved with Artificial Intelligence that could provide multi-step commands or context-sensitive answers; and information could be accessed in real-time using wearable technology, such as smartwatches or AR goggles, that engaged the user interface fully and permitted the user to engage the system while physically farming hands-free in the field. Additionally, the system could enable machine to machine communication and have the capability to have multiple machines working together on overlapping agricultural blocks of work.
In conclusion, "Speak and Sow" provides a novel yet practical approach to smart farming, utilizing voice commands and embedded systems to modernize important agricultural tasks. The approach enhances day to day convenience for farmers and ultimately encourages sustainable and data-informed farming practices. The systems central focus is on scalability, affordability, and usability, and as such they have the potential to change farming landscapes across the world to be more efficient, more resilient and more inclusive.
7 Claims & 3 Figures

Brief description of Drawing
In the figure which is illustrate exemplary embodiments of the invention.
Figure 1. Circuit diagram of Speak and Sow
Figure 2. After giving light on command through Voice Assistant
Figure 3. After giving motor on command through Voice Assistant
Detailed description of drawing
Figure 1 illustrates a simplified and effective voice-controlled smart farming system based on an Arduino board. The entire system is centered around the voice Assistant (1), which the user can say commands such as "turn water pump on" or "turn off the light", and sends the voice commands through the Bluetooth Module (2) to the Arduino board. The Arduino acts as the CPU and interprets the voice commands to interact with various sensors and devices connected to it. The system contains a soil moisture sensor (4) designed to track soil conditions by measuring the moisture in the soil in real-time. When the soil is determined to be too dry, the Arduino activates the water pump (5) to allow for micro-irrigation without requiring the farmer to initiate any manual actions. For lighting control, the system uses a Light Dependent Resistor (LDR) to detect light levels. When ambient light levels decrease, the Arduino will turn on an LED (3) to provide plants with artificial grow light. The LCD screen displays (6) all the real-time data such as the current soil moisture level, light levels, and device statuses so the user can easily see, monitor, and control the farming environment. The automated smart farm is accessible to the user through voice control and sensor input. Overall, the system improves agricultural productivity by allowing the intelligent farming system to function without constant human input. The system allows the intelligent farm to determine when to provide irrigation or lighting to ensure plants are given the best growing conditions while enabling the user to control the system away from the farm with basic voice commands. The integration of basic electronics and automation demonstrates how technology can simplify and modernize traditional farming methods.
Figure 2 illustrates the system state after receiving a distinct voice command to turn on the lighting system- typically performed by using a phrase similar to, "Light On." Upon this command, the voice-enabled assistant takes the verbal input, processes the voice data, and then sends a Bluetooth message to the Arduino micro-controller. After the Arduino input, understands that a command has been executed, it will turn on the circuit that is connected to the LED lights to power the area specified in the user's request for illumination because it could be a field, greenhouse, or storing crops. This capability is especially useful for farmers working in dimly lit environments or needing to get tasks done when it is dark. Once again, Figure 3 communicates the changes in system status as the lighting system was actuated by the valid voice control command. In the previous state, the LED light module was off, but in this new state, the LED lights are on, providing greater visibility and enabling continued farm-related activities. Once again, there is an auditory feedback for the user communicated through the system, therefore visually completing the cycle of interaction, and providing a natural interface for user control. This illustration reaffirms the dual-use of the system to control two tasks of irrigation and lighting in separate commands or multiple commands through natural language.
Figure 3 depicts the state of the system just after a user provides the voice-activated command to initiate the water pump, usually something like "Motor On" or similar verbal command. When the voice command is detected and understood, the voice assistant records the command, processes the command and sends the corresponding digital signal via Bluetooth to the Arduino board. The micro-controller can then activate the water pump connected to the actuator circuit. It is now actively irrigating and applying water to the crops or to the specified soil area. This figure demonstrates the transitional state when the launch, or voice command option, is engaged, verifying it is now on an active irrigation state rather than default passive monitoring. The Bluetooth communication signal exists between the voice assistant and an Arduino indicating commanded in real-time over a wireless transmission line. We also see the feedback loop for notifying that the command has been made, which enables an audio notification to be made to the user about the state of the water pump activation. This dynamic of a voice dialogue demonstrates the system's responsiveness to voice input and command opportunities and supports timely and purposeful agricultural operations. , Claims:The scope of the invention is defined by the following claims:
Claims:
1. Speak And Sow: Transforming Farming Practices with Voice Commands system comprising:
a) A voice assistant that can receive and carry out verbal commands and a Bluetooth module to provide wireless communication.
c) An Arduino micro-controller interfaced with sensors and actuators and s soil moisture sensor to determine if irrigation is needed.
e) A set of actuators, a water pump, and LED lights with a feedback loop to let the user know their input was acted on.
2. As mentioned in claim 1, wherein the voice assistant recognizes voice commands and converts the voice commands into digital commands. The Bluetooth module transmits the commands from the voice assistant to the Arduino.
3. As mentioned in claim 1, wherein the Arduino receives data from the sensors and controls devices based on the data it receives. The soil moisture sensor examines how wet the soil is, and then sends the information back to the Arduino and the Arduino controls a water pump and LED lights based on sensor data or by voice command.