Description:FIELD OF THE INVENTION
This invention relates to AI-Enabled Autonomous Soil Sampling Device Utilizing LoRa Network Technology to Enhanced Agricultural Productivity.
BACKGROUND OF THE INVENTION
The Central Mote and the Automated Soil Sampler Mote are the two main components of this creative approach. In the former, components like the Raspberry Pi Pico, a LoRa transmitter, and a number of very accurate sensors are integrated to gather crucial soil metrics like pH, NPK levels, and temperature. The Central Mote receives these collected data points once they have been wirelessly delivered. By giving farmers immediate and informed insights to influence their decisions, this development completely changes the landscape of data-driven decision-making in agriculture. The next sections provide a thorough examination of the intricate operating details and extensive design features of this ground-breaking AI-driven soil sampling device.
Modern agriculture must produce maximum agricultural yields while efficiently utilizing the available resources, which is a substantial challenge. Traditional soil analysis techniques usually take a long time, which frequently leads to poor resource allocation and decision-making. The application of precise crop management methods is further complicated by the slow and inaccurate understanding of soil conditions. Farmers lack useful information as a result of the lack of fast, crop-specific suggestions that can adjust to changing conditions. This creative method is designed to autonomously collect thorough soil data, encompassing elements like pH levels, nutrient composition (NPK), and temperature, in order to tackle these difficulties head-on. Following data collection, this data is wirelessly sent, analyzed, and real-time suggestions are created using AI algorithms.
US11460378B2 An autonomous soil sampling device. The device including a vehicle for generally autonomously navigating a given area for sampling and adapted with systems to generally avoid obstacles during maneuvering. The device including a soil sampling system designed for placement on a platform of the vehicle and including an extraction arm having a probe and auger to probe into the soil for extracting a quantity of soil. The extraction arm received on a housing and including a pair of rails to enable movement of the probe and auger and a collection bucket for depositing the quantity of extracted soil into a packaging assembly for collection, labeling, and storage of the individual samples.
RESEARCH GAP: Soil Sampler with Lora RF connectivity is the novelty of the system.
US10801927B2 An autonomous soil sampling device. The device including a vehicle for generally autonomously navigating a given area for sampling and adapted with systems to generally avoid obstacles during maneuvering. The device including a soil sampling system designed for placement on a platform of the vehicle and including an extraction arm having a probe and auger to probe into the soil for extracting a quantity of soil. The extraction arm rotationally received on a housing and movable to an inverted position for depositing the quantity of extracted soil into a packaging assembly for collection, labeling, and storage of the individual samples.
RESEARCH GAP: Soil Sampler with Lora RF connectivity is the novelty of the system.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. This invention relates to AI-Enabled Autonomous Soil Sampling Device Utilizing LoRa Network Technology to Enhanced Agricultural Productivity.
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 Automated Soil Sampler Mote's startup step marks the start of operation. Configuring a number of sensors, including those for pH, NPK levels, and temperature, is a vital step. These sensors are necessary to gather important soil data. To enable seamless wireless communication with the Central Mote, the LoRa transceiver module is then turned on. The soil sampling apparatus is simultaneously ready to facilitate effective soil sample collecting. In order to improve user engagement and enable input, the device's user interface components, such as the keypad and touch display, are also initialized. The device now awaits user input, prompting the specification of specific crop kinds and other pertinent settings when startup is complete.
The Automated Soil Sampler Mote connects to the Central Mote via the LoRa transceiver, enabling wireless transfer of the assembled data—which includes soil measurements and crop parameters—for additional processing. The effective and trustworthy transport of data is ensured by the use of the LoRa communication technology. The gadget then goes into a waiting mode while it waits for the Central Mote to respond. The system can be designed to start a retransmission if no acknowledgement is received within the predetermined interval or to conduct the appropriate error-handling steps. The Central Mote uses AI and machine learning to analyze the sent data after it has been processed to produce individualized recommendations and insights. The Automated Soil Sampler Mote then receives these insights, which are tailored to certain soil types and crop kinds. On its touch display, the gadget visibly displays the collected results and AI-generated suggestions, giving users easily accessible information to guide crop management choices based on real-time soil data. The Central Mote's startup step kicks off its operating sequence. During this phase, the GSM modem is turned on to establish contact with cloud servers, and the LoRa transceiver module is prepared for wireless communication. The Raspberry Pi Pico, a crucial part for data processing, is started concurrently. Once ready, the Central Mote may connect to the Automated Soil Sampler Mote and communicate with it via the LoRa network. The Automated Soil Sampler Mote transmits bundled soil data and crop characteristics, which it receives. This data set includes important details on the type of crop being grown and the nature of the soil. The Central Mote's next goal is to safely send the data to a cloud-based server for in-depth analysis now that it has the data available. It is essential to maintain data integrity throughout transmission in order to retain the reliability of the conclusions that will be drawn. The cloud-based server analyzes data using cutting-edge AI and machine learning methods. Using this study, ideas and insights that may be put into practice to improve crop management tactics are derived. These observations take into account a number of elements, such as soil characteristics, crop requirements, and environmental variables, and provide farmers with specific and pertinent advice. The Central Mote then bundles these AI-driven recommendations for transmission back to the Automated Soil Sampler Mote. The ideas are sent back to the Automated Soil Sampler Mote through the restoration of the LoRa communication channel, providing instant response. If appropriate, the Central Mote can provide the AI-generated ideas that it has received on its interface, allowing users to get insights right away and improving the system's usability. Interaction between the Central Mote and cloud-based repositories, where processed data and AI-generated proposals are safely kept, is a crucial part of this process. By enabling historical analysis and retrieval, this storage promotes reference and informed decisions. In order to accommodate subsequent soil samples, the Central Mote returns to the communication stage after finishing the processing cycle for one set of data, ready to handle the next batch of data from the Automated Soil Sampler Mote.
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
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 Automated Soil Sampler Mote's startup step marks the start of operation. Configuring a number of sensors, including those for pH, NPK levels, and temperature, is a vital step. These sensors are necessary to gather important soil data. To enable seamless wireless communication with the Central Mote, the LoRa transceiver module is then turned on. The soil sampling apparatus is simultaneously ready to facilitate effective soil sample collecting. In order to improve user engagement and enable input, the device's user interface components, such as the keypad and touch display, are also initialized. The device now awaits user input, prompting the specification of specific crop kinds and other pertinent settings when startup is complete.
The Automated Soil Sampler Mote connects to the Central Mote via the LoRa transceiver, enabling wireless transfer of the assembled data—which includes soil measurements and crop parameters—for additional processing. The effective and trustworthy transport of data is ensured by the use of the LoRa communication technology. The gadget then goes into a waiting mode while it waits for the Central Mote to respond. The system can be designed to start a retransmission if no acknowledgement is received within the predetermined interval or to conduct the appropriate error-handling steps. The Central Mote uses AI and machine learning to analyze the sent data after it has been processed to produce individualized recommendations and insights. The Automated Soil Sampler Mote then receives these insights, which are tailored to certain soil types and crop kinds. On its touch display, the gadget visibly displays the collected results and AI-generated suggestions, giving users easily accessible information to guide crop management choices based on real-time soil data. The Central Mote's startup step kicks off its operating sequence. During this phase, the GSM modem is turned on to establish contact with cloud servers, and the LoRa transceiver module is prepared for wireless communication. The Raspberry Pi Pico, a crucial part for data processing, is started concurrently. Once ready, the Central Mote may connect to the Automated Soil Sampler Mote and communicate with it via the LoRa network. The Automated Soil Sampler Mote transmits bundled soil data and crop characteristics, which it receives. This data set includes important details on the type of crop being grown and the nature of the soil. The Central Mote's next goal is to safely send the data to a cloud-based server for in-depth analysis now that it has the data available. It is essential to maintain data integrity throughout transmission in order to retain the reliability of the conclusions that will be drawn. The cloud-based server analyzes data using cutting-edge AI and machine learning methods. Using this study, ideas and insights that may be put into practice to improve crop management tactics are derived. These observations take into account a number of elements, such as soil characteristics, crop requirements, and environmental variables, and provide farmers with specific and pertinent advice. The Central Mote then bundles these AI-driven recommendations for transmission back to the Automated Soil Sampler Mote. The ideas are sent back to the Automated Soil Sampler Mote through the restoration of the LoRa communication channel, providing instant response. If appropriate, the Central Mote can provide the AI-generated ideas that it has received on its interface, allowing users to get insights right away and improving the system's usability. Interaction between the Central Mote and cloud-based repositories, where processed data and AI-generated proposals are safely kept, is a crucial part of this process. By enabling historical analysis and retrieval, this storage promotes reference and informed decisions. In order to accommodate subsequent soil samples, the Central Mote returns to the communication stage after finishing the processing cycle for one set of data, ready to handle the next batch of data from the Automated Soil Sampler Mote.
ADVANTAGES OF THE INVENTION
1. When collecting soil data across large areas, the Automated Soil Sampler Mote streamlines the soil sample process, requiring less manual work and time.
2. Accurate monitoring of soil factors such as pH, NPK levels, and temperature is ensured by including a variety of sensors, improving the accuracy and reliability of the data acquired.
3. The program gives farmers immediate access to real-time soil data and insights produced by AI, enabling them to take quick, informed decisions that eventually improve their crop management techniques.
4. Realistic suggestions obtained from AI analysis help farmers optimize the use of resources, including water, fertilizers, and other inputs, leading to cost savings and environmental benefits.
5. Customized recommendations based on specific crop kinds and soil characteristics may greatly boost crop yields, hence optimizing agricultural production as a whole.
6. The remote link to data and insights provided by the mobile application allows farmers to remotely monitor their crops from any place, increasing flexibility and operational effectiveness.
7. The combination of hardware, wireless technology, cloud computing, and artificial intelligence (AI) highlights a complex technical approach that advances the field of precision agriculture.
8. The effort is well-equipped for scalability by utilizing cloud servers for data analysis and storage, supporting rising data loads as the system manages information from various fields or locations. , Claims:1. An AI-Enabled Autonomous Soil Sampling Device Utilizing LoRa Network Technology to Enhanced Agricultural Productivity comprises of Automated Soil Sampler Mote (10), LoRa Transceiver Module (11), Touch Display (12), Keypad (13), Battery Power Supply (14), Soil Temperature Sensor (15), Soil pH Sensor (16), Soil Sampling Mechanism (17), Precise Soil Sensor (18), NPK Sensor (19), Raspberry Pi Pico (20), Central Mote (21), GSM Modem (22), Battery Power Supply (23), Raspberry Pi Pico (24) and LoRa Transceiver Module (25).
2. The system as claimed in claim 1, wherein the Autonomous Soil Sampler Mote includes the Raspberry Pi Pico, Keypad, Touch display, LoRa Transceiver Module, NPK Sensor, Precise Soil Sensor, Soil Sampling Mechanism, Soil pH Sensor, Soil Temperature Sensor, Battery Power Supply, and Soil Sampling Mechanism; and these components work together to make it easier to gather soil data, which is then sent to the central node for analysis.
3. The system as claimed in claim 1, wherein the LoRa Transceiver Module, Raspberry Pi Pico, GSM Modem, and Battery Power Supply are all essential parts of the Central Mote; and through the use of LoRa RF technology, these components are essential for receiving data from the autonomous soil sampler meter; and the Central Mote then sends this data to cloud servers for additional analysis.
4. The system as claimed in claim 1, wherein the Central Mote's and the Automated Soil Sampler Mote's use of the Raspberry Pi Pico as a key component considerably improves data processing capabilities; and this powerful processing capacity makes it possible to manage sensor data effectively, which contributes to correct analysis and outcomes.
5. The system as claimed in claim 1, wherein the Automated Soil Sampler Mote has a user interface with a touch screen and keyboard that is simple to operate; and the entry of crop kinds and parameters is simplified by this user-friendly design, improving the accuracy and usefulness of the obtained data for further analysis.
6. The system as claimed in claim 1, wherein reliable, long-range wireless communication is made possible by the LoRa transceiver module, which is incorporated into both the Automated Soil Sampler Mote and the Central Mote; and with the use of this technology, field devices and the central processing unit may communicate data seamlessly, leading to effective data interchange.
7. The system as claimed in claim 1, wherein the Automated Soil Sampler Mote develops a thorough awareness of soil conditions by the integration of a range of soil sensors, including those for pH, NPK, and temperature; and the gadget can give precise measurements thanks to this thorough data gathering, which in turn helps to advise productive agricultural plans.
8. The system as claimed in claim 1, wherein the Central Mote's integration of a GSM modem creates a dependable connection with cloud-based systems; and this connection guarantees rapid and secure data transmission, enabling in-depth analysis and private storage.
9. The system as claimed in claim 1, wherein the iterative communication step of the Central Mote enables the ongoing analysis of a series of soil data sets; and the operational structure supports continuing and knowledgeable crop management activities by fostering consistent data flow and timely insights.
10. The system as claimed in claim 1, wherein the real-time AI-generated suggestions and insights presented on the touch display of the Automated Soil Sampler Mote deliver immediate and actionable recommendations; and these insights empower users to optimize crop management strategies based on up-to-date soil data, facilitating effective decision-making.