DESC:FIELD OF THE INVENTION
The present invention relates generally to real-time predictive data that conflation of multiple agricultural parameters for obtaining actionable and insights of field spatial variability. More specifically, but not by way of limitation, the invention relates to a system and method to derive real time testing and streaming agricultural fields data capture with predictive solutions through a revolutionary Test and Monitoring System (TMS).
BACKGROUND
The subject matter discussed in the background section should not be assumed to be prior art merely because of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed a real-time predictive and prescriptive solutions to farmers/growers.
Presently, cultivators of crops and farmers encounter a critical challenge in the realm of agriculture — the lack of timely and accurate agricultural fields data such as soil, water, environment and carbon etc information to the growers. Traditional soil testing methods involve time-consuming processes that necessitate collecting samples, sending them to laboratories, and enduring a wait of 3-4 weeks for results. This delay poses a significant obstacle to informed decision-making, hindering the cultivator's ability to apply the right nutrients to the soil at the optimal time
In addition to the time-consuming and costly nature of traditional field-testing methods, another significant drawback is the extensive reliance on multiple mechanical systems, leading to an increase in testing expenses. These systems are prone to errors and inconsistencies, primarily attributed to the manual testing processes employed in traditional methods. The reliance on manual testing introduces a host of challenges, such as the loss of moisture and variations in nutrient levels due to ongoing chemical processes driven by soil organisms and environmental factors. The consequences of these drawbacks are twofold.
Firstly, the results derived from traditional soil testing methods often deviate significantly from the actual true values related to the soil. This discrepancy is a result of the dynamic and complex nature of soil processes, which can be inadequately captured by manual testing systems.
Secondly, upon the declaration of soil testing results, cultivators are conventionally compelled to seek advice from Soil health advisors, practitioners, agronomists, and fertilizer sellers to determine the appropriate quantity of nutrients required for specific crops. Unfortunately, this reliance on external consultants frequently leads to insufficient and irregular advice, with consultations often marred by inaccuracies and improper recommendations. The prevailing practice of providing flawed advice contributes to a pervasive issue in the agriculture sector, where cultivators find themselves dependent on external expertise. The current agricultural landscape demands a solution that provides immediate and comprehensive not only soil, water, weather but fields related information, empowering cultivators to make informed decisions in real-time.
The proposed Predictive and Prescriptive Test and Monitoring System (TMS) seeks to alleviate these challenges by offering a streamlined and automated approach to soil testing. By eliminating the need for multiple mechanical systems and manual testing, the system ensures accuracy and consistency in soil parameter measurements. Furthermore, the integration of an Artificial Intelligence and Machine Learning (AI/ML) engine enables continuous learning and adaptation to the dynamic conditions of the soil, reducing dependence on external advisors and empowering cultivators with precise, real-time data for informed decision-making. By leveraging wireless technology, the system ensures that data on nutrients, pH levels, and other critical factors are instantly available to cultivators through a user-friendly app. This innovative approach not only addresses the challenge of insufficient soil information but also eliminates the need for costly and time-consuming traditional soil testing methods.
In essence, the invention seeks to empower cultivators by providing a smart, efficient, and cost-effective solution that enables them to make informed decisions based on real-time, accurate soil data — ultimately contributing to the advancement of precision agriculture.
Objects of the Invention
The primary objective of the present invention is to provide a suite of intelligent, efficient, and cost-effective system and method, specifically designed to empower cultivators of crops and farmers that facilitates real- time visualization, decision support and recommendation enabling cultivators to make informed decisions promptly. The invention aims is to provide a user-friendly system and method that encompasses a Predictive and Prescriptive Real-Time Test and Monitoring System (TMS).
This system comprises a unique sensor interconnection for real-time monitoring of soil, water, environment, and carbon parameters, coupled with the continuous evolution facilitated by the integration of an Artificial Intelligence and Machine Learning (AI/ML) engine featuring a neural network. This user-centric approach ensures accessibility and efficiency, contributing to the advancement of precision agriculture aligned with the principles of Climatic Smart Sustainable Agriculture.
Another objective of the present invention is to offer systems and methods featuring an exceptionally unique interconnection of sensors and devices, facilitating real-time testing for soil, water, environment, and carbon through a sampling methodology. This innovative approach aims to provide cultivators of crops and farmers with a Decision Support System, offering a preview of a dynamic Package of Practices (PoP).
The seamless integration ensures that any data collected by the sensors is instantly reflected on a customized app via Bluetooth, enhancing accessibility and empowering cultivators with timely and actionable insights.
Yet another objective of the present invention is to furnish systems and methods featuring an Artificial Intelligence and Machine Learning (AI/ML) engine with a neural network. This integration aims to enable the continuous evolution of the system and database, operating in synergy with the dynamically changing weather patterns. This evolution aligns with the principles of Climatic Smart Sustainable Agriculture, ensuring adaptability to environmental variations and enhancing the system's effectiveness over time.
A further objective of the present invention is to deliver systems and methods capable of assessing the soil fertility status, providing recommendations for appropriate and cost-effective nutrient doses through fertilizers and organic manures tailored to various crops and cropping systems.
Further, object of the present invention is to provide system and method designed to identify the type and degree of soil degradation problems or abnormalities, such as soil acidity, salinity, Sodicity in soil (the presence of a high proportion of sodium ions relative to other cations) etc and to provide effective remedial measures for addressing these issues, ensuring the sustainable health and productivity of the soil.
Another, object of the present invention is to provide a system and method continuously advancing the comprehensive analysis and interpretation of test data. This ongoing refinement aims to enhance the meaningful utilization of this tool for soil care and optimized crop production, contributing to the continuous improvement and precision of agricultural practices.
Another, object of the present invention is to provide system and method on-locale soil testing facilities directly to cultivators of crops and farmers at their farms that enhances accessibility and convenience, empowering cultivators with immediate and localized insights into their soil conditions.
Another, object of the present invention is to provide a system and method dedicated to enhancing the timeliness in the analysis of soil samples that improves to streamline and expedite the process, ensuring that cultivators receive prompt and time-sensitive results, facilitating more agile and informed decision-making in their agricultural practices.
Yet another objective of the present invention is to provide system and method incorporating a Single Window approach, seamlessly managing the entire process from the collection to the issuance of Soil Health Cards (SHC) that designed to minimize delays and maximize convenience for cultivators of crops and farmers.
Another, object of the present invention is to provide a system and method provide to eliminate the dependency of farmers on Soil health advisors, practitioners, and agronomists for soil nutrition recommendations and consultations. This objective underscores the invention's commitment to empowering cultivators with autonomous decision-making capabilities in managing their agricultural practices.
SUMMARY OF INVENTION
This summary is provided to introduce concepts related to a system and a method for predictive and prescriptive real-time testing and monitoring System (TMS), specifically designed to empower cultivators of crops and farmers that facilitates real- time visualization, decision support and recommendation enabling cultivators to make informed decisions promptly, and the concepts are further described below in the detailed description.
In an embodiment, a system comprising a sensor box, a Soil pH sensor, a Soil 7-in-one sensor, a Water pH sensor, a Water TDS sensor, a Water EC sensor, a Humidity sensor, and a Battery, all seamlessly integrated and connected to the microcontroller. All sensors to the system, powering on the system, connecting to the Agri- Real-Time Test and Monitoring System (TMS), application on a mobile device, and signing in to the Cloud Software SaaS Suite framework application.
In one or more embodiments of the present invention within the sensor box, a central microcontroller serves as the main controlling unit, establishing connections with various components.
Yet another embodiment of the system provides real-time Monitoring and Decision Support with a central microcontroller unit to aggregate data from multiple sensors, offering real-time insights into soil, water, environment, and carbon parameters and enables instant reflection of gathered data on a user-friendly app via Bluetooth communication protocol.
In one or more embodiments of the present invention the system provides a Decision Support System that previews a dynamic Package of Practices, empowering cultivators with actionable information for optimized farming.
In one or more embodiments of the present invention the system accommodates various other soil-related parameters critical for informed decision-making.
In one or more embodiments of the present invention the system Utilizes Bluetooth communication protocol for efficient and quick transmission of data from the microcontroller to the server.
In one or more embodiments of the present invention the system comprehensive Monitoring parameters like Temperature, Moisture, NPK, pH value, Conductivity, and TDS values, ensuring a holistic understanding of soil conditions.
In one or more embodiments of the present invention the system integrates a user-friendly mobile app that provides cultivators with instant access to real-time data, facilitating timely and informed decisions.
The Soil pH sensor is responsible for measuring soil acidity levels, while the Soil 7-in-one sensor provides a comprehensive analysis of various soil parameters. Additionally, the Water pH sensor, Water TDS sensor, and Water EC sensor contribute to the assessment of water quality. The Humidity sensor measures air moisture content in the agricultural environment.
In one or more embodiments of the present invention the central microcontroller plays a pivotal role in aggregating data collected from these sensors, acting as the primary unit for data processing and transmission. It efficiently controls power distribution to each sensor, ensuring optimal functionality. Furthermore, the microcontroller reads the battery status and monitors all onboard voltages, enhancing the overall efficiency and longevity of the sensor box. To transmit the aggregated data seamlessly, the microcontroller utilizes Bluetooth connectivity, establishing a connection to a server. This allows for the swift and efficient relay of sensor data, providing real-time insights to users or stakeholders. In essence, the present invention offers an integrated and intelligent sensor system, controlled by a central microcontroller, to monitor and analyze crucial parameters in soil and water, facilitating data-driven decision-making in agriculture.
In another embodiment, a method for testing agricultural parameters such as water, soil, weather, etc., a series of steps are executed to ensure seamless functionality. These steps include the connection of all sensors to the system, powering on the system, connecting to the Agri-TMS application on a mobile device, and signing into the Cloud Software SaaS Suite framework application. During the initial setup, a system scan process is initiated, and utilizing the Bluetooth communication protocol, the system establishes a connection with the Cloud Software SaaS Suite framework application. This connectivity ensures a robust link between the sensor system and the cloud-based application, facilitating the efficient transmission of data and enabling real-time monitoring and analysis of agricultural parameters.
The method may include a computing device having at least one processor configured to display, at a graphical user interface, include customizing communication workflows by using multiple streams of data from cultivated fields over a single communication channel, which are manipulated and adapted using on-device AI models and machine learning algorithms to optimize and generate events for analysis.
The system and method further incorporate advanced Artificial Intelligence (AI) and machine learning (ML) algorithms to draw intelligent inferences and generate user-friendly insights based on the agricultural data gathered from the input system. These algorithms are designed to dynamically determine the most appropriate analytical processes based on the type of agricultural data events registered.
The agricultural data events encompass a wide range of parameters, including but not limited to soil testing, soil acidity, salinity, sodicity in soil, water testing, pH testing, humidity testing, NPK (Nitrogen, Phosphorus, Potassium) calculations, as well as weather and climate conditions. The integration of these AI and ML algorithms enhances the system's capability to derive more meaningful and actionable conclusions from the diverse set of agricultural data, providing cultivators with valuable insights for informed decision-making and optimized agricultural practices.
Therefore, embodiments of the present invention provide an innovative Test and Monitoring System (TMS) designed as system and unique method of using to empower cultivators of crops/farmers with real-time insights into agricultural parameters. This unique system incorporates a multitude of sensors, such as Temperature, Moisture, NPK, pH value, Conductivity, and TDS values, providing a comprehensive understanding of agricultural field conditions. Additional features and advantages of embodiments of the present invention will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of embodiments of the present disclosure. The objectives and other advantages of the embodiments of the present disclosure may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory and are intended to provide further explanation of embodiments of the invention as claimed.
BRIEF DESCRIPTION OF THE DRAWINGS
The drawings illustrate the design, flowchart, and utility of various embodiments of the invention. It should be noted that the figures are not drawn to scale and that elements of similar structures or functions are represented by like reference numerals throughout the figures. In order to better appreciate how to obtain the above-recited and other advantages and objects of various embodiments of the invention, a more detailed description of the present inventions briefly described above will be rendered by reference to specific embodiments thereof, which are illustrated in the accompanying drawings. Understanding that these drawings depict only typical embodiments of the invention and are not therefore to be considered limiting of its scope, the invention will be described and explained with additional specificity and detail through the use of the accompanying drawings in which:
Figure 1 illustrates a schematic representation of System Architecture view for a AgriTMS, in accordance with an embodiment of the present disclosure.
Figure 2 illustrates a schematic representation of the AgriTMS system overview, in accordance with an embodiment of the present disclosure.
Figure 3 illustrates a schematic representation of the elements of AgriTMS system, in accordance with an embodiment of the present disclosure.
Figure 4 illustrates a schematic representation of water Sensor Connectors of the system, in accordance with an embodiment of the present disclosure.
Figure 5 illustrates a schematic representation of LEDs of the system, in accordance with an embodiment of the present disclosure.
Figure 6 illustrates a schematic representation of Sensor Port details of the system, in accordance with an embodiment of the present disclosure.
Figure 7 illustrates a schematic representation of Soil 7 in 1 Sensor of the system, in accordance with an embodiment of the present disclosure.
Figure 8 illustrates a schematic representation of Soil PH Sensor of the system, in accordance with an embodiment of the present disclosure.
Figure 9 illustrates a schematic representation of Water EC Sensor of the system, in accordance with an embodiment of the present disclosure.
Figure 10 illustrates a schematic representation of Water TDS Sensor of the system, in accordance with an embodiment of the present disclosure.
Figure 11 illustrates a schematic representation of Water PH Sensor of the system, in accordance with an embodiment of the present disclosure.
Figure 12 illustrates a flow chart representing a method for predictive and prescriptive Real-Time Test and Monitoring System (TMS),, in accordance with an embodiment of the present disclosure.

DETAILED DESCRIPTION
Reference will now be made in detail to the embodiments of the present disclosure, examples of which are illustrated in the accompanying drawings. The present disclosure may, however, be embodied in many different forms and should not be construed as being limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the disclosure to those skilled in the art.
As will be appreciated by one skilled in the art, the present disclosure may be embodied as a method, system, or computer program product. Accordingly, the present disclosure may take the form of an entirely Agri TMS system embodiment, an entirely software in built over system embodiment (including Artificial learning, machine learning, etc.) or an embodiment combining other soil , water parameters etc aspects that may all generally be referred to herein as a “pH”, “electrical conductivity”, “temperature”, “moisture”, “Nitrogen, Phosphorous, Potassium”, “TDS”, “Organic Carbon”, “Latitude and Longitude”.” It should be understood at the outset that any of the operations and/or operative components described in any embodiment herein may be implemented in software, firmware, hardwired circuitry and/or any combination thereof.
Furthermore, the present invention the AgriTMS system and method use of AI and machine learning algorithms to make intelligent inferences from the data and generate events that can be consolidated into single time frame events for analysis that enhance user convenience and reducing dependency on external advisors, practitioners, and agronomists by providing instant and comprehensive data for informed decision-making in farming activities.
The present invention is described below with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and Artificial Intelligence and Machine Learning (AI/ML) engine with neural network, to make a system and database continuously evolving in synergy with the rapidly changing weather patterns in accordance with Climate Smart Sustainable Agriculture (CSSA) according to embodiments of the invention.
In the interest of brevity and for the purposes of exemplary explanation, references have been made to a system, depicted in figure 1 to figure 12 herein without limitation, to describe the invention which is essentially directed towards providing a system and a method for predictive and prescriptive real-time on locale testing and monitoring System (TMS), specifically designed to empower cultivators of crops and farmers that facilitates real- time visualization, decision support and recommendation enabling cultivators to make informed decisions promptly.
The system overview and architecture, as depicted in Figures 1 to 11, is designed to efficiently monitor, and analyze agricultural parameters, and it comprises a sensor box as its central component. The sensor box is equipped with various essential elements interconnected to form a cohesive and intelligent agricultural monitoring system.
1. Central Microcontroller: At the core of the system is a central microcontroller, serving as the main controlling unit of the sensor box. This microcontroller is intricately connected to all other components, forming a centralized hub for data processing and control.
2. Soil pH Sensor: as depicted in Figure 7, the system incorporates a dedicated Soil pH sensor linked to the microcontroller. This sensor is responsible for accurately measuring the acidity levels of the soil, providing critical information for soil health assessment.
3. Soil 7-in-One Sensor: as depicted in Figures 8, complementing the Soil pH sensor, the system includes a Soil 7-in-One sensor. This multifunctional sensor is designed to capture a comprehensive set of soil parameters, offering a holistic view of the soil's composition and condition.
4. Water pH Sensor: as depicted in Figures 11, to assess the quality of water, the system features a Water pH sensor. This component enables the precise measurement of water acidity levels, aiding in the evaluation of water suitability for agricultural purposes.
5. Water TDS Sensor: as depicted in Figures 10, another vital component is the Water TDS (Total Dissolved Solids) sensor, connected to the microcontroller. This sensor provides insights into the concentration of dissolved solids in water, contributing to water quality assessment.
6. Water EC Sensor: as depicted in Figure 9, the Water EC (Electrical Conductivity) sensor is integrated into the system, allowing for the measurement of water's electrical conductivity. This parameter is crucial for determining water purity and its potential impact on crops.
7. Humidity Sensor: A Humidity sensor is incorporated to measure the moisture content in the air. This data is valuable for understanding the atmospheric conditions and their influence on crop growth.
8. Battery: as depicted in Figures 1 and block diagram of figure 12, the system includes a dedicated Battery connected to the microcontroller, ensuring a stable and continuous power supply to all components. The microcontroller actively monitors the battery status to prevent disruptions in data collection.
The microcontroller acts as the central intelligence, aggregating data from all connected sensors. It controls power distribution to each sensor, optimizing their functionality. The microcontroller reads the battery status, ensuring uninterrupted operation, and monitors all onboard voltages for system stability.Utilizing Bluetooth communication protocol, the microcontroller facilitates the seamless transmission of aggregated data to a server. This data transfer ensures real-time access to valuable agricultural insights through external applications or cloud-based platforms.
The present invention's system is seamlessly connectable to a mobile device using a Bluetooth communication interface, offering an ideal solution for measuring crucial parameters such as Temperature, Moisture, NPK (Nitrogen, Phosphorus, Potassium), pH value, Conductivity, and TDS (Total Dissolved Solids) values in Soil and Water. These parameters can be efficiently requested, displayed, stored, compared, and retrieved through a dedicated mobile application. The data collected can also be stored and managed on the Cloud for enhanced accessibility.
New Soil Testing Procedure:
In a preferred embodiment of the method for New Soil Testing, the following steps are undertaken:
1. System Setup:
• Connect all sensors to the system.
• Power on the system.
2. Mobile Application Connection:
• Connect to the Agri-TMS system application on the mobile device.
• Sign into the Cloud Software SaaS Suite framework application.
3. Bluetooth Connectivity:
• Execute a system scan process.
• Connect to the Cloud Software SaaS Suite framework Application via Bluetooth communication protocol.
4. Dashboard Options:
• The Dashboard presents three options: Create new Test, Past Report, and Compare Report.
5. Create New Test - Soil Testing:
• Select the Soil test from the Dashboard.
• Choose Crops, Farmer, and the location.
• Press Start Test.
6. Parameter Selection:
• Select the parameter(s) the user wishes to measure.
• An option to select all parameters at once is available.
7. Test Execution:
• Press start test, and the data will be displayed after a few moments.
8. Data Handling:
• Press Upload to post the data on the Cloud Software SaaS Suite framework or cancel to redo the test.
New Water Testing Procedure:
In a preferred embodiment of the method for New Water Testing, the procedure involves the following steps:
1. System Setup:
• Connect all sensors to the system.
• Power on the system.
2. Mobile Application Connection:
• Connect to the Agri-TMS application on the mobile device.
• Sign in to the Cloud Software SaaS Suite framework application.
3. Bluetooth Connectivity:
• Execute a system scan process.
• Connect to the Cloud Software SaaS Suite framework Application via Bluetooth communication protocol.
4. Dashboard Options:
• The Dashboard presents three options: Create new Test, Sieve through past Reports, and Compare Reports.
5. Create New Test - Water Testing:
• Select the Water test from the Dashboard.
• Choose Crops, Farmer, and the location.
• Press Start Test.
6. Parameter Selection:
• Select the parameter(s) the user wishes to measure.
• An option to select all parameters at once is available.
7. Test Execution:
• Press start test, and the data will be displayed after a few moments.
8. Data Handling:
• Press Upload to post the data on the Cloud Software SaaS Suite framework server or cancel to redo the test.
These procedures provide a structured and user-friendly approach to conducting soil and water testing and other agricultural parameters ensuring efficient data collection, analysis, and storage for informed decision-making in agriculture.
The Parameters that shall be measured by the present invention includes:
• Soil Parameters
i. pH
ii. Electrical conductivity
iii. Temperature
iv. Moisture
v. Nitrogen
vi. Phosphorous
vii. Potassium
• Water Parameters
I. pH
II. Electrical conductivity
III. TDS
• Atmospheric humidity
• Organic Carbon
• Location - Latitude and Longitude

Invention Key Elements Measures Soil, Water and Carbon.
Soil Information
• Inventory of crops/crops rotations by field or by crops groups and expected yields;
• Instant and accurate soil testing
• Inventory of all nutrient sources, e.g., manure, crops residues
Water Information
• Instant and accurate water testing
• Decision on water management
• Water quality measurement
Carbon Metrics
• Measuring Carbon Forms for reducing Greenhouse gases (GHG)

,CLAIMS:1. A System for real-time assessment of agricultural-related parameters, comprising:
a central microcontroller unit,
a plurality of sensors for sensing parameters related to agriculture, including, but not limited to Soil pH, Temperature, Moisture, NPK, Conductivity, and TDS,
said microcontroller unit operably connected to said plurality of sensors,
said microcontroller unit configured to aggregate data from said sensors,
a Bluetooth communication protocol for transmitting aggregated data to a server, and
a user-friendly app for instant visualization of real-time data.
2. The System of claim 1, wherein said microcontroller unit acts as the main controlling unit, controlling power to each sensor, reading battery status, and monitoring all onboard voltages.
3. The System of claim 1, wherein the sensors further include a Soil 7-in-one sensor and a Water pH sensor for comprehensive assessment of on-locale soil and water quality.
4. The System of claim 1, wherein the Bluetooth communication protocol enables seamless integration with a Cloud Software SaaS Suite framework application for efficient data storage, retrieval, and analysis.
5. The System of claim 1, wherein the aggregated data processed via AI/ML engine continuously evolves by learning from the aggregated data, providing the system with adaptability to changing the agricultural parameters and weather conditions providing instant and comprehensive data for informed decision-making in farming activities.
6. The System of claim 1, wherein the user-friendly app provides a customizable dashboard for cultivators to visualize specific agricultural parameters based on their preferences and requirements.
7. The System of claim 1, further comprising a unique system interconnection of sensors and devices to enable real-time monitoring of the agricultural parameters but not limited to soil, water, environment, and carbon parameters.
8. The System of claim 1, wherein the system includes a Single Window approach from the collection of data to the issuance of Soil Health Cards (SHC), minimizing delays and maximizing convenience for cultivators.
9. A method for real-time assessment of agricultural-related parameters using an On-locale Test and Monitoring System (TMS), comprising the steps of:
a. Connecting a plurality of sensors, including Soil pH, Temperature, Moisture, NPK, Conductivity, and TDS sensors, to a central microcontroller unit within the TMS,
b. Powering on the TMS and initiating a system scan process,
c. Connecting the TMS to an Agri-TMS application on a mobile device via a Bluetooth communication protocol,
d. Signing into a Cloud Software SaaS Suite framework application through the mobile device,
e. Selecting a testing option from the Dashboard, including but limited to Soil Testing or Water Testing,
f. Choosing specific the agricultural parameters for measurement and initiating the test,
g. Displaying real-time data on the mobile application,
h. Uploading the collected data to the Cloud Software SaaS Suite framework server for storage and analysis, or canceling to redo the test,
i. Providing options on the Dashboard for creating new tests, reviewing past reports, and comparing reports for both soil and water testing.
10. The method of claim 10, further comprising utilizing an AI/ML engine integrated into the TMS for intelligent inferences and the creation of user-friendly data based on agricultural data events