Description:BACKGROUND
Field of Invention
[001] Embodiments of the present invention generally relate to a monitoring system and particularly to a soil nutrient and moisture monitoring system, and a method of monitoring the same.
Description of Related Art
[002] Soil monitoring systems are designed to assess and track the health and quality of soil in various contexts such as agriculture, environmental conservation, and land management. Soil plays a crucial role in supporting plant growth, nutrient cycling, water filtration, and carbon sequestration, making it essential to monitor and manage its condition effectively.
[003] Additionally, monitoring soil moisture is essential for efficient water management, as it helps prevent under or over-irrigation, which can have negative impacts on plant health and water conservation. A soil monitoring system provides real time data on soil water content, enabling timely irrigation decisions based on actual soil conditions. This information helps to avoid water stress in plants, optimize irrigation scheduling, and improve water use efficiency.
[004] Moreover, the monitoring of nutrient levels in the soil is vital for maintaining balanced nutrition and maximizing crop yields. Nutrient monitoring sensors allow accurate measurement of essential nutrients, such as nitrogen (N), phosphorus (P), potassium (K), and other micronutrients. By continuously monitoring these nutrient levels, farmers can adjust their fertilization practices, ensuring that plants receive adequate nutrition for optimal growth and development. Monitoring of the NPK minimizes the risk of nutrient deficiencies or excesses, leading to improved crop quality and reduced environmental impact.
[005] Also, traditional soil monitoring methods often involve labor-intensive and time-consuming processes, such as manual sampling and laboratory analysis. These methods provide delayed results and lack real time monitoring capabilities. To overcome these limitations, automated soil monitoring systems have emerged, leveraging advanced technologies to provide accurate and timely data on soil parameters. In addition, a modern soil monitoring system typically comprises a combination of hardware sensors, data collection devices, and software analytics tools. These components work together to measure, collect, analyze, and visualize data related to various soil properties and characteristics.
[006] However, there are numerous smart and remotely controlled solutions available that can sense soil fertility or nutrient requirement and moisture level, but these systems are not affordable to farmers and are complicated to install and use.
[007] There is thus a need for an improved and advanced soil moisture and nutrient monitoring system that can administer the abovementioned limitations in a more efficient manner.
SUMMARY
[008] Embodiments in accordance with the present invention provide a soil monitoring system. The system comprising: a nutrient sensor configured to sense nutrient levels of a soil sample. The system further comprising; a moisture sensor configured to sense a moisture content of the soil sample in real time. The system further comprising: a controller connected to the nutrient sensor and the moisture sensor. The controller is configured to receive sensor data from the nutrient sensor, and the moisture sensor. The system further comprising: a cloud-based unit connected to the controller, and configured to: receive sensor data from the controller; and enable the cloud-based unit to analyze the received sensor data to evaluate an amount of nitrogen (N), phosphorus (P), potassium (K), and the moisture content in the soil sample; determine soil conditions by comparting the evaluated amounts of nitrogen (N), phosphorus (P), potassium (K), and moisture content of the soil sample from the analyzed sensor data; and generate customized fertilizer recommendations based on the specific soil conditions.
[009] Embodiments in accordance with the present invention further provide a method for generating customized fertilizer recommendations using a soil monitoring system. The method comprising steps of: sensing nutrient levels of a soil sample using a nutrient sensor; sensing moisture content of the soil sample in real time using a moisture sensor; receiving sensor data from the nutrient sensor and the moisture sensor using a controller; transmitting the received sensor data to a cloud-based unit; analyzing the received sensor data using the cloud-based unit to evaluate an amount of nitrogen (N), phosphorus (P), potassium (K), and the moisture content in the soil sample; determining soil conditions by comparing the evaluated amounts of nitrogen (N), phosphorus (P), potassium (K), and the moisture content of the soil sample with threshold values.
[0010] Embodiments of the present invention may provide several advantages depending based on configuration. First, embodiments of the present application may provide a soil monitoring system.
[0011] Next, embodiments of the present application may provide a soil monitoring system that is easy to use and install.
[0012] Next, embodiments of the present application may provide a soil monitoring system that enables a soil fertility and plant health.
[0013] Next, embodiments of the present application may provide a soil monitoring system that operates on a domestic and academic research level.
[0014] Next, embodiments of the present application may provide a soil monitoring system that bears low maintenance costs.
[0015] Next, embodiments of the present application may provide a soil monitoring system that is workable and sustainable for a longer time.
[0016] These and other advantages will be apparent from the present application of the embodiments described herein.
[0017] The preceding is a simplified summary to provide an understanding of some embodiments of the present invention. This summary is neither an extensive nor exhaustive overview of the present invention and its various embodiments. The summary presents selected concepts of the embodiments of the present invention in a simplified form as an introduction to the more detailed description presented below. As will be appreciated, other embodiments of the present invention are possible by utilizing, alone or in combination, one or more of the features set forth above or described in detail below.
BRIEF DESCRIPTION OF THE DRAWINGS
[0018] The above and still further features and advantages of embodiments of the present invention will become apparent upon consideration of the following detailed description of embodiments thereof, especially when taken in conjunction with the accompanying drawings, and wherein:
[0019] FIG. 1A illustrates a block diagram of a soil monitoring system, according to an embodiment of the present invention;
[0020] FIG. 1B depicts a prototype of the soil monitoring system, according to an embodiment of the present invention;
[0021] FIG. 2 illustrates a block diagram of a controller of the soil monitoring system, according to an embodiment of the present invention; and
[0022] FIG. 3 depicts a flowchart of a method for generating customized fertilizer recommendations using a soil monitoring system.
[0023] The headings used herein are for organizational purposes only and are not meant to be used to limit the scope of the description or the claims. As used throughout this application, the word "may" is used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense (i.e., meaning must). Similarly, the words “include”, “including”, and “includes” mean including but not limited to. To facilitate understanding, like reference numerals have been used, where possible, to designate like elements common to the figures. Optional portions of the figures may be illustrated using dashed or dotted lines, unless the context of usage indicates otherwise.
DETAILED DESCRIPTION
[0024] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the scope of the invention as defined in the claims.
[0025] In any embodiment described herein, the open-ended terms "comprising", "comprises”, and the like (which are synonymous with "including", "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of", “consists essentially of", and the like or the respective closed phrases "consisting of", "consists of”, the like.
[0026] As used herein, the singular forms “a”, “an”, and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.
[0027] FIG. 1A illustrates a block diagram of a soil monitoring system 100, (hereinafter referred to as the system 100), according to an embodiment of the present invention. In an embodiment of the present invention, the system 100 may check NPK (nitrogen (N), phosphorus (P), potassium (K)) levels in soil. In an embodiment of the present invention, the system 100 may check a level of a moisture content in the soil. In an embodiment of the present invention, the system 100 may monitor a temperature of the soil sample in real time.
[0028] The soil monitoring system 100, in an embodiment of the present invention, is configured to monitor the NPK levels, the moisture content, and the soil temperature together. By monitoring these parameters collectively, the system 100 may offer several benefits. For instance, the system 100 may enable a user to understand how moisture content influences nutrient availability in the soil. Excessive moisture may result in nutrient leaching, where essential nutrients are washed away from a root zone. On the other hand, a low moisture content may restrict the plants' ability to absorb the nutrients, effectively. By considering the interplay between moisture content, NPK levels, and soil temperature, the user may make informed decisions regarding irrigation management and nutrient supplementation. Thereby, the system 100 may facilitate an integrated approach to optimize plant growth, nutrient utilization, and overall soil fertility.
[0029] The soil monitoring system 100 may analyze the received sensor data. Further, the soil monitoring system 100 may determine soil conditions by evaluating amounts of nitrogen (N), phosphorus (P), potassium (K), and moisture content of the soil sample from the analyzed sensed data. The soil monitoring system 100 may generate customized fertilizer recommendations based on the soil conditions. According to an embodiment of the present invention, the system 100 may comprise a nutrient sensor 102, a moisture sensor 104, a temperature sensor 106, a controller 108, a cloud-based unit 110, and a mobile device 112.
[0030] In an embodiment of the present invention, the nutrient sensor 102 may be configured to sense the nutrient levels of the soil sample. In a preferred embodiment of the present invention, the nutrient sensor 102 may be an NPK sensor. In another embodiment of the present invention, the nutrient sensor 102 may be, but not limited to a Calcium/Magnesium Sensor, a Carbon/Nitrogen (C/N) Ratio Sensor, a conductivity measurement sensor, an electrochemical sensor, an optical sensor, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the nutrient sensor 102, including known, related art, and/or later developed technologies.
[0031] The nutrient sensor 102 may be inserted into the soil, which may further sense the presence of nitrogen (N), phosphorus (P), potassium (K) levels, in an embodiment of the present invention. In an exemplary embodiment of the present invention, the NPK level of the soil may be high. In another exemplary embodiment of the present invention, the NPK level of the soil may be low. In another exemplary embodiment of the present invention, the NPK level of the soil may be moderate.
[0032] In an embodiment of the present invention, the moisture sensor 104 may be configured to sense the moisture content of the soil sample in real time. The moisture sensor 104 may be inserted into the soil, and may further sense a presence of hydrogen and oxygen in the soil to sense the level of moisture, in an embodiment of the present invention. The moisture sensor 104 may be configured to sense a level of the dampness and humidity of the soil, in an embodiment of the present invention.
[0033] The moisture sensor 104 may further detect the soil moisture state, in an embodiment of the present invention. In an exemplary embodiment of the present invention, the state of the soil may be dehydrated. In another exemplary embodiment of the present invention, the state of the soil may be hydrated. According to embodiments of the present invention, the moisture sensor 104 may be, but not limited to, a gypsum blocks sensor, a volumetric water content sensor, a time domain reflectometry sensor, a frequency domain reflectometry sensor, a neutron probe sensor, a granular matrix sensor, a tension meters sensor, a capacitance sensor, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the moisture sensor 104, including known, related art, and/or later developed technologies.
[0034] In an embodiment of the present invention, the temperature sensor 106 may be configured to monitor a temperature of the soil sample in real time. According to embodiments of the present invention, the temperature sensor 106 may be, but not limited to, a thermistor sensor, a thermocouple sensor, a thermocouple wire sensor, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the temperature sensor 106, that may sense the temperature of the soil in real time, including known, related art, and/or later developed technologies.
[0035] According to embodiments of the present invention, the temperature sensor 106 may be measured in magnitude of units such as, but not limited to, degree Celsius, a degree Fahrenheit, a degree Kelvin, and so forth. Embodiments of the present invention are intended to include or otherwise cover any magnitude unit in which the temperature sensor 106 may sense the temperature of the soil, including known, related art, and/or later developed technologies.
[0036] In an embodiment of the present invention, the nutrient sensor 102, the moisture sensor 104, and the temperature sensor 106 may be encapsulated together in a form of a sensor kit (not shown). The sensor kit may be dipped into the soil up to a predefined depth. According to embodiments of the present invention, the predefined depth may be in a range from 1 centimeter (cm) to 15 centimeters (cm). Embodiments of the present invention are intended to include or otherwise cover any range of depth.
[0037] In an embodiment of the present invention, the soil monitoring system 100 may have a power source (not shown). In an embodiment of the present invention, the power source may be connected to the controller 108. The power source may further supply operational power to the controller 108, in an embodiment of the present invention. In an embodiment of the present invention, the power supplied from the power source may be regulated using the regulator. In an exemplary embodiment of the present invention, the power source may provide power from a battery. In another exemplary embodiment of the present invention, the power source may provide power from a wall-outlet power supply. In yet another exemplary embodiment of the power source may supply power from any source.
[0038] In an embodiment of the present invention, the battery may be a rechargeable battery. In another embodiment of the present invention, the battery may be a non-rechargeable battery. According to embodiments of the present invention, the battery may be of any composition such as, but not limited to, a Nickel-Cadmium battery, a Nickel-Metal Hydride battery, a Zinc-Carbon battery, a Lithium-Ion battery, and so forth. Embodiments of the present invention are intended to include or otherwise cover any composition of the battery, that may provide a power source, including known, related art, and/or later developed technologies.
[0039] In an embodiment of the present invention, the wall-outlet power source may be from a grid power line source. In another embodiment of the present invention, the wall-outlet power source may be from a generator line power source. According to embodiments of the present invention, the wall-outlet power source may be of any rating such as, but not limited to, a 110-volt supply, a 220-volt supply, and so forth. Embodiments of the present invention are intended to include or otherwise cover any rating of the wall-outlet power source, including known, related art, and/or later developed technologies.
[0040] In an embodiment of the present invention, the controller 108 may be connected to the nutrient sensor 102, and the moisture sensor 104. The controller 108 is configured to receive sensor data from the nutrient sensor 102, and the moisture sensor 104, in an embodiment of the present invention. The controller 108 may be configured to execute computer-executable instructions stored in the memory (not shown) to generate an output relating to the soil monitoring system 100. According to embodiments of the present invention, the memory may be, but not limited to, a Random-Access Memory (RAM), a Static Random-Access Memory (SRAM), a Dynamic Random-Access Memory (DRAM), a Read-Only Memory (ROM), an Erasable Programmable Read-only Memory (EPROM), a NAND Flash, a Secure Digital (SD) memory, a cache memory, a Hard Disk Drive (HDD), a Solid-State Drive (SSD), and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the memory, including known, related art, and/or later developed technologies.
[0041] According to embodiments of the present invention, the controller 108 may be, but not limited to, a Programmable Logic Control (PLC) unit, a microprocessor, a development board, and so forth. In a preferred embodiment of the present invention, the controller 108 may be an ESP32 controller. Embodiments of the present invention are intended to include or otherwise cover any type of the controller 108 including known, related art, and/or later developed technologies. In an embodiment of the present invention, components of the controller 108 may be explained in conjunction with FIG. 2.
[0042] The controller 108 may generate and transmit customized fertilizer recommendations based on the determined soil conditions to the cloud-based unit 110, in an embodiment of the present invention. In an embodiment of the present invention, the transmission from the controller 108 to the cloud-based unit 110 may be wireless. In another embodiment of the present invention, the transmission from the controller 108 to the cloud-based unit 110 may be wired. In an embodiment of the present invention, the cloud-based unit 110 may receive sensor data collected by the controller 108. The cloud-based unit 110 may analyze the received sensor data to evaluate the levels of nitrogen (N), phosphorus (P), potassium (K), and moisture content in the soil sample. Based on this analysis, the cloud-based unit 110 may determine the soil conditions and generate customized fertilizer recommendations tailored to the specific soil conditions.
[0043] According to embodiments of the present invention, the cloud-based unit 110 may be, but not limited to a wired communication network, a wireless network, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the cloud-based unit 110, including known, related art, and/or later developed technologies. According to embodiments of the present invention, the wired communication network may be enabled by means such as, but not limited to, a twisted pair cable, a co-axial cable, an Ethernet cable, a modem, a router, a switch, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the means that may enable the wired communication network, including known, related art, and/or later developed technologies.
[0044] According to embodiments of the present invention, the wireless network may be enabled by means such as, but not limited to, a Wi-Fi communication module, a Bluetooth communication module, a millimeter waves communication module, an Ultra-High Frequency (UHF) communication module, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the means that may enable the wireless network, including known, related art, and/or later developed technologies.
[0045] FIG. 1B depicts a prototype of soil monitoring system 100, according to an embodiment of the present invention, in an embodiment of the present invention. According to the embodiment of the present invention, the prototype of the soil monitoring system 100, includes the nutrient sensor 102, the moisture sensor 104, and the temperature sensor 106 together dipped in soil. The cloud-based unit 110 is configured to transmit the generated customized fertilizer recommendations to a mobile device 112, in an embodiment of the present invention. The user mobile device 112, may be, but not limited to a tablet, a phone, a computer, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the mobile device 112, that may notify the user about the soil conditions, including known, related art, and/or later developed technologies.
[0046] FIG. 2 illustrates a block diagram of a controller 108 of the soil monitoring system 100, according to an embodiment of the present invention. The controller 108 may comprise a data receiving module 200, a data analyzing module 202, a condition determination module 204, and a recommendation module 206.
[0047] According to an embodiment of the present invention, the data receiving module 200 may be configured to receive the collected sensed data from the nutrient sensor 102, and the moisture sensor 104 from the controller 108. Further, the data receiving module 200 may be configured to transmit the received sensed amounts of nitrogen (N), phosphorus (P), potassium (K), and moisture content in soil to the cloud-based unit 110 to activate data analyzing module 202, in an embodiment of the present invention.
[0048] In an embodiment of the present invention, the data analyzing module 202 may be configured to analyze the collected sensed data from the nutrient sensor 102 and the moisture sensor 104. Further, the data analyzing module 202 may be configured to transmit the analyzed amounts of nitrogen (N), phosphorus (P), potassium (K), and the moisture content in soil to the condition determination module 204, in an embodiment of the present invention. The analyzed amounts of nitrogen (N), phosphorus (P), potassium (K), and the moisture content of the soil sample may be compared with respective threshold values that may be pre-stored in a memory. These prestored threshold values may serve as references for determining whether the soil conditions meet a desired criteria. Further, by comparing the analyzed amounts of nitrogen (N), phosphorus (P), potassium (K), and the moisture content of the soil sample with the prestored threshold values, the data analyzing module 202 may enable the condition determination module 204 to provide a quantitative assessment of the soil conditions.
[0049] According to the embodiment of the present invention, the condition determination module 204 may determine the soil conditions by evaluating amounts of the nitrogen (N), phosphorus (P), potassium (K), and the moisture content of the soil sample from the analyzed data from nutrient sensor 102 and moisture sensor 104.
[0050] In an embodiment of the present invention, the condition determination module 204 may detect and assess soil conditions using equation 1 (E1):
[0051] Soil Condition = f(NPK, Moisture Content) ……… Equation-1 (E1)
[0052] Where, ‘NPK’ represents the levels of nitrogen (N), phosphorus (P), and potassium (K) in the soil, and ‘Moisture Content’ denotes the measured moisture content in the soil. The function f() may incorporate an algorithm and the threshold values to evaluate the amounts of nitrogen (N), phosphorus (P), potassium (K), and the moisture content of the soil sample and may determine the soil condition.
[0053] The Equation-1 (E1), as described herein, enables the system 100 to assess a wide range of the soil conditions, including but not limited to over-watered, less watered, low potassium, high potassium, imbalanced nutrient levels, nutrient deficiencies, nutrient excesses, acidic soil, alkaline soil, compacted soil, soil erosion, presence of contaminants, and so forth. Embodiments of the present invention are intended to include or otherwise cover any of the soil conditions, including known, related art, and/or later developed technologies.
[0054] Further, the soil condition determination module 204 activates the recommendation module 206 in an embodiment of the present invention. In an embodiment of the present invention, upon receiving the analyzed amounts of nitrogen (N), phosphorus (P), potassium (K), and moisture content, the recommendation module 206, may generate customized fertilizer recommendations based on the soil conditions.
[0055] The recommendation module 206 may incorporate an artificial intelligence (AI) driven optimization algorithm that may continuously learn from the collected data and adapt the fertilizer recommendations over time. This unique feature allows the soil monitoring system 100 to dynamically adjust the fertilizer prescriptions based on evolving soil conditions, crop growth stages, and environmental factors, maximizing the efficiency and effectiveness of nutrient management. In an embodiment of the present invention, the AI-driven optimization algorithm may get trained using data, that may be but not limited to, the sensor data, a historical crop performance data, and external environmental factors to identify patterns, correlations, and trends. The AI-driven optimization algorithm may use the training data to fine-tune the fertilizer recommendations based on the evolving soil conditions, crop growth stages, and environmental factors. The AI algorithm may compare the real time sensor data with a historical data to detect anomalies, and the recommendation module 206 may trigger alerts or notifications to the farmer when significant deviations are identified.
[0056] In an embodiment of the present invention, the generated fertilizer recommendations may be, but not limited to, a required fertilizer proportion, application rates, a weather suggestion, a timing suggestion for applying fertilizer, and so forth. Embodiments of the present invention are intended to include or otherwise cover any recommendation, including known, related art, and/or later developed technologies.
[0057] FIG. 3 depicts a flowchart of a method 300 for generating customized fertilizer recommendations using a soil monitoring system 100, in an embodiment of the present invention.
[0058] At step 302, the soil monitoring system 100 may sense the nutrient levels of a soil sample using a nutrient sensor 102.
[0059] At step 304, the soil monitoring system 100 may sense the moisture content of the soil sample in real time using a moisture sensor 104.
[0060] At step 306, the controller 108 may receive the sensor data from the nutrient sensor 102 and the moisture sensor 104.
[0061] At step 308, the controller 108 may transmit the received sensor data to a cloud-based unit 110.
[0062] At step 310, the cloud-based unit 110 may analyze the received sensor data for evaluating amounts of nitrogen (N), phosphorus (P), potassium (K), and the moisture content of the soil sample.
[0063] At step 312, the cloud-based unit 110 may determine soil conditions by comparing the evaluated amounts of nitrogen (N), phosphorus (P), potassium (K), and the moisture content of the soil sample with the threshold values.
[0064] At step 314, the cloud-based unit 110 may generate and transmit the customized fertilizer recommendations based on the specific soil conditions to the mobile device 112.
[0065] While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it is to be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the scope of the appended claims.
[0066] This written description uses examples to disclose the invention, including the best mode, and also to enable any person skilled in the art to practice the invention, including making and using any devices or systems and performing any incorporated methods. The patentable scope of the invention is defined in the claims, and may include other examples that occur to those skilled in the art. Such other examples are intended to be within the scope of the claims if they have structural elements that do not differ from the literal language of the claims, or if they include equivalent structural elements within substantial differences from the literal languages of the claims. , Claims:CLAIMS
I/We Claim:
1. A soil monitoring system (100) comprising:
a nutrient sensor (102) configured to sense nutrient levels of a soil sample;
a moisture sensor (104) configured to sense a moisture content of the soil sample in real time;
a controller (108) connected to the nutrient sensor (102) and the moisture sensor (104), wherein the controller (108) is configured to receive sensor data from the nutrient sensor (102), and the moisture sensor (104); and
a cloud-based unit (110) connected to the controller (108), and configured to:
receive sensor data from the controller (108);
enable the cloud-based unit (110) to analyze the received sensor data to evaluate an amount of nitrogen (N), phosphorus (P), potassium (K), and the moisture content in the soil sample;
determine soil conditions by comparing the evaluated amounts of nitrogen (N), phosphorus (P), potassium (K), and the moisture content of the soil sample with threshold values; and
generate customized fertilizer recommendations based on the determined soil conditions.
2. The soil monitoring system (100) as claimed in claim 1, comprising a temperature sensor (106) for monitoring a temperature of the soil sample in real time.
3. The soil monitoring system (100) as claimed in claim 1, wherein the fertilizer recommendations are selected from required fertilizer proportions, application rates, weather suggestions, and timing suggestions for applying fertilizer, or a combination thereof.
4. The soil monitoring system (100) as claimed in claim 1, wherein the controller (108) wirelessly transmits the received sensor data to the cloud-based unit (110).
5. The soil monitoring system (100) as claimed in claim 1, wherein the controller (108) is an ESP32 controller.
6. The soil monitoring system (100) as claimed in claim 1, wherein the cloud-based unit (110) is configured to transmit the generated customized fertilizer recommendations to a mobile device (112).
7. A method for generating customized fertilizer recommendations using a soil monitoring system (100), the method comprising steps of:
sensing nutrient levels of a soil sample using a nutrient sensor (102);
sensing a moisture content of the soil sample in real time using a moisture sensor (104);
receiving sensor data from the nutrient sensor (102) and the moisture sensor (104) using a controller (108);
transmitting the received sensor data to a cloud-based unit (110);
analyzing the received sensor data using the cloud-based unit (110) to evaluate an amount of nitrogen (N), phosphorus (P), potassium (K), and the moisture content in the soil sample;
determining soil conditions by comparing the evaluated amounts of nitrogen (N), phosphorus (P), potassium (K), and the moisture content of the soil sample with threshold values; and
generating customized fertilizer recommendations based on the determined soil conditions.
8. The method as claimed in claim 7, comprising a step of monitoring a temperature of the soil sample in real time using a temperature sensor (106).
9. The method as claimed in claim 7, comprising a step of transmitting the generated customized fertilizer recommendations from the cloud-based unit (110) to a mobile device (112).
10. The method as claimed in claim 7, wherein the fertilizer recommendations are selected from required fertilizer proportions, application rates, weather suggestions, and timing suggestions for applying fertilizer, or a combination thereof.

Date: December 11, 2023
Place: Noida

Dr. Keerti Gupta
Agent for the Applicant
(IN/PA-1529)