DESC:FIELD OF INVENTION

The present invention relates to a system for recognizing and monitoring tractor operations. In particular, the present invention relates to a system for recognizing and monitoring the tractor’s operating conditions. More particular, the present invention relates to a system for recognizing and monitoring the tractor operating conditions to be used to alert driver/customer about the same.

BACKGROUND OF THE INVENTION

In country like India, many land-owners have very small land parcels and they cannot afford to own their own tractors and related agricultural implements. So, they hire tractor and implements for performing the required cultivation and allied activities. In such a scenario, often there are complaints of misuse of the hired tractor and implements connected thereto. This misuse may also be in terms of excessive as well as improper use, which may also involve using the same over rated capacities thereof, which ultimately also leads to several maintenance and servicing issues.

It is necessary for the tractor and farm-equipment owners as well as the manufacturers to keep a watch on the operating condition thereof in order to recognize and issue warnings about any such misuse and thereby keep the maintenance and servicing issues faced by them to a minimum. For example, monitoring and recognizing the tractor operating condition during haulage, land preparation, e.g. using cultivator or cage wheel etc.

DISADVANTAGES WITH THE PRIOR ART

At present, there is no such device or system, which can monitor and recognize any abnormal usage pattern or improper / unauthorized operating conditions of the tractor and implements connected thereto.

Such cases of improper/unauthorized operating conditions might prove harmful to the service life or proper maintenance and upkeep of tractor/implements.
Therefore, there is an existing need to devise a system for monitoring the operations of tractor and implements connected thereto, recognizing their usage patterns and the operational conditions in order to detect, whether tractor/implements are used as per the rated/designed load/conditions or not.

There is also a need to issue alerts to the tractor/implement owners about any such abnormal use/operating conditions for taking corrective action/s therefor.

OBJECTS OF THE INVENTION

Some of the objects of the present invention - satisfied by at least one embodiment of the present invention - are as follows:

An object of the present invention is to provide a system to monitor and recognize the operations of tractor and implements connected thereto for conducting farming or agriculture activities like haulage, land preparation etc.

Another object of the present invention is to provide a system to detect the operations of tractor and implements connected thereto about any abnormal operation and improper/unauthorized usage pattern thereof.

Still another object of the present invention is to provide a system to issue alerts to the driver/owner about any abnormal operation of tractor and implements connected thereto for taking a timely corrective action therefor.

Yet another object of the present invention is to provide a system to continuously study and analyze the usage patterns of the tractor and implements connected thereto during the field operations thereof.

These and other objects and advantages of the present invention will become more apparent from the following description when read with the accompanying figures of drawing, which are, however, not intended to limit the scope of the present invention in any way.

SUMMARY OF THE INVENTION

In accordance with the present invention, there is provided a system for recognizing operations of an agricultural machine, such as a tractor/implement’s operation recognition (TOR) system configured for recognizing, monitoring, analyzing and issuing alerts about operational misuse/s and/or error/s noticed during the operations of the tractor and/or implement/s connected thereto, wherein the system comprises:

• a plurality of sensors to sense and acquire different operational data from the tractor in operation;

• a plurality of respective data processors;

• at least one data transmission means for transmitting the data processed by the data processors to the cloud / server;

• a plurality of respective data imputation means for replacing any missing data;

• at least one data compiler for performing fusion or compilation of the imputed data;

• at least one processor for performing the data mining, recognizing the usage pattern and for machine learning to detect the relevant tractor and/or implement activity;

• at least one means for indicating the recognized tractor activity to the tractor’s instrument cluster for issuing real-time alerts to the user / owner / driver / dealer; and

• at least one trigger for actuating the respective actuator to take the necessary action in real-time by the concerned user / owner / driver / dealer;

wherein the system comprises at least three stages involving the first stage of telematics to predict tractor/implement operation; the second stage of camera for classifying the used implement of the tractor for identifying the concerned tractor/implement application; and the third stage of an application for tagging the user/owner/driver/dealer of the tractor and/or implement to improve the telematics based tractor/implement operation identification.

Typically, the first telematics stage comprises extracting sensor data and vehicle parameters by means of:

(a) a plurality of sensors comprising:
• a GPS sensor for detecting the speed, altitude and position of the tractor/implement;
• at least one 3-direction (x, y, z) accelerometer for detecting acceleration of the tractor/implement;
• a gyro sensor for detecting 3-direction (roll, yaw, pitch) angles of the tractor/implement; and

(b) a plurality of sensors comprising:
• at least one sensor for detecting vehicle parameters like tractor’s speed, rpm, engine temperature, fuel temperature and quantity and accelerator, brake and clutch (ABC) pedal condition; and
• a microphone for capturing noise data.

Typically, the second camera stage comprises at least one camera for capturing images of the implement attached to the tractor and for classifying the implement for identifying the misused and/or erroneous tractor/implement application.

Typically, the third stage of application comprises a mobile app or web application/page for the user/owner/driver/dealer of the tractor/implement to tag the tractor/implement application by using the mobile app or web application/page for accurately identifying the tractor/implement’s operation by means of the system.

Typically, the plurality of sensors is configured as a combination sensor for sensing the senses data of the accelerometer, Gyro, GPS data, barometer, temperature, microphone, magnetometer, and tractor.

Typically, the plurality of processors, process the acquired and captured by means of the plurality of sensors as sensed data.

Typically, the data imputation means is configured for subjecting the sensed data for replacing missing data thereof.

Typically, a data compiler fuses the data obtained from the data imputation means to obtain data compilation thereof.

Typically, a microprocessor is provided for processing the data compilation for performing data mining for determining the usage pattern recognition thereof and for machine learning to detect the relevant activity of the tractor and/or implement operation during the land preparation process.

Typically, the tractor activity recognition (TOR) data is monitored in cloud/server and a display is configured for displaying the detected activity on the instrument cluster of the tractor, which is recognized as a non-prescribed activity and an alert is issued to the user/owner/driver of the tractor and/or implement connected thereto to control the misuse of the tractor and/or implement by actuating the respective actuator/s provided therefor.

Typically, a mobile app and/or web page and/or a dealer’s management mobile app/web page is configured for displaying the detected activity issued as a non-prescribed activity to alert the dealer of the tractor and/or implement connected thereto.

Typically, a feedback system is provided for informing the tractor user / owner / driver to provide further information to the processor for performing out data mining, usage pattern recognition and machine learning for accurately recognizing the concerned tractor activity.

A tractor operation recognition (TOR) method for recognizing, monitoring, analyzing and issuing alerts about operational misuse/s and/or about error/s noticed therein during tractor operations by means of the aforesaid system, wherein the method comprises the steps of:
• operation recognition by identifying the tractor/implement operation;

• monitoring various data related to the tractor/implement operation;

• analyzing the data to recognize the usage pattern of the tractor/implement; and

• issuing alerts in real-time to the user/owner/driver/dealer of the tractor/implement about the usage pattern thereof and/or misuse/s and/or erroneous use/s thereof for taking corrective the necessary measures therefor in real-time.

Typically, the operation recognition involves tractor/implement data and user/owner/driver/dealer inputs by means of the method steps comprising:

• using telematics to extract data by means of sensor and vehicle parameters for identifying the tractor/implement operation;

• supplying the extracted data to a predefined/preinstalled machine learning model for predicting the relevant tractor/implement operation;

• capturing camera images of the tractor and implement attached thereto for classifying the implement to identify the concerned tractor application; and

• tagging the identified application by the user/owner/driver/dealer by means of an application, preferably a mobile app or web application/page.

Typically, the operation monitoring step comprises:
• sensing x, y, z direction (3D) acceleration data from at least one accelerometer;

• sensing roll, yaw, pitch (3D) angle data from at least one gyro;

• sensing engine oil and coolant temperature data from thermal sensors;

• sensing noise data from microphone; and

• sensing vehicle parameters like speed, rpm, ABC pedal condition, Power Take Off (PTO) position, battery condition and fuel quantity; and

• sensing (GPS based) location parameters like speed, heading direction and altitude

wherein the data is captured by means of the first stage of telematics of the system.

Typically, the data analysis step comprises:

(i) Engine analytics involving:
• Detecting wrong tractor engine rpm used with the recognized implement;
• Detecting engine oil and/or coolant temperature fluctuations; and
• Detecting the presence of lower engine efficiency;

(ii) Driver analytics involving:
• Detecting driving patterns;
• recording fuel efficiency; and
• detecting clutch and/or brake and/or accelerator misuse/s; and

(iii) tractor analytics involving:
• detecting front lifting;
• detecting excessive wheel slippage;
• detecting transmission misuse/s; and
• confirming compliance with the speed management according to the application;

wherein the monitored data analysis is performed in a rule-based manner by using a predefined/preinstalled machine learning model to identify errors in the actions by the user/owner/driver/dealer by means of the engine analytics for identifying tractor engine related errors; by means of the driver analytics for driver ranking and suggesting the fuel efficiency improvements; and by means of the tractor analytics for overall tractor misuse like front lifting and unbalanced operations.

Typically, the operational alert step comprises:
• Displaying in real-time the tractor/implement misuse/s and error/s on the tractor’s instrument cluster and/or special indicator/s;
• Displaying the misuse/s and/or driver analytics to the owner/dealer in the mobile app and/or web application/page; and
• Reporting the overall summary of tractor usage and suggesting the improvements for tractor’s operational efficiency.

BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWINGS

The present invention will be briefly described with reference to the accompanying drawings, which include:

Figure 1 shows a schematic representation of data process by the system configured in accordance with the present invention to be fitted on a tractor/implement, e.g. to be used for land preparation.

Figure 2 shows a schematic representation of the process undertaken by the system configured in accordance with the present invention.

Figure 3 shows an exemplary schematic representation of the first stage of the tractor/implement’s operation recognition (TOR) process developed in accordance with the present invention.

Figure 4 shows an exemplary schematic representation of the tractor/implement’s monitoring process developed in accordance with the present invention.

Figure 5 shows an exemplary schematic representation of the tractor/implement’s operation analyzing process developed in accordance with the present invention.

Figure 6 shows an exemplary schematic representation of issuing operational alerts about improper/tractor/implement’s misuse/deviations.

Figure 7 shows an overview of the methodology developed about the tractor operation, recognition and monitoring and the conditions thereof.
Figure 8 shows an exemplary schematic diagram of the hardware configuration of the system developed according to the present invention.

DETAILED DESCRIPTION OF THE ACCOMPANYING DRAWINGS

In the following, different embodiments of the present invention will be described in more details with reference to the accompanying drawings without limiting the scope and ambit of the present invention in any way.

Figure 1 shows a schematic representation of data process by the system (110) configured in accordance with the present invention to be fitted on a tractor/implement (100) to carry out the its operation recognition (TOR) process, e.g. to be used for land preparation. It includes collecting data from a GPS sensor (122), engine parameter sensors (124, 126), accelerometers and gyro (128, 130), microphone (132) and camera (134).The data is collected and processed at step (140) and finally data transmission (150) takes place to the cloud/server (160) which receives data (162), processes (machine learning) data under step (164) and generates alert to be issued (166) to the user to be finally displayed on the user’s mobile app/website (190) or the dealer’s dealer management mobile app/website (200). Alternatively, after data transmission (150), either the alert is directly issued/displayed (170) on the instrument cluster or is sent (180) as an input to the actuators to control the misuse of the relevant tractor/implement activity.

Figure 2 shows a schematic representation of the process undertaken by the system configured in accordance with the present invention. This TOR process involves the steps of: identifying (210) the concerned operation of the tractor/implement, respectively monitoring (220) various important parameters of said operations, analyzing (230) the captured data to interpret the usage pattern of the tractor/implement, and issuing (240) alert to the driver or tractor/implement owner about the detected usage pattern, misuse/deviations thereof and required changes to be done in real time and the summary thereof.

Figure 3 shows an exemplary schematic representation of the first stage (300) of the tractor/implement’s operation recognition (TOR) process, developed in accordance with the present invention. It involves tractor/implement (310) as well as user/driver/owner’s inputs (320). This recognition process comprises of 3 identification methods, which are:

(a) Telematics (330): involves using the outputs of the sensors (including 3D acceleration (along x, y, z directions) captured from accelerometer, 3D (roll, yaw and pitch) angles captured from gyro, tractor speed, altitude and positional data captured from the GPS sensor) as well as vehicle parameters (e.g. speed, rpm, engine parameters) to identify tractor/implement operation. This captured data is used for predicting the tractor/implement operation.

(b) Camera (340): involves taking image of the implement fitted on the tractor and using this image for classifying the implement and using the same for identifying the concerned tractor/implement operation. This camera is in-built in the tractor or an external/smartphone camera is used.

(c) Manual Operation Tagging System 350): is used by the user/customer for tagging the operation, e. g. by using a mobile app for improving the accuracy of telematics-based tractor/implement operation identification.

Accordingly, the above 3 methods are used for identifying (360) the operation of the tractor/implement.

Figure 4 shows an exemplary schematic representation of the tractor/implement’s monitoring process (400) using the tractor (or implement attached thereto)’s operation recognizing (TOR) system developed in accordance with the present invention. It involves capturing accelerations (410) along x, y, z directions; capturing roll, yaw and pitch angles (420); capturing temperatures (430) from thermal sensors; capturing noise data (440) from microphone; capturing speed (450), altitude (460) and positional data (470) from GPS sensor; capturing vehicle parameters (480) like speed, rpm, engine temperature, ABC pedal condition, fuel quantity etc. Subsequently, the telematics is used for monitoring (490) the tractor/implement’s operation by using the above captured data.
Figure 5 shows an exemplary schematic representation of the tractor/implement’s operation analyzing process (500) developed in accordance with the present invention. It involves analyzing the engine analytics (510) which comprises engine-related misuses, e.g. analyzing for wrong rpm (512) with the implement attached thereto, analyzing the temperature fluctuations (514), analyzing the issues related to the engine efficiency (516); analyzing the driver analytics (520) which comprises the driver ranking and fuel efficiency improvement, e.g. analyzing the driving pattern (522), analyzing the fuel efficiency (524), analyzing the misuse of clutch, brake, accelerator (526); and analyzing the tractor analytics (530) which comprises the overall tractor misuse analytics, e.g. analyzing the front lifting (532), analyzing the imbalance operations like excessive wheel slippage (534) and transmission misuse (536) as well as the speed management (538) according to the application. Thus, the final tractor operation analysis (540) broadly involves analyzing the monitored data for the errors captured in the actions of the driver and tractor. The operation analysis (540) above is based on predefined rules and prediction models.

Figure 6 shows an exemplary schematic representation of issuing operational alerts (600) about improper / tractor / implement’s misuse/deviations thereof. Initially, the operational alerts about misuses and errors noticed in the cluster are issued (610) in real time to the driver and secondly, the usage alerts about the misuses and driver analytics are issued (620) to the owner. Thirdly, a report is served at step (630) to the tractor owner about the overall summary of tractor usage and suggestions are provided by understanding the usages for improving the tractor’s operational efficiency to the service personnel for better idea about the usage conditions. Fourthly, the dealer is also informed (640) by the alerts about the tractor operations, the usage pattern and misuses through the dealer management system through the mobile app/website for better understanding of the breakdowns, which may also be useful for the dealer to decide about the allotment of warranty. Finally, the actuator/s and controller/s inside the tractor is/are triggered at step (650) to take appropriate decision/s as and when needed, for optimization with respect to any tractor application as well as to mitigate any improper usage or misuse. For example, (a) engine controller manages the rpm with respect to a specific application, or (b) actuator for lifting the implement, which functions in case of any behavioral pattern of any misuse.

Figure 7 shows an overview of the methodology (700) developed about the tractor operation, recognition and monitoring and the conditions thereof. This broadly involves a plurality of sensors connected to telematics (710) using a smartphone; a time-series data collection (720) using 3D direction acceleration, engine rpm, GPS speed, noise data, battery voltage and temperature; a feature extraction (730) of statistical data (mean and standard deviations), time series (jitter, kurtosis) and signal / frequency-based features; and machine learning (740) involving classification logic, windowing and time-wrapping etc. Finally, the classification (750) is done about the detected implements like cultivator (752), PTO (754), cage wheel (755), disc plough (756), moldboard plough (758) etc.

Figure 8 shows an exemplary schematic diagram of the hardware configuration of the system developed according to the present invention. Here, the combination (combo) sensor (800) senses the accelerometer (810), Gyro (820), GPS data (830), barometer (840), temperature (850), microphone (860), magnetometer (870), and tractor data (880). The captured data (812, 822, 832, 842, 852, 862, 872, 882) is respectively acquired, processed (814, 824, 834, 844, 854, 864, 874, 884), and data imputation (816, 826, 836, 846, 856, 866, 876, 886) thereof is carried out for subsequently obtaining a sensor data fusion or for data compilation (900) thereof. Thereafter, the data mining (910), usage pattern recognition (920) and machine learning (930) steps are used for the activity recognition (950). Subsequently, the recognized tractor activity (950) is indicated to data monitoring cloud (960) to the tractor’s instrument cluster for issuing a real-time alert (970) and the actuator is triggered for real time action (980). Finally, this data is forwarded at step (990) to a feedback system to inform the concerned user/owner/driver who, in turn, provides further inputs to the data mining process (910), the usage pattern recognition (920) and the machine learning (930) steps.

TECHNICAL ADVANTAGES AND ECONOMIC SIGNIFICANCE

The system configured in accordance with the present invention for recognizing, monitoring, analyzing and issuing alerts about operational misuse and/or about errors noticed therein, has the following advantages:

• Facilitates in recognizing and monitoring tractor/implements’ operations for conducting activities like haulage, land preparation etc.

• Detects the tractor/implements’ abnormal operation and improper/unauthorized usage pattern thereof.

• Alerts the driver/owner about such abnormal tractor/implements’ operation for taking a timely corrective action therefor.

• Continuously studies and analyzes the usage patterns of tractor/implements’ detected operation.

• Controls misuse condition with actuator or controllers inbuilt to tractor.

• Optimizes tractor performance by understanding the application (e.g. optimizing the engine output with respect to the implement attached).

• Conducts failure/breakdown analysis based on tractor usage history.

• Facilitates preventive maintenance based of tractor application history.

• Warranty allotment evaluation based on usage pattern information.

• Provides history information to be used for product design optimization based on the actual usage pattern of tractors.

The foregoing description of the specific embodiments will so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be distinctly understood that the foregoing descriptive matter is to be interpreted merely as illustrative of the invention and not as a limitation.
The exemplary embodiments described in this specification are intended merely to provide an understanding of various manners in which this embodiment may be used and to further enable the skilled person in the relevant art to practice this invention.

Although, the embodiments presented in this disclosure have been described in terms of its preferred embodiments, the skilled person in the art would readily recognize that these embodiments can be applied with modifications possible within the spirit and scope of the present invention as described in this specification by making innumerable changes, variations, modifications, alterations and/or integrations in terms of materials and method used to configure, manufacture and assemble various constituents, components, subassemblies and assemblies, in terms of their size, shapes, orientations and interrelationships without departing from the scope and spirit of the present invention.

The numerical values given of various physical parameters, dimensions and quantities are only approximate values and it is envisaged that the values higher or lower than the numerical value assigned to the physical parameters, dimensions and quantities fall within the scope of the disclosure unless there is a statement in the specification to the contrary.

Throughout this specification, the word “comprise”, or variations such as “comprises” or “comprising”, shall be understood to imply including a described element, integer or method step, or group of elements, integers or method steps, however, does not imply excluding any other element, integer or step, or group of elements, integers or method steps.

The use of the expression “a”, “at least” or “at least one” shall imply using one or more elements or ingredients or quantities, as used in the embodiment of the disclosure in order to achieve one or more of the intended objects or results of the present invention. ,CLAIMS:We claim:

1. A system (110) for recognizing operations of an agricultural machine, such as a tractor/implement operation recognition (TOR) system configured for recognizing, monitoring, analyzing and issuing alerts about operational misuse/s and/or error/s noticed during the operations of the tractor and/or implement/s connected thereto, wherein the system comprises:

• a plurality of sensors to sense and acquire different operational data from the tractor in operation;

• a plurality of respective data processors;

• at least one data transmission means for transmitting the data processed by said data processors to the cloud / server;

• a plurality of respective data imputation means for replacing any missing data;

• at least one data compiler for performing fusion or compilation of said imputed data;

• at least one processor for performing the data mining, recognizing the usage pattern and for machine learning to detect the relevant tractor and/or implement activity;

• at least one means for indicating the recognized tractor activity to the tractor’s instrument cluster for issuing real-time alerts to the user / owner / driver / dealer; and

• at least one trigger for actuating the respective actuator to take the necessary action in real-time by the concerned user / owner / driver / dealer;

wherein said system comprises at least three stages involving the first stage of telematics to predict tractor/implement operation; the second stage of camera for classifying the used implement of the tractor for identifying the concerned tractor/implement application; and the third stage of an application for tagging the user/owner/driver/dealer of said tractor and/or implement to improve said telematics based tractor/implement operation identification.
2. System as claimed in claim 1, wherein said first telematics stage comprises extracting sensor data and vehicle parameters by means of:

(a) a plurality of sensors comprising:

• a GPS sensor (122) for detecting the speed, altitude and position of said tractor/implement;

• at least one 3-direction (x, y, z) accelerometer (128) for detecting acceleration of said tractor/implement;

• a gyro sensor (130) for detecting 3-direction (roll, yaw, pitch) angles of said tractor/implement; and

(b) a plurality of sensors comprising:

• at least one sensor (124) for detecting vehicle parameters like tractor’s speed, rpm, engine temperature, fuel temperature and quantity and ABC pedal condition; and

• a microphone (132) for capturing noise data.

3. System as claimed in claim 1, wherein said second camera stage comprises at least one camera (134) for capturing images of said implement attached to the tractor and for classifying the implement for identifying the misused and/or erroneous tractor/implement application.

4. System as claimed in claim 1, wherein said third stage of application comprises a mobile app or web application/page for the user/owner/driver/dealer of said tractor/implement to tag said tractor/implement application by using said mobile app or web application/page for accurately identifying the tractor/implement’s operation by means of said system.

5. System as claimed in claim 1 to 4, wherein said plurality of sensors is configured as a combination sensor (800) for sensing the senses data of the accelerometer (810), Gyro (820), GPS data (830), barometer (840), temperature (850), microphone (860), magnetometer (870), and tractor (880).

6. System as claimed in claim 5, wherein said plurality of processors process the acquired and captured by means of said plurality of sensors as sensed data (812, 822, 832, 842, 852, 862, 872, 882).

7. System as claimed in claim 6, wherein said data imputation means is configured for subjecting said sensed data for replacing missing data thereof.

8. System as claimed in claim 7, wherein a data compiler fuses the data obtained from said data imputation means to obtain data compilation thereof.

9. System as claimed in claim 8, wherein a microprocessor is provided for processing said data compilation for performing data mining for determining the usage pattern recognition thereof and for machine learning to detect the relevant activity of the tractor and/or implement operation during the land preparation process.

10. System as claimed in claim 9, wherein said tractor activity recognition (TOR) data is monitored in cloud/server and a display is configured for displaying said detected activity on the instrument cluster of the tractor, which is recognized as a non-prescribed activity and an alert is issued to the user/owner/driver of the tractor and/or implement connected thereto to control the misuse of said tractor and/or implement by actuating the respective actuator/s provided therefor.

11. System as claimed in claim 10, wherein a mobile app and/or web page and/or a dealer’s management mobile app/web page is configured for displaying said detected activity issued as a said non-prescribed activity to alert the dealer of said tractor and/or implement connected thereto.

12. System as claimed in claim 1 to 11, wherein a feedback system is provided for informing the tractor user / owner / driver to provide further information to said processor for performing out data mining, usage pattern recognition and machine learning for accurately recognizing the concerned tractor activity.
13. A tractor operation recognition (TOR) method for recognizing, monitoring, analyzing and issuing alerts about operational misuse/s and/or about error/s noticed therein during tractor operations by means of the system (110) as claimed in anyone of the claims 1 to 12, wherein said method comprises the steps of:

• operation recognition by identifying the tractor/implement operation;

• monitoring various data related to said tractor/implement operation;

• analyzing said data to recognize the usage pattern of said tractor/implement; and

• issuing alerts in real-time to the user/owner/driver/dealer of said tractor/implement about said usage pattern thereof and/or misuse/s and/or erroneous use/s thereof for taking corrective the necessary measures therefor in real-time.

14. Method as claimed in claim 12, wherein said operation recognition involves tractor/implement data and user/owner/driver/dealer inputs by means of the method steps comprising:

• using telematics to extract data by means of sensor and vehicle parameters for identifying the tractor/implement operation;

• supplying said extracted data to a predefined/preinstalled machine learning model for predicting the relevant tractor/implement operation;

• capturing camera images of the tractor and implement attached thereto for classifying said implement to identify the concerned tractor application; and

• tagging said identified application by said user/owner/driver/dealer by means of an application, preferably a mobile app or web application/page.

15. Method as claimed in claim 12, wherein said operation monitoring step comprises:
• sensing x, y, z direction (3D) acceleration data from at least one accelerometer;
• sensing roll, yaw, pitch (3D) angle data from at least one gyro;

• sensing engine and fuel temperature data from thermal sensors;

• sensing noise data from microphone; and

• sensing (GPS based) location parameters like speed, rpm, ABC pedal condition and fuel quantity;

wherein said data is captured by means of the first stage of telematics of said system (110).

16. Method as claimed in claim 12, wherein said data analysis step comprises:
(i) Engine analytics involving:
• Detecting wrong tractor engine rpm used with the recognized implement;
• Detecting engine and/or fuel temperature fluctuations; and
• Detecting the presence of lower engine efficiency;

(ii) Driver analytics involving:
• Detecting driving patterns;
• recording fuel efficiency; and
• detecting clutch and/or brake and/or accelerator misuse/s; and

(iii) Tractor analytics involving:
• detecting front lifting;
• detecting excessive wheel slippage;
• detecting transmission misuse/s; and
• confirming compliance with the speed management according to the application;

wherein said monitored data analysis is performed in a rule-based manner by using a predefined/preinstalled machine learning model to identify errors in the actions by the user/owner/driver/dealer by means of said engine analytics for identifying tractor engine related errors; by means of said driver analytics for driver ranking and suggesting the fuel efficiency improvements; and by means of said tractor analytics for overall tractor misuse like front lifting and unbalanced operations.

17. Method as claimed in claim 12, wherein said operational alert step comprises:

• Displaying in real-time the tractor/implement misuse/s and error/s on the tractor’s instrument cluster and/or special indicator/s;

• Displaying the misuse/s and/or driver analytics to the owner/dealer in the mobile app and/or web application/page; and

• Reporting the overall summary of tractor usage and suggesting the improvements for tractor’s operational efficiency.

Digitally Signed.
Dated: this 16th day of March 2018. (SANJAY KESHARWANI)
APPLICANT’S PATENT AGENT