Sign In to Follow Application
View All Documents & Correspondence

Agricultural Product Analysis System And The Content Distribution Of The Same

Abstract: The present invention discloses a system for agricultural product analysis and content distribution of the same comprising a central data centre, mobile or static at least one testing centres and a data receiving device. An agricultural product includes seed, pesticide, insecticide, germicide and fertiliser. Testing centre conducts analysis on sample and communicates the resultant data to central data centre where the result is instantly compared with benchmark database by advanced software solution and detailed report is produced. Benchmark database is prepared by analyzing good quality of agricultural products from different origin, location, types and brands. This report is further communicated to testing centre, authenticated and privileged users and the data receiving devices. This system is useful in early identification of sub-standard or inferior quality agricultural product before cultivation or usage. Further system is able to communicate through audio-visual communication for expert assistance throughout the system.

Get Free WhatsApp Updates!
Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
30 March 2013
Publication Number
19/2013
Publication Type
INA
Invention Field
COMPUTER SCIENCE
Status
Email
info@hkindia.com
Parent Application
Patent Number
Legal Status
Grant Date
2021-05-07
Renewal Date

Applicants

ECS Infotech Pvt. Ltd.
ECS House, 11, Garden View Opp. Auda Garden, Near Merriment Party Plot Sindhu Bhavan Road, Off S.G. Highway Bodakdev, Ahmedabad – 380 054 Gujarat, India

Inventors

1. Mandora Vijay Mansinh
ECS House, 11, Garden View Opp. Auda Garden, Near Merriment Party Plot Sindhu Bhavan Road, Off S.G. Highway Bodakdev, Ahmedabad – 380 054 Gujarat, India

Specification

CLIAMS:We claim:
1. An agricultural product analysis system and the content distribution of the same comprises:
at least one testing centre configured for testing agricultural product samples preparing agricultural product sample data and communicating data to a central database;
a central data centre configured for analyzing agricultural product sample data from testing centre by comparing with benchmark database and communicating analyzed data to end users; and
at least one data receiving device;
wherein agricultural products comprises seeds, pesticides, insecticides, germicides and fertilizers;
wherein said testing centre comprises an internet / intranet connectivity device (Al) connected to a security device (A2) which is connected to a internal connectivity device (A3); a label printer (A5) connected to a sample entry terminal (A4) which is connected to the internal connectivity device (A3); a label scanner (A7) connected to a sample analysis device (A6) which is connected to the internal connectivity device (A3); the audio-visual device (A8) connected to the internal connectivity device (A3);
wherein central database comprises internet / intranet connectivity device (B1) connected to a security device (B2) which is connected to an internal connectivity device (B3); internal connectivity device (B3) connected to an application server (B4), database server (B5) and audio-visual communication server (B6).
2. The agricultural product analysis system according to claim 1, wherein said testing center and said data receiving device are connected to central database through connecting means configured to communicate the data of agricultural product analysis.
3. The agricultural product analysis system according to claim 1, wherein testing centre is static or mobile and situated in different remote location.
4. The agricultural product analysis system according to claim 1, wherein communication of data is limited to certified user.
5. The agricultural product analysis system according to claim 1, wherein testing centre analyze seed sample for components including protein, riboflavin, fat, niacin, ash, vitamins, carbohydrate, acids, fiber, cholesterol, sugars, tryptophan, sucrose, threonine, glucose, isoleucine, fructose, leucine, lactose, lysine, maltose, methionine, galactose, cystine, starch, phenylalanine, calcium, tyrosine, iron, valine, magnesium, arginine, phosphorus, histidine, potassium, alanine, sodium, glycine, zinc, proline, copper, serine, manganese, alcohol, selenium and caffeine.
6. The agricultural product analysis system according to claim 1, wherein testing centre analyze pesticide, insecticide, germicide and fertilizer sample for components including nitrate, phosphate, sulphur, silicate, magnesium, organic matters and CEC (cation exchange capacity).
7. A method for agricultural product analysis wherein the agricultural product consists of seed, pesticide, insecticide, germicide and fertilizer consisting at least one testing centre, a central data centre and at least one data receiving devices comprises of following steps:
a. registering an agricultural product sample at a sample entry terminal (A4) and printing label by a label printer (A5);
b. transporting the agricultural product sample to a sample analysis device (A6) through an internal connectivity device (A3) and scanning by a label scanner (A7);
c. changing analyzer as per the kind of agricultural product need to be analysed;
d. analyzing agricultural products component by the sample analysis device (A6) and generating report and communicating report to an internet / intranet connectivity device (Al) through the internal connectivity device (A3) and a security device (A2);
e. communicating resultant sample data by the internet/ intranet connectivity device (Al) to the central data center through an internet/intranet connectivity device (B1) and a security device (B2) to an internal connectivity device (B3);
f. communicating resultant sample data to an application server (B4) and preparing results by comparing to the benchmark data base stored in a database server (B5) through statistical and graphical reports displaying authenticity, compatibility, resemblance;
g. communicating report to the internet / intranet connectivity device (B1) through the security device (B2) and the internal connectivity device (B3);
h. communicating report to the internet / intranet connectivity device (Al) and the data receiving devices through the internet / intranet connectivity device (B1);
i. communicating audio-visual content to expert assistance for agricultural product data through an audio-visual communication device (B6).
8. Method for agricultural product analysis and the content distribution of the same according to claim 6, wherein agricultural product analysis is based on non destructive bio-chemical and chemical analysis of agricultural product components.
9. Method for agricultural product analysis and the content distribution of the same according to claim 6, wherein communication of data is limited to certified users.
Dated this 30th day of March 2013.
,TagSPECI: FORM 2
THE PATENTS ACT 1970
(39 of 1970)
&
The Patents Rules, 2003
COMPLETE SPECIFICATION
(See section 10 and rule 13)

1. TITLE OF THE INVENTION:
AGRICULTURAL PRODUCT ANALYSIS SYSTEM AND THE CONTENT DISTRIBUTION OF THE SAME
2. APPLICANT:

(a) NAME : ECS Infotech Pvt. Ltd.
(b) NATIONALITY : Indian
(c) ADDRESS : ECS House
11, Garden view
Opp. AUDA Garden
Near Merriment Party Plot
Sindhu Bhavan Road
Off S.G. Highway, Bodakdev
Ahmedabad, Gujarat

3. PREMABLE TO THE DESCRIPTION:

The following specification particularly describes the invention and the manner in which it is to be performed.


Field of the invention
The present invention relates to a system of agricultural product analysis and generation of data and method for deploying network resources in heterogeneous network environments to support agricultural product analysis data communication and distribution.
Back ground of the invention
In the present state of art agricultural product having desirable characteristics are produced commercially for sale in the marketplace. In such instances, quality control tests, such as genetic and trait purity tests may be conducted to determine that the seeds indeed comprise the advertised genetic composition.
In the agricultural industry, and more specifically in the seed, fertilizer, insecticide, germicide and pesticide industries, it is important for scientists to be able to analyze agricultural products with high throughput. By this it is meant that the analysis of the agricultural products preferably occurs not only quickly, but also reliably and with high total volume. For example, in seed breeding, large numbers of seeds are analyzed to determine whether the seeds possess particular phenotypic traits or markers of interest. Historically, seeds were manually examined, weighed, identified for the presence or absence of the desired trait or marker, and then sorted. Such manual seed analysis is a tedious, cumbersome task subject to human error.
Seed quality plays an important role in the production of agronomic and horticultural crops. Characteristics such as trueness to variety, germination percentage and purity are important to farmers planting crops. Achieving and maintaining high seed quality is the goal of every farmer to obtain high yield of harvest. The existent prior art does not provide standardized format for comparing seeds available to farmer and good quality of seed available in current state of art of agriculture. Thus there is a need for seed analysis data communication and comparison system.
The quality of a fertilizer, insecticide, germicide and pesticide is of huge significance in India where 70% of people are employed in agriculture. The wrong or fake agricultural product utilization can actually encourage some weeds and diseases even while helping healthy grass crowd out other invasive. Present state of art in fertilizer, insecticide, germicide and pesticide analysis includes, the elaborate quality control mechanism that exists in India ensures identification of producer and seller of fertilizers, insecticide, germicide and pesticide, specifies types of fertilizer and pesticide manufactured and sold and arranges for periodic and surprise testing of fertilizers in markets in the special approved laboratories. In case of counterfeited fertilizers, insecticide, germicide and pesticides individual farmer are not able to access or compare their sample with that standardized laboratory analyzed data which is a major drawback in current state of art.
Object of the invention
The main object of the present invention is to provide system of agriculture product analysis, generation, communication and distribution of data.
Further object of present invention is non-destructive analysis of agricultural components and generating result that are instantly compared with benchmark data which is stored on central data base server.
Yet another object of the invention is to provide a system with wide reach to the remote areas.
Another object of the present invention is to cull out desired good quality of system from sub-standard or counterfeited agriculture products.
Another object of the present invention is to provide secure data communication of resultant analysis data from central database to various testing centres and other end-users.
Summary of the Invention
The present invention provides a system for agriculture product analysis, data generation and distribution. The system includes at least one testing centre, a central data centre and at least one data receiving device. The central data centre is connected to various testing centre and data receiving devices by various connecting means. Further, connecting means are configured to securely communicate agriculture product analysis data throughout the system. According to present invention, inferior quality of any agriculture product sample components is able to be analyzed by non-destructive bio-chemical, chemical and all other possible types of methods at testing centres by analyzing various seed, fertilizer, insecticide, germicide and pesticide components and parameters. These seed components include protein, fat, glucose, vitamins, carbohydrate, acids, fiber, cholesterol, sugars etc. In present system analyzed sample components are used as a marker to check authenticity and superiority with respect to quality of agriculture products.
Analyzed result is generated at testing centre in pre-defined form and communicated to central data centre, where it is compared with benchmark database stored in the system. Hence testing centre's analyzed result is instantly compared with ideal quality of agricultural product available in state of art in agriculture. Detailed result of comparison is carried out by system which is capable of generating different statistical and graphical reports displaying authenticity, compatibility, resemblance and detailed computed numerical results for all the different parameters. Detailed report is communicated to testing centre as well as data receiving devices. Report provided to client for compare their agricultural product’s quality and authenticity with good quality of agricultural products available in state of art. So any person can make decision about further cultivation of their seed, utilisation of pesticide, insecticide, germicide and fertilizer.
Brief description of the drawings
Fig. 1 is a graphical representation of “Testing centre”
Fig. 2 is a graphical representation of “Central database centre”
Fig. 3 is an integrated combine representation of present invention.
Detailed description of the invention
Before explaining the present invention in detail, it is to be understood that the invention is not limited in its application to the details of the construction and arrangement of parts illustrated in the accompany drawings. The invention is capable of other embodiments, as depicted in different figures as described above and of being practiced or carried out in a variety of ways. It is to be understood that the phraseology and terminology employed herein is for the purpose of description and not of limitation.
The present invention discloses a system for agricultural products analysis, generation of content, communication and distribution of the same. Agricultural products comprises of seed, pesticide, insecticide, germicide and fertilizer.
Figure 1 represents testing centre or laboratories of invention that is located at any remote location anywhere in the world and is static or mobile / portable in nature. An internet / intranet connectivity device (Al) represents an internet / intranet connectivity service for internal connectivity (like testing centre computers) and an external connectivity (like central database server). The internet / intranet connectivity device (Al) is connected to security device (A2), which is further connected to an internal connectivity device (A3). The internal connectivity device (A3) represents a device which connects various components of said testing centre like said a security device (A2), a sample analysis device (A6), an audio-visual communication device (A8) and a sample entry terminal (A4). The sample entry terminal (A4) is directly connected to a label printer device (A5). The sample analysis device (A6) is further connected to a label scanner device (A7).
The internet / intranet connectivity device (Al) is responsible for resultant data transfer inside said testing centre as well as towards a central data centre through any connecting means like world area network (WAN), local area network (LAN) or wi-fi. The internet / intranet connectivity device (Al) connects to security device (A2) which limits access of unauthorised server or users to said system as well as provides access to authenticated user or client. The internal connectivity device (A3) serves as the connecting means for various components which are responsible for resultant data transfer among a security device (A2), a sample entry terminal (A4), a sample analysis device (A6), and an audio-visual communication device (A8). The internal connectivity device (A3) facilitates transfer of initial agricultural product sample data to the sample analysis device (A6), wherein the analysis of sample is done, and then the sample analysis result is transferred to the security device which is communicated toward a central data base. Further, the internal connectivity device (A3) is responsible for communication of sample analysis data to an audio-visual communication device (A8) for expert assistance throughout the world. The sample entry terminal (A4) is terminal entry point for sample which enters the sample data of agricultural product coming for analysis. The sample entry terminal (A4) directly connects to the label printer (A5) which is responsible for creating bar-coded label for each individual sample coming for analysis through sample entry terminal (A4). The label printer (A5) prints unique bar-coded label representing complete data about samples like origins of seed, type of seed, quantity of seed, date of sampling etc. The sample analysis device (A6) is responsible for non-destructive analysis of sample submitted. Different types of agricultural products are analysed in same solution by modification in present system through replacement of suitable components (like analyzer in sample analysis device A6). Once sample is analysed for its components, the result is generated in graphical form and stored. For future reference, the unique bar-code label provided by the label printer (A5) to every sample is used for retrieval purpose. Label scanner device (A7) is any bar-code scanner which scans bar-coded label generated by the label printer (A5). The audio/ visual communication device (A8) provides communication of data to expert and laboratories located in the other regions from the world.
The non-destructive chemical, bio-chemical and all other possible types of agricultural products analysis is done in the sample analysis device (A6) by the ways and method already known in prior art and the person skilled in the art would have the knowledge of the same. This device provides means for analysis of seed composition like protein, riboflavin, fat, niacin, ash, vitamins, carbohydrate, acids, fiber, cholesterol, sugars, tryptophan, sucrose, threonine, glucose, isoleucine, fructose, leucine, lactose, lysine, maltose, methionine, galactose, cystine, starch, phenylalanine, calcium, tyrosine, iron, valine, magnesium, arginine, phosphorus, histidine, potassium, alanine, sodium, glvcine, zinc, praline, copper, serine, manganese, alcohol, selenium, caffeine and others. While for fertilizer, insecticide, germicide and pesticide components like nitrate, phosphate, sulphur, silicate, magnesium, organic matters, CEC (cation exchange capacity) and others are analysed
Figure 2 represents a central data centre which stores data generated at various testing centres and communicates the benchmark data to various authorised remote locations. An internet / intranet connectivity (B1) service is for internal connectivity of central database server and external connectivity of various testing centre computers and other portability devices. The internet / intranet connectivity device (B1) is connected to a security device (B2), which is further connected to an internal connectivity device (B3). Said internal connectivity device (B3) represents a device which connects to the various components of central database centre like said security device (B2), an application server (B4), an audio-visual communication device (B6) and a database server (B5).
The internet / intranet connectivity device (B1) is responsible for agricultural product resultant data transfer into the central database as well as outwards to the various testing centres and other server like various organizations, non governmental organisations (NGO), agricultural universities, law enforcement agencies and educational Institutions etc. through any connecting means like WAN, LAN or Wi-Fi etc. The internet / intranet connectivity device (B1) connects to a security device (B2) which limits access of unauthorised server or users. The security device (B2) provides secured transfer and authorised access to various remote locations. The internal connectivity device (B3) serves connecting means for various components which is responsible for agricultural product data transfer among the security device (B2), an application server (B4), a database server (B5), and an audio-visual communication device (B6).
The central database system with efficient algorithm and logic evaluates the data with reference to the benchmark information and uses advanced analytical logic to derive the data which reflects the authenticity and legitimacy of the sample and provides the detailed report for the same. The system is capable of generating many different statistical and graphical reports displaying authenticity, compatibility, resemblance and detailed computed numerical results for all the different parameters.
This central database is access by any authenticated other server which is situated anywhere in the world. This network particularly includes networks of various organizations, NGOs, agricultural universities, law enforcement agencies and educational institutions etc. The benchmark data of various varieties and products is prepared by sample analysis of good quality agricultural products of different origins, locations, types, brands etc. The samples are collected, analyzed and their results are stored in a database server (B5) as the data to be used for the comparison with different testing centres located throughout the world.
Figure 3 represents whole invention which connects all testing centre, other servers and data receiving devices (e.g. personal digital assistant (PDA), mobile phone, tablet phone, laptop etc.) with central data centre.
The main advantage of this system is early detection of inferior quality or sub-standard agricultural products which are available to farmer. So by implementation of this invention risk associated with cultivation of sub standard seed and use of sub-standard fertilizer, insecticide, germicide and pesticide are minimized.
Further advantage of this system is an instant comparison between agricultural product sample and benchmark database for quality and authenticity.
Further advantage of this system is analysis of agricultural products by non destructive method, so person getting his agricultural product analysed is able to recover back the submitted sample.
The procedure for system of agricultural products analysis, content generation, collection and distribution is as follows:
There are multiple sophisticated testing centres located in different remote areas throughout the world (which can be static or mobile / portable). Any person e.g. farmer comes with their sample of agricultural product being branded or non-branded varieties or products which they want to be analysed through this system. The sample will be submitted to testing centre through the entry terminal (A4). Sample is received by testing operator and registered on basis of various parameters, as its type, quality, brand, kind and other demographic information. After registration of the sample, label is generated by the label printer (A5) for the same sample with unique bar code and is attached to each agricultural product sample.
Agricultural product sample is transported to sample analysis device (A6) through internal connectivity device (A3). The bar code is scanned by the label scanner (A7); the test is conducted by the sample analysis device (A6) for testing various components of agricultural products. Analysis is non-destructive and is based on basic component of agricultural products. Reports are generated based on analysis in one pre-defined format with graphical representation of data received. The result is saved in the system based on bar-code label generated by the label printer (A5) and scanned by the label scanner (A7). This report is communicated to the intranet/internet connection device (Al) through internal connectivity device (A3) and security device (A2). Authenticated access is checked by the security device (A2) and intranet/internet connection device (Al) will communicate the results to the central database server (B1).
The central database receives sample analysis report through intranet/internet connectivity device (B1) and communicates the report towards internal connectivity device (B3) through security device (B2).
Data is collected, analyzed and stored in the system as the benchmark data to be used for the comparison with other samples. A benchmark database is created by analysis of good quality samples of different origins, locations, types, brands etc. Each report is compared, by the application server (B4), with benchmark database which is stored in the database server (B5). Application server (B4) is responsible for hosting the database for the laboratory process application. Further, this system is capable of generating many different statistical and graphical reports displaying authenticity, compatibility, resemblance and detailed computed numerical results for all the different sample component parameters. Detailed report of each sample is prepared by comparison of each report of sample components with the central database centre and securely sent to multiple testing centres through the intranet / internet connectivity device (B1). The central data centre is accessed by privileged and authenticated network server from different institutions and organization across the world for analytical consultation and decision making.
Further, central database have ability to do audio/visual data communication among the branches and various related organizations through communication device (B6). The central database server securely communicates data to data receiving devices.
This is a paid system that provides access to authorised and privileged servers or users who have a licence agreement with service providers. The central database is capable of communicating resultant data to various testing centres which are static or mobile. Mobile / portable testing centre is able to travel through various locations like farm, agricultural university, research centres etc. and perform same function like static testing centres. Comparison of sample result data with benchmark database is responsible for detecting inferior quality or sub-standard fertilizer, insecticide, germicide or pesticide, infected and low germinating seed which is detected by comparison of essential elements present in both sample and benchmark database.
The invention is illustrated more in detail in the following example. The example describes and demonstrates embodiments within the scope of the present invention. This example is given solely for the purpose of illustration and is not to be construed as limitations of the present invention, as many variations thereof are possible without departing from the spirit and scope.
Example 1:
a) Wheat seed sample was registered at the sample entry terminal (A4) and bar coded label was printed by a label printer (A5).
b) Wheat seed sample was transported to the sample analysis device (A6) through the internal connectivity device (A3) and scanned by the label scanner (A7).
c) Wheat component analysis was done by the sample analysis device (A6) and report was generated and communicated to the internet / intranet connectivity device (Al) through the internal connectivity device (A3) and the security device (A2).
d) Analyzed data of wheat component was communicated to the central data centre by an internet / intranet connectivity device (Al) through the internet / intranet connectivity device (B1) and the security device (B2) to the internal connectivity device (B3).
e) Wheat seed data was analyzed and compared in the central data center by the application server (B4) with the benchmark data center which was stored in the data base server (B5).
f) The application server (B4) was responsible for statistical and graphical reports displaying authenticity, compatibility, resemblance with good qualify wheat seed data which was stored in benchmark data center.
g) Report of wheat seed was communicated to the internet / intranet connectivity device (B1) through the security device (B2) and the internal connectivity device (B3).
h) Further report was communicated to the internet / intranet connectivity device (A1) of testing center and data receiving devices through the internet / intranet connectivity device (B1).
Although the preferred embodiment as well as the preparation and use have been specifically described, it should be understood that variations in the preferred embodiment could be achieved by a person skilled in the art without departing from the spirit of the invention. The invention has been described with reference to specific embodiments which are merely illustrative and not intended to limit the scope of the invention as defined in the claims.

Documents

Application Documents

# Name Date
1 Form 5.pdf 2018-08-11
2 Form 3.pdf 2018-08-11
3 Form 26.pdf 2018-08-11
4 FORM 2.pdf 2018-08-11
5 Drawings.pdf 2018-08-11
6 ABSTRACT1.jpg 2018-08-11
7 Abst Diagram.pdf 2018-08-11
8 1257-MUM-2013-Correspondence-120115.pdf 2018-08-11
9 1257-MUM-2013-Correspondence-080715.pdf 2018-08-11
10 1257-MUM-2013-FER.pdf 2019-05-17
11 1257-MUM-2013-FER_SER_REPLY [08-11-2019(online)].pdf 2019-11-08
12 1257-MUM-2013-CLAIMS [08-11-2019(online)].pdf 2019-11-08
13 1257-MUM-2013-FORM-26 [07-04-2021(online)].pdf 2021-04-07
14 1257-MUM-2013-Correspondence to notify the Controller [08-04-2021(online)].pdf 2021-04-08
15 1257-MUM-2013-Written submissions and relevant documents [24-04-2021(online)].pdf 2021-04-24
16 1257-MUM-2013-RELEVANT DOCUMENTS [24-04-2021(online)].pdf 2021-04-24
17 1257-MUM-2013-PETITION UNDER RULE 137 [24-04-2021(online)].pdf 2021-04-24
18 1257-MUM-2013-PatentCertificate07-05-2021.pdf 2021-05-07
19 1257-MUM-2013-IntimationOfGrant07-05-2021.pdf 2021-05-07
20 1257-MUM-2013-US(14)-HearingNotice-(HearingDate-12-04-2021).pdf 2021-10-03
21 1257-MUM-2013-POA [17-03-2022(online)].pdf 2022-03-17
22 1257-MUM-2013-FORM-26 [17-03-2022(online)].pdf 2022-03-17
23 1257-MUM-2013-FORM FOR SMALL ENTITY [17-03-2022(online)].pdf 2022-03-17
24 1257-MUM-2013-FORM 13 [17-03-2022(online)].pdf 2022-03-17
25 1257-MUM-2013-EVIDENCE FOR REGISTRATION UNDER SSI [17-03-2022(online)].pdf 2022-03-17

Search Strategy

1 1257MUM2013_14-05-2019.pdf

ERegister / Renewals

3rd: 15 Jun 2021

From 30/03/2015 - To 30/03/2016

4th: 15 Jun 2021

From 30/03/2016 - To 30/03/2017

5th: 15 Jun 2021

From 30/03/2017 - To 30/03/2018

6th: 15 Jun 2021

From 30/03/2018 - To 30/03/2019

7th: 15 Jun 2021

From 30/03/2019 - To 30/03/2020

8th: 15 Jun 2021

From 30/03/2020 - To 30/03/2021

9th: 15 Jun 2021

From 30/03/2021 - To 30/03/2022

10th: 28 Mar 2022

From 30/03/2022 - To 30/03/2023

11th: 28 Mar 2022

From 30/03/2023 - To 30/03/2024

12th: 28 Mar 2022

From 30/03/2024 - To 30/03/2025

13th: 28 Mar 2022

From 30/03/2025 - To 30/03/2026

14th: 28 Mar 2022

From 30/03/2026 - To 30/03/2027

15th: 28 Mar 2022

From 30/03/2027 - To 30/03/2028

16th: 28 Mar 2022

From 30/03/2028 - To 30/03/2029

17th: 28 Mar 2022

From 30/03/2029 - To 30/03/2030

18th: 28 Mar 2022

From 30/03/2030 - To 30/03/2031

19th: 28 Mar 2022

From 30/03/2031 - To 30/03/2032

20th: 28 Mar 2022

From 30/03/2032 - To 30/03/2033