Kernel Metadata Declaration — on demand
ISO 26324 asks a DOI Registration Agency to produce a Kernel Metadata Declaration for every DOI it issues. Give any DOI: its public record becomes a record in the Smart Scholars DOI Metadata Format 1.0, checked against every rule, and declared as the Kernel XML.
✓ Meets every rule of the format
The record below is complete and every controlled value is a DOI Attribute Value Set 2.3 spelling. The Declaration on the right follows DOIMetadataKernel.xsd element by element.
What the DOI identifies
Field Monitoring System for Farmers
10.46243/jst.2021.v6.i04.pp144-151 · JournalArticle — an article in a journal · Digital · Visual · Language · en
Published 2021-08-16
Part of Journal of Science & Technology · ISSN 2456-5660 · vol. 06 · no. 01 · pp. 144–151
Principal agents
- Vishakha Nehete (author → Author)
- Shahid Tamboli (author → Author)
- Neha Nili (author → Author)
- Longman Publishers (publisher → Publisher)
Also in the record, outside the Kernel: the abstract, the licence, 4 links, 10 references. Source: Crossref (member 25296), registered 2026-09-10, last deposited 2026-09-20.
System metadata — ISO 26324:2025, Annex B · DOI Handbook 10.1
Each element by the standard's name and the Handbook's (in grey), read off the record.
| DOI Name DOI name | 10.46243/jst.2021.v6.i04.pp144-151 |
| Referent Type referentType | Creation |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal |
| Referent Name(s) referentName(s) | Field Monitoring System for Farmers (PrincipalTitle, en) |
| Basic Metadata basicMetadata | author: Vishakha Nehete author: Shahid Tamboli author: Neha Nili publisher: Longman Publishers published: 2021-08-16 part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 06 · no. 01 · pp. 144–151 language: en form: Digital · Visual · Language |
| Referent Identifier(s) alternateIdentifier(s) | none besides the DOI |
| Registration Authority registrationAuthorityCode | Crossref — issued by Crossref (member 25296); held here as a copy |
| Created Date issueDate | 2026-09-10 |
| relatedIdentifiers | none needed — the descriptive metadata is in this record |
The record
{
"format": "smartscholars-doi-metadata/1.0",
"doi": "10.46243/jst.2021.v6.i04.pp144-151",
"referent": "Creation",
"type": "JournalArticle",
"structural_type": "Digital",
"modes": [
"Visual"
],
"characters": [
"Language"
],
"titles": [
{
"value": "Field Monitoring System for Farmers",
"type": "PrincipalTitle",
"lang": "en"
}
],
"identifiers": [
{
"type": "DOI",
"value": "10.46243/jst.2021.v6.i04.pp144-151"
}
],
"agents": [
{
"role": "author",
"name": {
"given": "Vishakha",
"family": "Nehete"
},
"sequence": "first"
},
{
"role": "author",
"name": {
"given": "Shahid",
"family": "Tamboli"
},
"sequence": "additional"
},
{
"role": "author",
"name": {
"given": "Neha",
"family": "Nili"
},
"sequence": "additional"
},
{
"role": "publisher",
"name": {
"org": "Longman Publishers"
}
}
],
"dates": {
"published": "2021-08-16",
"date_type": "PublicationDate",
"online": "2021-08-16"
},
"language": "en",
"container": {
"type": "Journal",
"titles": [
{
"value": "Journal of Science & Technology",
"type": "PrincipalTitle"
}
],
"identifiers": [
{
"type": "ISSN",
"value": "2456-5660",
"medium": "electronic"
}
],
"volume": "06",
"issue": "01",
"pages": {
"first": "144",
"last": "151"
}
},
"links": [
{
"url": "https://www.jst.org.in/index.php/pub/article/view/683",
"return_type": "text/html",
"primary": true
},
{
"url": "https://www.jst.org.in/index.php/pub/article/download/683/611",
"purpose": "text-mining",
"return_type": "application/pdf"
},
{
"url": "https://www.jst.org.in/index.php/pub/article/download/683/2855",
"purpose": "text-mining",
"return_type": "application/xml"
},
{
"url": "https://www.jst.org.in/index.php/pub/article/view/683/611",
"purpose": "similarity-checking"
}
],
"abstract": {
"value": "We propose a computer vision device that utilizes a multi-spectral imaging sensor to detect external defects on orange citrus fruits. To begin, the proposed algorithm segments the orange fruit solely using the NIR portion of the captured Near-Infrared (NIR) and RGB images. Second, segmented RGB and NIR orange fruit images are pre- processed using certain adaptive pre-processing techniques. As a result, a thresholding technique is used to detect defects in the orange fruit's seven distinct color components. Finally, voters vote on whether or not the citrus fruit image is flawed based on the seven threshold color variable images. Utilities and parcel distribution companies have increased their performance over the last year. Online shopping provides many benefits to the postal and distribution industries. The seller's items are packaged in box-shaped cardboard boxes or wooden boxes in a variety of sizes. A contour-based shape representation algorithm is used to detect contoured objects. Contour is made up of fragments of edge or curve that represent geometric concepts. The object's size must be determined in order to determine its surface area. Dimensions are sometimes used to refer to an item's length, width, and height. The volume of the parcel box will be calculated using a multiplication programmed based on its length, width, and height. As a result, in a computer vision-based automated sorting system, contour-based object detection could be used to determine the volume of an object. The most critical characteristics for correct citrus classification and sorting are color and size.",
"lang": "en"
},
"license": {
"url": "https://creativecommons.org/licenses/by/4.0",
"start": "2021-08-16",
"applies_to": "vor"
},
"references": [
{
"key": "ref1",
"unstructured": "M. A. Abdurrahman, G.M. Gebru and T.T. Bezabih, “Sensor BasedAutomatic Irrigation Management System.” in International Journal ofComputer and Information Technology (ISSN: 2279–0764), Volume04–Issue 03, May 2015"
},
{
"key": "ref2",
"doi": "10.1109/eit.2014.6871748",
"unstructured": "A. Tuli, N. Hasteer, M. Sharma, and A. Bansal, “Framework toleverage cloud for the modernization of the Indian agriculture system.”in IEEE International Conference on Electro/Information Technology (EIT), pp. 109-115. 2014"
},
{
"key": "ref3",
"doi": "10.5815/ijigsp.2015.09.02",
"unstructured": "Mohana S.H.,Prabhakar C.J.. Automatic Detection of Surface Defects on Citrus Fruit based on Computer Vision Techniques[J]. International Journal of Image, Graphics and Signal Processing(IJIGSP),2015"
},
{
"key": "ref4",
"unstructured": "Gao xinhao, liu bin. Design and test of the classifier for quality detection of fresh corn based on machine vision [J]. Journal of agricultural engineering,2016"
},
{
"key": "ref5",
"unstructured": "Hu fa huan, dong zengwen, kuang yishun. An online grading detection system for umbilical cord orange quality based on machine vision [J]. Journal of China agricultural university,2016. www.jst.org.in 150 | Page Field Monitoring System For Farmers"
},
{
"key": "ref6",
"unstructured": "Xu liming, lu jidong. Image segmentation of yangmei based on homomorphic filtering and k-mean clustering algorithm [J]. Journal of agricultural engineering,2015"
},
{
"key": "ref7",
"unstructured": "Li han, wang ku, cao qian, Yin jingjing. Extraction and matching of tomato multi-target based on machine vision [J]. Journal of agricultural engineering,2012"
},
{
"key": "ref8",
"doi": "10.1109/tpami.2016.2601099",
"unstructured": "Ren S, He K, Girshick R,et al.Object detection networks on convolutional feature maps[J].IEEE transactions on pattern analysis and machine intelligence, 2017"
},
{
"key": "ref9",
"unstructured": "Hu fa huan, dong zengwen, kuang yishun. An online grading detection system for umbilical cord orange quality based on machine vision [J]. Journal of China agricultural university,2016,118-124"
},
{
"key": "ref10",
"unstructured": "Hu Fa haun guo-ping liu, hu, Rong China Dong Zengwen. And support vector machine (SVM) based on machine vision of navel orange quality grading detection [J]. Journal of Beijing university of technology. 2014"
}
],
"record": {
"registrant": "Longman Publishers",
"registered": "2026-09-10",
"updated": "2026-09-20",
"issue_number": 1,
"source": "crossref-api",
"source_agency": "Crossref (member 25296)"
}
}The Kernel Metadata Declaration
DOIMetadataKernel.xsd · namespace http://www.doi.org/2010/DOISchema · Attribute Value Sets 2.3 · draft — the agency's DOI name is filled in on accreditation
<?xml version="1.0" encoding="UTF-8"?>
<!-- DRAFT declaration: Smart Scholars is not yet a DOI Registration Agency. registrationAgencyDoiName is a marker (10.0/ is no RA's prefix) and is filled in on accreditation. -->
<kernelMetadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.doi.org/2010/DOISchema https://www.doi.org/doi_schemas/DOIMetadataKernel.xsd" xmlns="http://www.doi.org/2010/DOISchema">
<referentDoiName>10.46243/jst.2021.v6.i04.pp144-151</referentDoiName>
<primaryReferentType>Creation</primaryReferentType>
<registrationAgencyDoiName>10.0/smart-scholars-draft</registrationAgencyDoiName>
<issueDate>2026-10-04</issueDate>
<issueNumber>1</issueNumber>
<referentCreation>
<name primaryLanguage="en">
<value>Field Monitoring System for Farmers</value>
<type>PrincipalTitle</type>
</name>
<identifier>
<nonUriValue>10.46243/jst.2021.v6.i04.pp144-151</nonUriValue>
<uri returnType="text/html" doesContentNegotiation="true">https://doi.org/10.46243/jst.2021.v6.i04.pp144-151</uri>
<type>DOI</type>
</identifier>
<identifier>
<uri returnType="text/html">https://www.jst.org.in/index.php/pub/article/view/683</uri>
<type>URI</type>
</identifier>
<identifier>
<uri>https://www.jst.org.in/index.php/pub/article/download/683/611</uri>
<type>URI</type>
</identifier>
<identifier>
<uri returnType="application/xml">https://www.jst.org.in/index.php/pub/article/download/683/2855</uri>
<type>URI</type>
</identifier>
<identifier>
<uri>https://www.jst.org.in/index.php/pub/article/view/683/611</uri>
<type>URI</type>
</identifier>
<structuralType>Digital</structuralType>
<mode>Visual</mode>
<character>Language</character>
<type>JournalArticle</type>
<principalAgent>
<name>
<value>Vishakha Nehete</value>
<type>PrincipalName</type>
</name>
<role>Author</role>
</principalAgent>
<principalAgent>
<name>
<value>Shahid Tamboli</value>
<type>PrincipalName</type>
</name>
<role>Author</role>
</principalAgent>
<principalAgent>
<name>
<value>Neha Nili</value>
<type>PrincipalName</type>
</name>
<role>Author</role>
</principalAgent>
<principalAgent>
<name>
<value>Longman Publishers</value>
<type>PrincipalName</type>
</name>
<role>Publisher</role>
</principalAgent>
<linkedCreation>
<name>
<value>Journal of Science & Technology</value>
<type>PrincipalTitle</type>
</name>
<identifier>
<nonUriValue>2456-5660</nonUriValue>
<type>ISSN</type>
</identifier>
<referentCreationRole>Part</referentCreationRole>
<referentCreationSequenceIdentifier>
<value>06</value>
<type>VolumeNumber</type>
</referentCreationSequenceIdentifier>
<referentCreationSequenceIdentifier>
<value>01</value>
<type>IssueNumber</type>
</referentCreationSequenceIdentifier>
<referentCreationSequenceIdentifier>
<value>144-151</value>
<type>PageNumber</type>
</referentCreationSequenceIdentifier>
</linkedCreation>
<language>en</language>
<languageOfReferentContent>
<language>en</language>
<languageOfReferentContentType>Original</languageOfReferentContentType>
</languageOfReferentContent>
<creationDate>
<date>2021-08-16</date>
<creationDateType>PublicationDate</creationDateType>
</creationDate>
</referentCreation>
</kernelMetadata>
