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10.46243/jst.2023.v8.i06.pp110-113 registered

MODEL PREDICTIVE CONTROL OF SMART GREENHOUSES AS THE PATH TOWARDS NEAR ZERO ENERGY CONSUMPTION

Resolves to https://www.jst.org.in/index.php/pub/article/view/728

Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jst.2023.v8.i06.pp110-113

Registered 29 Sep 2026 via crossref · record version 2 · last change 29 Sep 2026, 11:59 PM · record sha256 11aed45d722d75bd…

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What the DOI identifies

JournalArticle — an article in a journal · Digital · Visual · en

MODEL PREDICTIVE CONTROL OF SMART GREENHOUSES AS THE PATH TOWARDS NEAR ZERO ENERGY CONSUMPTION (PrincipalTitle)

Published 2023-08-07

Part of Journal of Science & Technology · ISSN 2456-5660 · volume 8 · issue 7 · pages 110–113

Agents

  • DR. GANGA DINESH KUMAR DR. GANGA DINESH KUMAR (author)
  • Longman Publishers (publisher)

Identifiers DOI 10.46243/jst.2023.v8.i06.pp110-113

Abstract

As we know the fact that, India is the second largest population country in the world and majority of people in India have agriculture as their occupation. Farmers are growing same crops repeatedly without trying new verity of crops and they are applying fertilizers in random quantity without knowing the deficient content and quantity. So, this is directly affecting on crop yield and also causes the soil acidification and damages the top layer. So, we have designed the system using machine learning algorithms for betterment of farmers. Our system will suggest the best suitable crop for particular land based on content and weather parameters. And also, the system provides information about the required content and quantity of fertilizers, required seeds for cultivation. Hence by utilizing our system farmers can cultivate a new variety of crop, may increase in profit margin and can avoid soil pollution.

Licence https://creativecommons.org/licenses/by/4.0

System metadata — ISO 26324:2025, Annex B · DOI Handbook 10.1

Each element by the standard's name (Annex B: reference elements, then administrative) and the Handbook's (in grey), read off the record above.

ElementValueIn the record
DOI Name
DOI name
10.46243/jst.2023.v8.i06.pp110-113doi
Referent Type
referentType
Creationreferent
Referent Sub-Type
referentSubType
JournalArticle — an article in a journaltype
Referent Name(s)
referentName(s)
MODEL PREDICTIVE CONTROL OF SMART GREENHOUSES AS THE PATH TOWARDS NEAR ZERO ENERGY CONSUMPTION (PrincipalTitle, en)titles
Basic Metadata
basicMetadata
author: DR. GANGA DINESH KUMAR DR. GANGA DINESH KUMAR
publisher: Longman Publishers
published: 2023-08-07
part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 8 · no. 7 · pp. 110–113
language: en
form: Digital · Visual · Language
agents, dates, container, language, structural_type, modes, characters
Referent Identifier(s)
alternateIdentifier(s)
none besides the DOIidentifiers, relations (IsSameAs)
Registration Authority
registrationAuthorityCode
Crossref — issued by Crossref (member 25296); held here as a copyrecord.source_agency (our code, ra_doi_name, for names issued here once appointed)
Created Date
issueDate
2024-02-16record.registered (when the DOI name was first registered)
relatedIdentifiersnone needed — the descriptive metadata is in this recordcontainer, relations (only where the descriptive metadata lives at another identifier)

complete Every System Metadata element is here, with the basic metadata a journal article needs.

The System Metadata Declaration (JSON) · the Kernel Metadata Declaration (XML) · what each sub-type needs

History — the ledger

Every change to this DOI, in order, as it was recorded. Entries are only ever added, never changed or removed.

#WhenWhatByChanges
129 Sep 2026, 10:00 PMregister
registered at Crossref; record read from api.crossref.org
Administrator (admin) 68 fields set · sha256 b2b55dec049f…
229 Sep 2026, 11:59 PMupdate
record re-read from api.crossref.org
Administrator (admin)
container.titles.0.value: Journal of Science & Technology → Journal of Science & Technology

Machine-readable: the history as JSON, with the full record after each change.

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