Rice Pest Dataset Supports The Construction of Smart Farming Systems
The total collected data consists of 3,156 images categorized into 10 different types of pests and diseases on rice. Additionally, this data has been analyzed and evaluated by from Cuu Long Delta Rice Research Institute
Gespeichert in:
Hauptverfasser: | , , , |
---|---|
Format: | Dataset |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | Luyl-Da Quach Khang Nguyen Quoc Anh Nguyen Quynh Lan Le Thi Thu |
description | The total collected data consists of 3,156 images categorized into 10 different types of pests and diseases on rice. Additionally, this data has been analyzed and evaluated by from Cuu Long Delta Rice Research Institute |
doi_str_mv | 10.5281/zenodo.8418216 |
format | Dataset |
fullrecord | <record><control><sourceid>datacite_PQ8</sourceid><recordid>TN_cdi_datacite_primary_10_5281_zenodo_8418216</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_5281_zenodo_8418216</sourcerecordid><originalsourceid>FETCH-datacite_primary_10_5281_zenodo_84182163</originalsourceid><addsrcrecordid>eNqVzrsOgkAQheFtLIzaWs8LiCxeQg8SSyP0mw0Muol7yc5Q4NOLkRewOtV_8gmxlWlyynK5f6PznU_yo8wzeV6K8m5ahBsSQ6lZEzLUQwg-MkHzRCi8I45Dy8Y78D3UVkeGSkdr3APqkRgtrcWi1y_CzbwrkVSXprjuuumyNYwqRDOFo5Kp-jLUj6FmxuHv4APsg0It</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>dataset</recordtype></control><display><type>dataset</type><title>Rice Pest Dataset Supports The Construction of Smart Farming Systems</title><source>DataCite</source><creator>Luyl-Da Quach ; Khang Nguyen Quoc ; Anh Nguyen Quynh ; Lan Le Thi Thu</creator><creatorcontrib>Luyl-Da Quach ; Khang Nguyen Quoc ; Anh Nguyen Quynh ; Lan Le Thi Thu</creatorcontrib><description>The total collected data consists of 3,156 images categorized into 10 different types of pests and diseases on rice. Additionally, this data has been analyzed and evaluated by from Cuu Long Delta Rice Research Institute</description><identifier>DOI: 10.5281/zenodo.8418216</identifier><language>eng</language><publisher>Zenodo</publisher><subject>Agriculture Dataset ; Computer Vision ; eXplainable Artificial Intelligence ; Pest Classification ; Smart Farming System</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0003-4927-4822 ; 0009-0002-8676-7618 ; 0000-0002-5661-4250 ; 0000-0003-4947-340X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,1894</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.5281/zenodo.8418216$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Luyl-Da Quach</creatorcontrib><creatorcontrib>Khang Nguyen Quoc</creatorcontrib><creatorcontrib>Anh Nguyen Quynh</creatorcontrib><creatorcontrib>Lan Le Thi Thu</creatorcontrib><title>Rice Pest Dataset Supports The Construction of Smart Farming Systems</title><description>The total collected data consists of 3,156 images categorized into 10 different types of pests and diseases on rice. Additionally, this data has been analyzed and evaluated by from Cuu Long Delta Rice Research Institute</description><subject>Agriculture Dataset</subject><subject>Computer Vision</subject><subject>eXplainable Artificial Intelligence</subject><subject>Pest Classification</subject><subject>Smart Farming System</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2023</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNqVzrsOgkAQheFtLIzaWs8LiCxeQg8SSyP0mw0Muol7yc5Q4NOLkRewOtV_8gmxlWlyynK5f6PznU_yo8wzeV6K8m5ahBsSQ6lZEzLUQwg-MkHzRCi8I45Dy8Y78D3UVkeGSkdr3APqkRgtrcWi1y_CzbwrkVSXprjuuumyNYwqRDOFo5Kp-jLUj6FmxuHv4APsg0It</recordid><startdate>202312</startdate><enddate>202312</enddate><creator>Luyl-Da Quach</creator><creator>Khang Nguyen Quoc</creator><creator>Anh Nguyen Quynh</creator><creator>Lan Le Thi Thu</creator><general>Zenodo</general><scope>DYCCY</scope><scope>PQ8</scope><orcidid>https://orcid.org/0000-0003-4927-4822</orcidid><orcidid>https://orcid.org/0009-0002-8676-7618</orcidid><orcidid>https://orcid.org/0000-0002-5661-4250</orcidid><orcidid>https://orcid.org/0000-0003-4947-340X</orcidid></search><sort><creationdate>202312</creationdate><title>Rice Pest Dataset Supports The Construction of Smart Farming Systems</title><author>Luyl-Da Quach ; Khang Nguyen Quoc ; Anh Nguyen Quynh ; Lan Le Thi Thu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_5281_zenodo_84182163</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Agriculture Dataset</topic><topic>Computer Vision</topic><topic>eXplainable Artificial Intelligence</topic><topic>Pest Classification</topic><topic>Smart Farming System</topic><toplevel>online_resources</toplevel><creatorcontrib>Luyl-Da Quach</creatorcontrib><creatorcontrib>Khang Nguyen Quoc</creatorcontrib><creatorcontrib>Anh Nguyen Quynh</creatorcontrib><creatorcontrib>Lan Le Thi Thu</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Luyl-Da Quach</au><au>Khang Nguyen Quoc</au><au>Anh Nguyen Quynh</au><au>Lan Le Thi Thu</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>Rice Pest Dataset Supports The Construction of Smart Farming Systems</title><date>2023-12</date><risdate>2023</risdate><abstract>The total collected data consists of 3,156 images categorized into 10 different types of pests and diseases on rice. Additionally, this data has been analyzed and evaluated by from Cuu Long Delta Rice Research Institute</abstract><pub>Zenodo</pub><doi>10.5281/zenodo.8418216</doi><orcidid>https://orcid.org/0000-0003-4927-4822</orcidid><orcidid>https://orcid.org/0009-0002-8676-7618</orcidid><orcidid>https://orcid.org/0000-0002-5661-4250</orcidid><orcidid>https://orcid.org/0000-0003-4947-340X</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | DOI: 10.5281/zenodo.8418216 |
ispartof | |
issn | |
language | eng |
recordid | cdi_datacite_primary_10_5281_zenodo_8418216 |
source | DataCite |
subjects | Agriculture Dataset Computer Vision eXplainable Artificial Intelligence Pest Classification Smart Farming System |
title | Rice Pest Dataset Supports The Construction of Smart Farming Systems |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T00%3A43%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-datacite_PQ8&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.au=Luyl-Da%20Quach&rft.date=2023-12&rft_id=info:doi/10.5281/zenodo.8418216&rft_dat=%3Cdatacite_PQ8%3E10_5281_zenodo_8418216%3C/datacite_PQ8%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |