{"id":"https://openalex.org/W4410772600","doi":"https://doi.org/10.1145/3727353.3727358","title":"Research on Crop Planting Strategies Based on 0-1 Optimization Decision Model","display_name":"Research on Crop Planting Strategies Based on 0-1 Optimization Decision Model","publication_year":2025,"publication_date":"2025-01-10","ids":{"openalex":"https://openalex.org/W4410772600","doi":"https://doi.org/10.1145/3727353.3727358"},"language":"en","primary_location":{"id":"doi:10.1145/3727353.3727358","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3727353.3727358","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727358","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727358","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5117711925","display_name":"Shuhang Cong","orcid":"https://orcid.org/0009-0004-4817-797X"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhang Cong","raw_affiliation_strings":["School of North China Electric Power University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-4817-797X","affiliations":[{"raw_affiliation_string":"School of North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103950944","display_name":"S. L. Ni","orcid":null},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shen Ni","raw_affiliation_strings":["School of North China Electric Power University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-6672-8515","affiliations":[{"raw_affiliation_string":"School of North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035075777","display_name":"G.K. Zhang","orcid":"https://orcid.org/0009-0001-8827-9995"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoye Zhang","raw_affiliation_strings":["School of North China Electric Power University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-8827-9995","affiliations":[{"raw_affiliation_string":"School of North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I153473198"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10466507,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"26","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.576200008392334,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.576200008392334,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13244","display_name":"Analysis of environmental and stochastic processes","score":0.5666000247001648,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14155","display_name":"Advanced Technology in Applications","score":0.5273000001907349,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5356801152229309},{"id":"https://openalex.org/keywords/crop","display_name":"Crop","score":0.5273051261901855},{"id":"https://openalex.org/keywords/sowing","display_name":"Sowing","score":0.4857490658760071},{"id":"https://openalex.org/keywords/agricultural-engineering","display_name":"Agricultural engineering","score":0.4583989083766937},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.42213982343673706},{"id":"https://openalex.org/keywords/crop-management","display_name":"Crop management","score":0.4175896644592285},{"id":"https://openalex.org/keywords/decision-model","display_name":"Decision model","score":0.4165636897087097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1884954869747162},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1849973201751709},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.13507935404777527},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12726718187332153},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.1197892427444458},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07387691736221313}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5356801152229309},{"id":"https://openalex.org/C137580998","wikidata":"https://www.wikidata.org/wiki/Q235352","display_name":"Crop","level":2,"score":0.5273051261901855},{"id":"https://openalex.org/C168741863","wikidata":"https://www.wikidata.org/wiki/Q777671","display_name":"Sowing","level":2,"score":0.4857490658760071},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.4583989083766937},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.42213982343673706},{"id":"https://openalex.org/C2988270110","wikidata":"https://www.wikidata.org/wiki/Q17080711","display_name":"Crop management","level":3,"score":0.4175896644592285},{"id":"https://openalex.org/C59594135","wikidata":"https://www.wikidata.org/wiki/Q5249242","display_name":"Decision model","level":2,"score":0.4165636897087097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1884954869747162},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1849973201751709},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.13507935404777527},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12726718187332153},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.1197892427444458},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07387691736221313},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3727353.3727358","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3727353.3727358","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727358","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3727353.3727358","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3727353.3727358","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3727353.3727358","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410772600.pdf","grobid_xml":"https://content.openalex.org/works/W4410772600.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1759188737","https://openalex.org/W2024174604","https://openalex.org/W2098602030","https://openalex.org/W2389212540","https://openalex.org/W4226223990","https://openalex.org/W4313292699","https://openalex.org/W4367301160","https://openalex.org/W6609836974","https://openalex.org/W6637929739","https://openalex.org/W6792072340"],"related_works":["https://openalex.org/W2382423801","https://openalex.org/W2361404876","https://openalex.org/W2372348061","https://openalex.org/W2465564953","https://openalex.org/W4301206481","https://openalex.org/W2355049521","https://openalex.org/W4302335049","https://openalex.org/W4401171883","https://openalex.org/W4292355446","https://openalex.org/W2080384893"],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,78,84,102],"imbalance":[3],"between":[4],"arable":[5],"land":[6],"availability":[7],"and":[8,73,109],"agricultural":[9,31,114],"demands":[10],"in":[11,64,97,105],"a":[12,20,35,89],"northern":[13],"Chinese":[14],"rural":[15],"community,":[16],"this":[17],"study":[18],"proposes":[19],"data-driven":[21],"crop":[22,70],"planting":[23,86],"strategy":[24],"for":[25,112],"maximizing":[26],"economic":[27],"benefits.":[28],"Leveraging":[29],"2023":[30],"datasets,":[32],"we":[33],"developed":[34],"0-1":[36],"mixed-integer":[37],"linear":[38],"programming":[39],"(MILP)":[40],"model":[41,51],"that":[42],"optimizes":[43],"seasonal":[44],"cultivation":[45],"decisions":[46],"across":[47],"heterogeneous":[48],"plots.":[49],"The":[50],"integrates":[52],"critical":[53],"operational":[54],"constraints":[55],"including":[56],"unsold":[57],"surplus":[58],"losses":[59],"(accounted":[60],"through":[61],"discounted":[62],"pricing":[63],"Scenario":[65],"2),":[66],"plot":[67],"capacity":[68],"limits,":[69],"rotation":[71],"rules,":[72],"irrigation":[74],"restrictions.":[75],"Implemented":[76],"with":[77],"Particle":[79],"Swarm":[80],"Optimization":[81],"(PSO)":[82],"algorithm,":[83],"optimized":[85],"plan":[87],"projects":[88],"total":[90],"revenue":[91],"of":[92],"10.72":[93],"million":[94],"yuan":[95],"(RMB)":[96],"2024.":[98],"These":[99],"results":[100],"demonstrate":[101],"model's":[103],"efficacy":[104],"sustainable":[106],"resource":[107],"allocation":[108],"its":[110],"scalability":[111],"analogous":[113],"systems.":[115]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
