{"id":"https://openalex.org/W7118180080","doi":"https://doi.org/10.1016/j.softx.2025.102500","title":"GeoEPIC: A comprehensive python package for spatial implementation of EPIC crop simulation model","display_name":"GeoEPIC: A comprehensive python package for spatial implementation of EPIC crop simulation model","publication_year":2026,"publication_date":"2026-01-05","ids":{"openalex":"https://openalex.org/W7118180080","doi":"https://doi.org/10.1016/j.softx.2025.102500"},"language":"en","primary_location":{"id":"doi:10.1016/j.softx.2025.102500","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.softx.2025.102500","pdf_url":null,"source":{"id":"https://openalex.org/S2506067282","display_name":"SoftwareX","issn_l":"2352-7110","issn":["2352-7110"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SoftwareX","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.softx.2025.102500","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104646678","display_name":"Bharath Irigireddy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bharath Irigireddy","raw_affiliation_strings":["USDA-ARS, Maricopa, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USDA-ARS, Maricopa, AZ, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061635161","display_name":"Varaprasad Bandaru","orcid":"https://orcid.org/0000-0002-3533-6837"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Varaprasad Bandaru","raw_affiliation_strings":["USDA-ARS, Maricopa, AZ, USA"],"raw_orcid":"https://orcid.org/0000-0002-3533-6837","affiliations":[{"raw_affiliation_string":"USDA-ARS, Maricopa, AZ, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121943685","display_name":"Sachin Velmurugan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sachin Velmurugan","raw_affiliation_strings":["USDA-ARS, Maricopa, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USDA-ARS, Maricopa, AZ, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101958981","display_name":"Chaitanya Kulkarni","orcid":"https://orcid.org/0000-0002-6130-2016"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chaitanya Kulkarni","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061635161"],"corresponding_institution_ids":[],"apc_list":{"value":500,"currency":"USD","value_usd":500},"apc_paid":{"value":500,"currency":"USD","value_usd":500},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03231818,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"102500","last_page":"102500"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10439","display_name":"Climate change impacts on agriculture","score":0.7605000138282776,"subfield":{"id":"https://openalex.org/subfields/1105","display_name":"Ecology, Evolution, Behavior and Systematics"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10439","display_name":"Climate change impacts on agriculture","score":0.7605000138282776,"subfield":{"id":"https://openalex.org/subfields/1105","display_name":"Ecology, Evolution, Behavior and Systematics"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.0340999998152256,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.02590000070631504,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.9246000051498413},{"id":"https://openalex.org/keywords/scripting-language","display_name":"Scripting language","score":0.7335000038146973},{"id":"https://openalex.org/keywords/epic","display_name":"EPIC","score":0.632099986076355},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.39590001106262207},{"id":"https://openalex.org/keywords/toolchain","display_name":"Toolchain","score":0.3610000014305115},{"id":"https://openalex.org/keywords/streamlines-streaklines-and-pathlines","display_name":"Streamlines, streaklines, and pathlines","score":0.2800999879837036}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.9246000051498413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7626000046730042},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.7335000038146973},{"id":"https://openalex.org/C115519274","wikidata":"https://www.wikidata.org/wiki/Q267903","display_name":"EPIC","level":2,"score":0.632099986076355},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.39590001106262207},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3910999894142151},{"id":"https://openalex.org/C2777062904","wikidata":"https://www.wikidata.org/wiki/Q545406","display_name":"Toolchain","level":3,"score":0.3610000014305115},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3398999869823456},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.29739999771118164},{"id":"https://openalex.org/C60439489","wikidata":"https://www.wikidata.org/wiki/Q634407","display_name":"Streamlines, streaklines, and pathlines","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C73752529","wikidata":"https://www.wikidata.org/wiki/Q79872","display_name":"Object-oriented programming","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.26159998774528503},{"id":"https://openalex.org/C2989409935","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Crop production","level":3,"score":0.2612999975681305},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.2547999918460846}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.softx.2025.102500","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.softx.2025.102500","pdf_url":null,"source":{"id":"https://openalex.org/S2506067282","display_name":"SoftwareX","issn_l":"2352-7110","issn":["2352-7110"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SoftwareX","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:afad973bed9e412ebe0db7c3e3a5e6fb","is_oa":true,"landing_page_url":"https://doaj.org/article/afad973bed9e412ebe0db7c3e3a5e6fb","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SoftwareX, Vol 33, Iss , Pp 102500- (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.softx.2025.102500","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.softx.2025.102500","pdf_url":null,"source":{"id":"https://openalex.org/S2506067282","display_name":"SoftwareX","issn_l":"2352-7110","issn":["2352-7110"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SoftwareX","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","score":0.6496074199676514,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G3149676365","display_name":null,"funder_award_id":"80NSSC23K0182","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G7465857552","display_name":null,"funder_award_id":"80NSSC21K0968","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"}],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320306114","display_name":"U.S. Department of Agriculture","ror":"https://ror.org/01na82s61"},{"id":"https://openalex.org/F4320332605","display_name":"Agricultural Research Service","ror":"https://ror.org/02d2m2044"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1970364817","https://openalex.org/W1984671422","https://openalex.org/W1994668402","https://openalex.org/W2011301426","https://openalex.org/W2016769009","https://openalex.org/W2029707116","https://openalex.org/W2033481223","https://openalex.org/W2035110811","https://openalex.org/W2051718657","https://openalex.org/W2062072073","https://openalex.org/W2067359563","https://openalex.org/W2073252158","https://openalex.org/W2086895388","https://openalex.org/W2126105956","https://openalex.org/W2134307851","https://openalex.org/W2152195021","https://openalex.org/W2158883105","https://openalex.org/W2342249984","https://openalex.org/W2790864335","https://openalex.org/W2883315486","https://openalex.org/W3086784814","https://openalex.org/W3166420679","https://openalex.org/W3212694073","https://openalex.org/W4241793634","https://openalex.org/W4396999977"],"related_works":[],"abstract_inverted_index":{"The":[0],"Environmental":[1],"Policy":[2],"Integrated":[3],"Climate":[4],"(EPIC)":[5],"model":[6,12,86],"is":[7,29],"a":[8,38,70],"comprehensive,":[9],"field-scale":[10],"agroecosystem":[11],"widely":[13],"used":[14],"for":[15,106],"both":[16],"diagnostic":[17],"and":[18,59,90,98,110],"prognostic":[19],"analyses":[20],"in":[21,114,118],"agriculture.":[22],"However,":[23],"its":[24,33,104],"application":[25,105],"at":[26],"regional":[27],"scales":[28],"limited":[30,39],"due":[31],"to":[32,36,50],"original":[34],"design":[35],"simulate":[37],"number":[40],"of":[41],"fields.":[42],"Custom":[43],"Python":[44,72],"or":[45],"R":[46],"scripts":[47],"have":[48],"attempted":[49],"scale":[51],"EPIC,":[52],"but":[53],"they":[54],"are":[55],"often":[56],"inefficient,":[57],"non-standardized,":[58],"not":[60],"publicly":[61],"available.":[62],"To":[63],"address":[64],"these":[65],"issues,":[66],"we":[67],"developed":[68],"GeoEPIC,":[69],"comprehensive":[71],"package":[73],"that":[74],"streamlines":[75],"spatial":[76,84],"EPIC":[77],"implementation.":[78],"GeoEPIC":[79],"automates":[80],"input":[81],"generation":[82],"from":[83],"datasets,":[85],"calibration,":[87],"simulation":[88],"execution,":[89],"output":[91],"post-processing.":[92],"This":[93],"paper":[94],"introduces":[95],"GeoEPIC\u2019s":[96],"structure":[97],"functionality":[99],"through":[100],"illustrative":[101],"examples":[102],"demonstrating":[103],"crop":[107],"yield":[108],"estimation":[109],"simulating":[111],"water":[112],"use":[113],"irrigated":[115],"soybean":[116],"systems":[117],"Nebraska.":[119]},"counts_by_year":[],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2026-01-05T00:00:00"}