{"id":"https://openalex.org/W7127071104","doi":"https://doi.org/10.1051/shsconf/202521601018/pdf","title":"Optimizing Wheat Yields: AI and IoT Techniques for Continuous Agricultural Monitoring","display_name":"Optimizing Wheat Yields: AI and IoT Techniques for Continuous Agricultural Monitoring","publication_year":2025,"publication_date":"2025-05-23","ids":{"openalex":"https://openalex.org/W7127071104","doi":"https://doi.org/10.1051/shsconf/202521601018/pdf"},"language":"en","primary_location":{"id":"pmh:oai:edpsciences.org:dkey/10.1051/shsconf/202521601018","doi":"https://doi.org/10.1051/shsconf/202521601018/pdf","is_oa":true,"landing_page_url":"https://www.shs-conferences.org/10.1051/shsconf/202521601018/pdf","pdf_url":"https://www.shs-conferences.org/10.1051/shsconf/202521601018/pdf","source":{"id":"https://openalex.org/S4306400744","display_name":"Springer Link (Chiba Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I8488066","host_organization_name":"Chiba Institute of Technology","host_organization_lineage":["https://openalex.org/I8488066"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1051/shsconf/202521601018","raw_type":"Text"},"volume":null,"type":"article","indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.shs-conferences.org/10.1051/shsconf/202521601018/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124857468","display_name":"Manish Nandy","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2800614057","display_name":"Kalinga University","ror":"https://ror.org/03afg5j45","country_code":"IN","type":"education","lineage":["https://openalex.org/I2800614057"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manish Nandy","raw_affiliation_strings":["Department of CS & IT , Kalinga University , Raipur , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CS & IT , Kalinga University , Raipur , India","institution_ids":["https://openalex.org/I2800614057"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124825046","display_name":"Md Afzal","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2800614057","display_name":"Kalinga University","ror":"https://ror.org/03afg5j45","country_code":"IN","type":"education","lineage":["https://openalex.org/I2800614057"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Md Afzal","raw_affiliation_strings":["Research Scholar , Department of CS & IT , Kalinga University , Raipur , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Scholar , Department of CS & IT , Kalinga University , Raipur , India","institution_ids":["https://openalex.org/I2800614057"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2800614057"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.48762603,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"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/T10616","display_name":"Smart Agriculture and AI","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"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/T13038","display_name":"Internet of Things and AI","score":0.0,"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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.0,"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/internet-of-things","display_name":"Internet of Things","score":0.6570000052452087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"artificial intelligence","score":0.8199999928474426},{"id":"https://openalex.org/keywords/precision-agriculture","display_name":"precision agriculture","score":0.8769999742507935},{"id":"https://openalex.org/keywords/smart-agriculture","display_name":"smart agriculture","score":0.7319999933242798},{"id":"https://openalex.org/keywords/crop-yield-prediction","display_name":"crop yield prediction","score":0.765999972820282},{"id":"https://openalex.org/keywords/soil-moisture-monitoring","display_name":"soil moisture monitoring","score":0.8650000095367432},{"id":"https://openalex.org/keywords/irrigation-management","display_name":"irrigation management","score":0.4880000054836273},{"id":"https://openalex.org/keywords/fertilization","display_name":"fertilization","score":0.6779999732971191},{"id":"https://openalex.org/keywords/pest-management","display_name":"pest control","score":0.9729999899864197}],"concepts":[{"id":"https://openalex.org/C120217122","wikidata":"https://www.wikidata.org/wiki/Q740083","display_name":"Precision agriculture","level":3,"score":0.5774999856948853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5342000126838684},{"id":"https://openalex.org/C204983608","wikidata":"https://www.wikidata.org/wiki/Q2111958","display_name":"Productivity","level":2,"score":0.5223000049591064},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.5177000164985657},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.49230000376701355},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4724999964237213},{"id":"https://openalex.org/C128383755","wikidata":"https://www.wikidata.org/wiki/Q3816336","display_name":"Agricultural productivity","level":3,"score":0.4596000015735626},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4429999887943268},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.41749998927116394},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41620001196861267},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.4147000014781952},{"id":"https://openalex.org/C549605437","wikidata":"https://www.wikidata.org/wiki/Q1229911","display_name":"Food security","level":3,"score":0.39149999618530273},{"id":"https://openalex.org/C70587473","wikidata":"https://www.wikidata.org/wiki/Q7834111","display_name":"Transformative learning","level":2,"score":0.3833000063896179},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.3822000026702881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32359999418258667},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3192000091075897},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3046000003814697},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.3041999936103821},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.29510000348091125},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2851000130176544},{"id":"https://openalex.org/C47136581","wikidata":"https://www.wikidata.org/wiki/Q16000047","display_name":"Agricultural machinery","level":3,"score":0.27950000762939453},{"id":"https://openalex.org/C126343540","wikidata":"https://www.wikidata.org/wiki/Q889514","display_name":"Crop yield","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.26840001344680786},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.2680000066757202}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:edpsciences.org:dkey/10.1051/shsconf/202521601018","doi":"https://doi.org/10.1051/shsconf/202521601018/pdf","is_oa":true,"landing_page_url":"https://www.shs-conferences.org/10.1051/shsconf/202521601018/pdf","pdf_url":"https://www.shs-conferences.org/10.1051/shsconf/202521601018/pdf","source":{"id":"https://openalex.org/S4306400744","display_name":"Springer Link (Chiba Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I8488066","host_organization_name":"Chiba Institute of Technology","host_organization_lineage":["https://openalex.org/I8488066"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1051/shsconf/202521601018","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:edpsciences.org:dkey/10.1051/shsconf/202521601018","doi":"https://doi.org/10.1051/shsconf/202521601018/pdf","is_oa":true,"landing_page_url":"https://www.shs-conferences.org/10.1051/shsconf/202521601018/pdf","pdf_url":"https://www.shs-conferences.org/10.1051/shsconf/202521601018/pdf","source":{"id":"https://openalex.org/S4306400744","display_name":"Springer Link (Chiba Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I8488066","host_organization_name":"Chiba Institute of Technology","host_organization_lineage":["https://openalex.org/I8488066"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1051/shsconf/202521601018","raw_type":"Text"},"sustainable_development_goals":[{"score":0.958299994468689,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"},{"score":0.5378999710083008,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"sustainable_development_goals_aurora":[{"score":0.800241231918335,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7127071104.pdf","grobid_xml":"https://content.openalex.org/works/W7127071104.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,99,138,182],"work":[1],"in":[2,35,103,124,135,215],"this":[3,121,221],"research":[4,122,222],"is":[5,30,88,123,143,159,187],"to":[6,72,131,145,189],"use":[7],"Artificial":[8],"Intelligence":[9],"(AI)":[10],"and":[11,45,53,80,96,113,148,151,156,210,219,229],"the":[12,22,36,48,76,83,105,117,146,153,168,172,199],"Internet":[13],"of":[14,116,120,126,140,174,176,202,217],"Things":[15],"(IoT)":[16],"for":[17,226],"continuous":[18],"agricultural":[19,63],"monitoring":[20],"with":[21,43,69],"focus":[23,119],"on":[24,33,61,206],"wheat":[25,191],"yield":[26,158,166],"optimization.":[27],"Traditional":[28],"farming":[29,204],"traditionally":[31],"low":[32],"productivity":[34,218],"long":[37],"term.":[38],"This":[39,86],"study":[40,169],"presents":[41],"how":[42,207],"AI":[44,91,128],"IoT":[46,70],"integration,":[47],"real-time":[49],"data":[50,87,150],"acquisition,":[51],"analysis,":[52],"decision":[54],"making":[55],"can":[56,212],"have":[57],"a":[58],"great":[59],"impact":[60],"improving":[62],"efficiency.":[64],"Wheat":[65,165],"fields":[66],"are":[67],"equipped":[68],"sensors":[71],"gather":[73],"information":[74],"regarding":[75],"soil":[77],"moisture,":[78],"temperature,":[79],"so":[81],"on,":[82],"surrounding":[84],"environment.":[85],"analyzed":[89],"using":[90],"algorithms":[92],"developed":[93],"predictive":[94],"models":[95],"actionable":[97],"insights.":[98],"model":[100],"helps":[101],"farmers":[102],"optimizing":[104],"resources":[106],"such":[107],"as":[108],"irrigation,":[109],"fertilization,":[110],"pest":[111],"control":[112],"harvesting.":[114],"One":[115],"key":[118],"scalability":[125],"an":[127],"framework":[129],"able":[130],"process":[132],"large":[133],"datasets":[134],"real":[136],"time.":[137],"techniques":[139],"machine":[141],"learning":[142],"applied":[144],"historical":[147],"present":[149],"then":[152],"crop":[154],"performance":[155],"potential":[157],"predicted":[160],"under":[161],"different":[162,179],"conditions.":[163],"Using":[164],"outcomes,":[167],"also":[170],"evaluates":[171],"effectiveness":[173],"integration":[175],"AI-IoT":[177],"across":[178],"climatic":[180],"regions.":[181],"results":[183],"indicate":[184],"that":[185],"it":[186],"possible":[188],"increase":[190],"production":[192],"through":[193],"precision":[194],"agriculture":[195],"practices.":[196],"By":[197],"presenting":[198],"transformative":[200],"power":[201],"smart":[203],"technologies":[205],"farmers,":[208,227],"agronomists,":[209,228],"policymakers":[211],"be":[213],"improved":[214],"terms":[216],"sustainability,":[220],"unfolds":[223],"practical":[224],"implications":[225],"policymakers.":[230]},"counts_by_year":[],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2026-02-03T00:00:00"}
