{"id":"https://openalex.org/W4407785177","doi":"https://doi.org/10.1109/comsnets63942.2025.10885746","title":"Biomimetic Robotic System for Efficient Larva Removal in Paddy Fields:A Simulation-Based Study","display_name":"Biomimetic Robotic System for Efficient Larva Removal in Paddy Fields:A Simulation-Based Study","publication_year":2025,"publication_date":"2025-01-06","ids":{"openalex":"https://openalex.org/W4407785177","doi":"https://doi.org/10.1109/comsnets63942.2025.10885746"},"language":"en","primary_location":{"id":"doi:10.1109/comsnets63942.2025.10885746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets63942.2025.10885746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100607805","display_name":"Meenakshi Kumari","orcid":null},"institutions":[{"id":"https://openalex.org/I3131870445","display_name":"Woxsen School of Business","ror":"https://ror.org/0305fyb87","country_code":"IN","type":"education","lineage":["https://openalex.org/I3131870445"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"M. Prasanna Kumari","raw_affiliation_strings":["Woxsen University,School of Technology,Hyderabad,India"],"affiliations":[{"raw_affiliation_string":"Woxsen University,School of Technology,Hyderabad,India","institution_ids":["https://openalex.org/I3131870445"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063510135","display_name":"Jaswanth Nidamanuri","orcid":"https://orcid.org/0000-0003-1614-7341"},"institutions":[{"id":"https://openalex.org/I3131870445","display_name":"Woxsen School of Business","ror":"https://ror.org/0305fyb87","country_code":"IN","type":"education","lineage":["https://openalex.org/I3131870445"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jaswanth Nidamanuri","raw_affiliation_strings":["Woxsen University,School of Technology,Hyderabad,India"],"affiliations":[{"raw_affiliation_string":"Woxsen University,School of Technology,Hyderabad,India","institution_ids":["https://openalex.org/I3131870445"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100607805"],"corresponding_institution_ids":["https://openalex.org/I3131870445"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0249326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"233","last_page":"240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.8888000249862671,"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":0.8888000249862671,"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/T11436","display_name":"Entomopathogenic Microorganisms in Pest Control","score":0.8837000131607056,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect 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/T13899","display_name":"Agricultural Systems and Practices","score":0.7878000140190125,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.518946647644043},{"id":"https://openalex.org/keywords/paddy-field","display_name":"Paddy field","score":0.49624043703079224},{"id":"https://openalex.org/keywords/larva","display_name":"Larva","score":0.4310843050479889},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.09122750163078308},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08186131715774536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.518946647644043},{"id":"https://openalex.org/C85582077","wikidata":"https://www.wikidata.org/wiki/Q842623","display_name":"Paddy field","level":2,"score":0.49624043703079224},{"id":"https://openalex.org/C173758957","wikidata":"https://www.wikidata.org/wiki/Q129270","display_name":"Larva","level":2,"score":0.4310843050479889},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.09122750163078308},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08186131715774536}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/comsnets63942.2025.10885746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets63942.2025.10885746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2040266035","https://openalex.org/W3013362830","https://openalex.org/W3046391112","https://openalex.org/W3116230638","https://openalex.org/W3146799048","https://openalex.org/W3199483764","https://openalex.org/W4212947798","https://openalex.org/W4225784247","https://openalex.org/W4236373334","https://openalex.org/W4285189951","https://openalex.org/W4313641686","https://openalex.org/W4318570582","https://openalex.org/W4323043707","https://openalex.org/W4367665998","https://openalex.org/W4385759708","https://openalex.org/W4386087467","https://openalex.org/W4386703465","https://openalex.org/W4389401066","https://openalex.org/W4390465608","https://openalex.org/W4399392848"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0,68,229],"development":[1],"of":[2,42,49,66,78,161,222,250,281],"innovative":[3],"pest":[4,307],"management":[5],"techniques":[6],"is":[7,23,26,236,246,265,271],"essential":[8],"for":[9,29,169,258,267,273,290],"better":[10],"farming,":[11],"especially":[12],"with":[13,113,118,126,131,140,204,211,304,314],"regard":[14],"to":[15,54,87],"rice":[16,61],"water":[17],"weevils":[18],"(RWW).":[19],"Although":[20],"using":[21],"chemicals":[22],"effective,":[24],"there":[25],"significant":[27],"risks":[28],"both":[30],"the":[31,40,64,89,92,109,122,176,190,201,240],"environment":[32],"and":[33,71,98,134,164,189,207,239,260,278,285,289,312],"human":[34],"health.":[35],"This":[36,300],"proposed":[37],"work":[38],"details":[39],"usage":[41],"a":[43,76],"duck-shaped":[44],"robot":[45,93,177],"which":[46,107],"mimics":[47],"features":[48],"natural":[50],"creatures":[51],"like":[52],"duck":[53],"assist":[55],"in":[56,60,220,276],"eliminating":[57],"RWW":[58],"larvae":[59,180],"fields":[62],"without":[63],"need":[65],"pesticides.":[67],"robot\u2019s":[69],"efficiency":[70],"utility":[72],"are":[73,167],"enhanced":[74],"by":[75,234,244],"number":[77],"design":[79],"elements.":[80],"A":[81],"major":[82],"priority":[83],"was":[84,192],"terrain":[85],"adaptability":[86],"test":[88],"guarantee":[90],"that":[91],"could":[94],"navigate":[95],"across":[96,226,294],"uneven":[97],"wet":[99],"paddy":[100],"fields.":[101],"Additionally,":[102],"bioinspired":[103],"algorithms":[104,202],"were":[105],"employed":[106],"includes":[108],"Dynamic":[110,283],"Swarm":[111,284],"Optimization":[112,130,139],"Communication":[114],"Networks,":[115],"A*":[116,270],"Algorithm":[117,125],"Heuristic":[119],"Function":[120],"Learning,":[121,127],"Adaptive":[123,263],"Greedy":[124,264],"Ant":[128],"Colony":[129],"Pheromone":[132,205],"Decay":[133,206],"Environmental":[135,208],"adaptation,":[136,209],"Particle":[137],"swarm":[138],"multi-objective":[141],"optimization.":[142],"Different":[143],"performance":[144,293],"metrics":[145],"such":[146,256],"as":[147,257],"total":[148,150,223,231,241],"time,":[149],"distance,":[151],"average":[152,156,165,230],"time":[153,224,232,242],"per":[154,158,181,186,196],"larva,":[155,159],"distance":[157],"frequency":[160],"larva":[162,187],"removal":[163,188,280],"speed":[166,191],"calculated":[168],"each":[170],"simulation":[171],"run.":[172],"On":[173,198],"an":[174],"average,":[175],"removed":[178],"1.64":[179],"second,":[182],"took":[183],"0.61":[184],"seconds":[185],"around":[193],"1.47":[194],"units":[195],"second.":[197],"comparison":[199],"between":[200],"ACO":[203,214,235,286,297],"PSO":[210,219,245],"Multi-Objective":[212],"Optimization,":[213],"consistently":[215],"performed":[216],"well":[217,288],"than":[218],"terms":[221],"taken":[225,233,243],"all":[227],"runs.":[228],"1211.93":[237],"seconds,":[238],"1480.03":[247],"seconds.":[248],"Selection":[249],"algorithm":[251],"depends":[252],"on":[253],"different":[254],"factors":[255],"quick":[259],"local":[261],"adjustments":[262],"effective;":[266],"exact":[268],"paths,":[269],"better;":[272],"team":[274],"efforts":[275],"robots":[277],"faster":[279],"larvae,":[282],"fit":[287],"overall":[291],"balanced":[292],"various":[295],"metrics,":[296],"works":[298],"best.":[299],"way":[301],"empowers":[302],"farmers":[303],"eco-friendly,":[305],"efficient":[306],"control,":[308],"enhancing":[309],"crop":[310],"health":[311],"yield":[313],"minimal":[315],"effect.":[316]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
