{"id":"https://openalex.org/W2770029755","doi":"https://doi.org/10.1145/3167132.3167237","title":"A smartphone application to measure the quality of pest control spraying machines via image analysis","display_name":"A smartphone application to measure the quality of pest control spraying machines via image analysis","publication_year":2018,"publication_date":"2018-04-09","ids":{"openalex":"https://openalex.org/W2770029755","doi":"https://doi.org/10.1145/3167132.3167237","mag":"2770029755"},"language":"en","primary_location":{"id":"doi:10.1145/3167132.3167237","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3167132.3167237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1711.07828","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Bruno Brandoli Machado","orcid":null},"institutions":[{"id":"https://openalex.org/I122558511","display_name":"Universidade Federal de Mato Grosso do Sul","ror":"https://ror.org/0366d2847","country_code":"BR","type":"education","lineage":["https://openalex.org/I122558511"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Bruno Brandoli Machado","raw_affiliation_strings":["Federal University of Mato Grosso do Sul, Ponta Pora, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Mato Grosso do Sul, Ponta Pora, Brazil","institution_ids":["https://openalex.org/I122558511"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Gabriel Spadon","orcid":null},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gabriel Spadon","raw_affiliation_strings":["University of Sao Paulo, Sao Carlos, Brazil"],"affiliations":[{"raw_affiliation_string":"University of Sao Paulo, Sao Carlos, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mauro S. Arruda","orcid":null},"institutions":[{"id":"https://openalex.org/I122558511","display_name":"Universidade Federal de Mato Grosso do Sul","ror":"https://ror.org/0366d2847","country_code":"BR","type":"education","lineage":["https://openalex.org/I122558511"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Mauro S. Arruda","raw_affiliation_strings":["Federal University of Mato Grosso do Sul, Ponta Pora, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Mato Grosso do Sul, Ponta Pora, Brazil","institution_ids":["https://openalex.org/I122558511"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wesley N. Goncalves","orcid":null},"institutions":[{"id":"https://openalex.org/I122558511","display_name":"Universidade Federal de Mato Grosso do Sul","ror":"https://ror.org/0366d2847","country_code":"BR","type":"education","lineage":["https://openalex.org/I122558511"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Wesley N. Goncalves","raw_affiliation_strings":["Federal University of Mato Grosso do Sul, Ponta Pora, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Mato Grosso do Sul, Ponta Pora, Brazil","institution_ids":["https://openalex.org/I122558511"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Andre C. P. L. F. Carvalho","orcid":null},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Andre C. P. L. F. Carvalho","raw_affiliation_strings":["University of Sao Paulo, Sao Carlos, Brazil"],"affiliations":[{"raw_affiliation_string":"University of Sao Paulo, Sao Carlos, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jose F. Rodrigues-Jr","orcid":null},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jose F. Rodrigues-Jr","raw_affiliation_strings":["University of Sao Paulo, Sao Carlos, Brazil"],"affiliations":[{"raw_affiliation_string":"University of Sao Paulo, Sao Carlos, Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I122558511"],"apc_list":null,"apc_paid":null,"fwci":1.6895,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.86770727,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"956","last_page":"963"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9993000030517578,"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":0.9993000030517578,"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/T11404","display_name":"Irrigation Practices and Water Management","score":0.9803000092506409,"subfield":{"id":"https://openalex.org/subfields/1111","display_name":"Soil 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/T12161","display_name":"Plant Surface Properties and Treatments","score":0.9674999713897705,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/software-portability","display_name":"Software portability","score":0.5648000240325928},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5009999871253967},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4851999878883362},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.43880000710487366},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.426800012588501},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.3797999918460846},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.3725999891757965},{"id":"https://openalex.org/keywords/smartphone-application","display_name":"Smartphone application","score":0.37059998512268066},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3458000123500824}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.574400007724762},{"id":"https://openalex.org/C63000827","wikidata":"https://www.wikidata.org/wiki/Q3080428","display_name":"Software portability","level":2,"score":0.5648000240325928},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5009999871253967},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4851999878883362},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.43880000710487366},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.426800012588501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4253000020980835},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4052000045776367},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3797999918460846},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3725999891757965},{"id":"https://openalex.org/C3020250448","wikidata":"https://www.wikidata.org/wiki/Q620615","display_name":"Smartphone application","level":2,"score":0.37059998512268066},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3702999949455261},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36000001430511475},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3458000123500824},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.3400999903678894},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3393999934196472},{"id":"https://openalex.org/C120217122","wikidata":"https://www.wikidata.org/wiki/Q740083","display_name":"Precision agriculture","level":3,"score":0.33390000462532043},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.32839998602867126},{"id":"https://openalex.org/C2778226232","wikidata":"https://www.wikidata.org/wiki/Q1380756","display_name":"Pesticide application","level":3,"score":0.3034999966621399},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27140000462532043},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.26969999074935913},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.2619999945163727},{"id":"https://openalex.org/C204983608","wikidata":"https://www.wikidata.org/wiki/Q2111958","display_name":"Productivity","level":2,"score":0.2615000009536743},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.2596000134944916},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C51704429","wikidata":"https://www.wikidata.org/wiki/Q827792","display_name":"Quality control","level":3,"score":0.2513999938964844}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3167132.3167237","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3167132.3167237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1711.07828","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1711.07828","pdf_url":"https://arxiv.org/pdf/1711.07828","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1711.07828","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1711.07828","pdf_url":"https://arxiv.org/pdf/1711.07828","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1970611666","https://openalex.org/W1983380961","https://openalex.org/W1984439575","https://openalex.org/W2008899936","https://openalex.org/W2008996097","https://openalex.org/W2028411051","https://openalex.org/W2056316037","https://openalex.org/W2073772807","https://openalex.org/W2087763234","https://openalex.org/W2101534089","https://openalex.org/W2124260943","https://openalex.org/W2129538637","https://openalex.org/W2156354143","https://openalex.org/W2177103948","https://openalex.org/W6663551828"],"related_works":[],"abstract_inverted_index":{"The":[0,136,160],"need":[1],"for":[2],"higher":[3],"agricultural":[4],"productivity":[5],"has":[6],"demanded":[7],"the":[8,27,31,41,65,91,123,132,145,154,175],"intensive":[9],"use":[10,16,66,176],"of":[11,67,113,119,129,150,177],"pesticides.":[12],"However,":[13],"their":[14,44,51],"correct":[15],"depends":[17],"on":[18,64],"assessment":[19],"methods":[20,36],"that":[21],"can":[22,86,163],"accurately":[23],"predict":[24,87],"how":[25],"well":[26],"pesticides'":[28],"spraying":[29],"covered":[30],"intended":[32],"crop":[33],"region.":[34],"Some":[35],"have":[37],"been":[38],"proposed":[39,161],"in":[40,80,122],"literature,":[42],"but":[43],"high":[45,89],"cost":[46],"and":[47,57,115,153,182],"low":[48],"portability":[49],"harm":[50],"widespread":[52],"use.":[53],"This":[54],"paper":[55],"proposes":[56],"experimentally":[58],"evaluates":[59],"a":[60,68,96,148,157],"new":[61],"methodology":[62,99],"based":[63,100],"smartphone-based":[69],"mobile":[70,172],"application,":[71],"named":[72],"DropLeaf.":[73],"Experiments":[74],"performed":[75,138],"using":[76,147,156],"DropLeaf":[77,94],"showed":[78],"that,":[79],"addition":[81],"to":[82],"its":[83],"versatility,":[84],"it":[85],"with":[88,170,179],"accuracy":[90],"pesticide":[92],"spraying.":[93],"is":[95],"five-fold":[97],"image-processing":[98],"on:":[101],"(i)":[102],"color":[103],"space":[104],"conversion;":[105],"(ii)":[106],"threshold":[107],"noise":[108],"removal;":[109],"(iii)":[110],"convolutional":[111],"operations":[112],"dilation":[114],"erosion;":[116],"(iv)":[117],"detection":[118],"contour":[120],"markers":[121],"water-sensitive":[124],"card;":[125],"and,":[126],"(v)":[127],"identification":[128],"droplets":[130],"via":[131],"marker-controlled":[133],"watershed":[134],"transformation.":[135],"authors":[137],"successful":[139],"experiments":[140],"over":[141],"two":[142],"case":[143],"studies,":[144],"first":[146],"set":[149],"synthetic":[151],"cards":[152],"second":[155],"real-world":[158],"crop.":[159],"tool":[162],"be":[164],"broadly":[165],"used":[166],"by":[167],"farmers":[168],"equipped":[169],"conventional":[171],"phones,":[173],"improving":[174],"pesticides":[178],"health,":[180],"environmental":[181],"financial":[183],"benefits.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2017-12-04T00:00:00"}
