{"id":"https://openalex.org/W4391735596","doi":"https://doi.org/10.32388/kkaen5","title":"Review of: \"Enhancing Cocoa Crop Resilience in Ghana: The Application of Convolutional Neural Networks for Early Detection of Disease and Pest Infestations\"","display_name":"Review of: \"Enhancing Cocoa Crop Resilience in Ghana: The Application of Convolutional Neural Networks for Early Detection of Disease and Pest Infestations\"","publication_year":2024,"publication_date":"2024-02-11","ids":{"openalex":"https://openalex.org/W4391735596","doi":"https://doi.org/10.32388/kkaen5"},"language":"en","primary_location":{"id":"doi:10.32388/kkaen5","doi":"https://doi.org/10.32388/kkaen5","is_oa":true,"landing_page_url":"http://dx.doi.org/10.32388/kkaen5","pdf_url":"https://www.qeios.com/read/KKAEN5/pdf","source":{"id":"https://openalex.org/S4210177074","display_name":"Qeios","issn_l":"2632-3834","issn":["2632-3834"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["anvur-scientific","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"peer-review"},"parent_works":[],"lineage":["https://openalex.org/W4391735596"],"child_works_count":0,"type":"peer-review","is_traditional":false,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.qeios.com/read/KKAEN5/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037287591","display_name":"Emmanuel Moupojou","orcid":"https://orcid.org/0000-0002-3155-3017","observed_orcids":["https://orcid.org/0000-0002-3155-3017"]},"institutions":[{"id":"https://openalex.org/I140494188","display_name":"Universit\u00e9 de Technologie de Troyes","ror":"https://ror.org/01qhqcj41","country_code":"FR","type":"education","lineage":["https://openalex.org/I140494188"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Emmanuel Moupojou","raw_affiliation_strings":["Universit\u00e9 de Technologie de Troyes"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Technologie de Troyes","institution_ids":["https://openalex.org/I140494188"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5037287591"],"corresponding_institution_ids":["https://openalex.org/I140494188"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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":0.9994999766349792,"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":0.9994999766349792,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cocoa-crops","display_name":"cocoa crops","score":0.8410000205039978},{"id":"https://openalex.org/keywords/plant-disease-detection","display_name":"plant disease detection","score":0.9509999752044678},{"id":"https://openalex.org/keywords/pest-detection","display_name":"pest detection","score":0.7419999837875366},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.9980000257492065},{"id":"https://openalex.org/keywords/early-detection","display_name":"early detection","score":0.6290000081062317},{"id":"https://openalex.org/keywords/crop-resilience","display_name":"crop resilience","score":0.9419999718666077},{"id":"https://openalex.org/keywords/ghana","display_name":"Ghana","score":0.6480000019073486}],"concepts":[{"id":"https://openalex.org/C22508944","wikidata":"https://www.wikidata.org/wiki/Q568174","display_name":"PEST analysis","level":2,"score":0.6730991005897522},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.6192410588264465},{"id":"https://openalex.org/C137580998","wikidata":"https://www.wikidata.org/wiki/Q235352","display_name":"Crop","level":2,"score":0.6172803640365601},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5979171991348267},{"id":"https://openalex.org/C54286561","wikidata":"https://www.wikidata.org/wiki/Q397350","display_name":"Agroforestry","level":1,"score":0.4619455933570862},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.37476611137390137},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.3486143946647644},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3482614755630493},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30545592308044434},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.28501367568969727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19059231877326965},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15836605429649353},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.13180574774742126},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.046669572591781616},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32388/kkaen5","doi":"https://doi.org/10.32388/kkaen5","is_oa":true,"landing_page_url":"http://dx.doi.org/10.32388/kkaen5","pdf_url":"https://www.qeios.com/read/KKAEN5/pdf","source":{"id":"https://openalex.org/S4210177074","display_name":"Qeios","issn_l":"2632-3834","issn":["2632-3834"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["anvur-scientific","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"peer-review"}],"best_oa_location":{"id":"doi:10.32388/kkaen5","doi":"https://doi.org/10.32388/kkaen5","is_oa":true,"landing_page_url":"http://dx.doi.org/10.32388/kkaen5","pdf_url":"https://www.qeios.com/read/KKAEN5/pdf","source":{"id":"https://openalex.org/S4210177074","display_name":"Qeios","issn_l":"2632-3834","issn":["2632-3834"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["anvur-scientific","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"peer-review"},"sustainable_development_goals":[{"score":0.6735000014305115,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391735596.pdf","grobid_xml":"https://content.openalex.org/works/W4391735596.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Potential":[0],"competing":[1,5],"interests:":[2],"No":[3],"potential":[4],"interests":[6],"to":[7,95,108],"declare.The":[8],"authors":[9],"suggest":[10],"a":[11,62],"CNN":[12,93],"model":[13,98],"for":[14],"the":[15,32,38,40,46,51,54,66,69,89,92,97,100,110],"detection":[16,82],"of":[17,68,91],"cocoa":[18],"diseases.The":[19],"paper":[20],"is":[21,26],"grammatically":[22],"well":[23],"written.The":[24],"abstract":[25],"very":[27],"vague;":[28],"please":[29],"focus":[30],"on":[31],"motivation,":[33],"method,":[34],"and":[35],"results.After":[36],"reading":[37],"introduction,":[39],"reader":[41],"still":[42],"doesn't":[43],"know":[44],"about":[45,88],"specific":[47],"approach":[48],"used":[49,94],"in":[50],"study":[52],"or":[53],"results":[55],"obtained.If":[56],"announced":[57],"there,":[58],"they":[59],"can":[60],"provide":[61],"better":[63],"insight":[64],"into":[65],"content":[67],"research.The":[70],"literature":[71],"review":[72],"should":[73],"specifically":[74],"mention":[75],"accuracies":[76],"reached":[77],"by":[78],"existing":[79],"plant":[80],"disease":[81],"models.The":[83],"document":[84],"contains":[85],"no":[86],"information":[87],"architecture":[90],"train":[96],"nor":[99],"accuracy":[101],"obtained":[102],"after":[103],"training,":[104],"so":[105],"it's":[106],"hard":[107],"evaluate":[109],"study.":[111]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2024-02-12T00:00:00"}