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scopus(5)
A Classification Model of Cotton Boll-Weevil Population
Conference ObjectAbstract: Integrated pest management (IPM) seeks to minimize the environmental impact of pesticide applicationPalabras claves:cotton crop, Data Analysis, insect pest management, Machine Learning, Pest control, Weather, XGBoostAutores:Caro M., Hoyos W., José Lisandro Aguilar Castro, Toro M., Toscano-Miranda R., Trebilcok A.Fuentes:scopusArtificial-intelligence and sensing techniques for the management of insect pests and diseases in cotton: A systematic literature review
ReviewAbstract: Integrated pest management (IPM) seeks to minimize the environmental impact of pesticide applicationPalabras claves:Internet of Things, Key words Image processing, Machine Learning, pest detection, precision agriculture, Remote Sensing, Smart agricultureAutores:A. Marulanda, Caro M., José Lisandro Aguilar Castro, Marulanda A., Toro M., Toscano-Miranda R., Trebilcok A.Fuentes:scopusPrecision farming using autonomous data analysis cycles for integrated cotton management
ArticleAbstract: Precision farming (PF) allows the efficient use of resources such as water, and fertilizers, among oPalabras claves:Artificial intelligence, autonomous systems, Data Analysis, Integrated cotton management, precision farmingAutores:Caro M., José Lisandro Aguilar Castro, Toro M., Toscano-Miranda R., Trebilcok A.Fuentes:scopusA Fuzzy Classification System to Analyze the Yield of Cotton Production
ArticleAbstract: Properly managing the cultivation of cotton is essential because it directly impacts the amount of cPalabras claves:Classification System, Cotton, Diagnostic model, fuzzy system, YieldAutores:Caro M., José Lisandro Aguilar Castro, Toro M., Toscano-Miranda R., Trebilcok A.Fuentes:scopusDifferent transfer learning approaches for insect pest classification in cotton
ArticleAbstract: Boll weevil is an important pest that affects cotton crops worldwide, causing significant economic lPalabras claves:Artificial intelligence, Cotton management, Insect pests, Machine Learning, Transfer learningAutores:Caro M., Hoyos W., José Lisandro Aguilar Castro, Toro M., Toscano-Miranda R., Trebilcok A.Fuentes:scopus