{"id":93429,"date":"2026-10-26T12:00:25","date_gmt":"2026-10-26T16:00:25","guid":{"rendered":"https:\/\/www.mundoacuicola.cl\/new\/?p=93429"},"modified":"2026-10-25T19:44:12","modified_gmt":"2026-10-25T23:44:12","slug":"plancton-andino-integra-inteligencia-artificial-y-whatsapp-para-optimizar-monitoreo-de-microalgas","status":"publish","type":"post","link":"https:\/\/www.mundoacuicola.cl\/new\/plancton-andino-integra-inteligencia-artificial-y-whatsapp-para-optimizar-monitoreo-de-microalgas\/","title":{"rendered":"Plancton Andino integra Inteligencia Artificial y WhatsApp para optimizar monitoreo de microalgas"},"content":{"rendered":"

La anticipaci\u00f3n ante las Floraciones Algales Nocivas (FAN) requiere de herramientas tecnol\u00f3gicas capaces de identificar de manera veloz y certera las distintas especies de fitoplancton.\u00a0<\/span><\/p>\n

Con este prop\u00f3sito en mente para el ciclo 2026-2027, la red colaborativa ADICFito\u2014plataforma de intercambio de im\u00e1genes microsc\u00f3picas de Plancton Andino\u2014ha sumado nuevas utilidades orientadas a potenciar la accesibilidad de la informaci\u00f3n y la clasificaci\u00f3n automatizada mediante inteligencia artificial.<\/span><\/p>\n

Reconocimiento de microorganismos v\u00eda WhatsApp<\/b><\/h3>\n

Mientras que las versiones previas de ADICFito lograban catalogar el fitoplancton \u00fanicamente a nivel de familia, el equipo de desarrollo de Plancton Andino\u2014compuesto por Pablo Nahuelpan, \u00c1lvaro Jorquera y Rodrigo Gibson\u2014ha estructurado una arquitectura anal\u00edtica basada en un modelo jer\u00e1rquico para refinar las aproximaciones taxon\u00f3micas de forma gradual.<\/span><\/p>\n

\u00c1lvaro Jorquera L\u00edder de Innovaci\u00f3n y Desarrollo Plancton Andino se\u00f1al\u00f3<\/b> \u00abNuestro objetivo con ADICFito ha sido facilitar el acceso a herramientas identificaci\u00f3n de fitoplancton sin aumentar la complejidad para los usuarios. La incorporaci\u00f3n de inteligencia artificial jer\u00e1rquica y la integraci\u00f3n con WhatsApp permiten acercar estas capacidades directamente a los centros, manteniendo siempre el respaldo de datos validados por especialistas. Creemos que este enfoque puede contribuir a mejorar la detecci\u00f3n temprana y el monitoreo de especies de inter\u00e9s para la acuicultura\u00bb.<\/span><\/p>\n

La actualizaci\u00f3n estrena un asistente virtual vinculado a WhatsApp, abriendo la posibilidad de que los usuarios carguen fotograf\u00edas de microalgas directamente desde dispositivos m\u00f3viles. El material recolectado se deriva de inmediato a un repositorio central para su posterior evaluaci\u00f3n. Mediante esta alternativa, los operarios tienen la libertad de gestionar sus labores diarias a trav\u00e9s del sitio web o de la aplicaci\u00f3n de mensajer\u00eda, conservando un ecosistema de trabajo unificado.<\/span><\/p>\n

Este sistema coordina en cadena m\u00faltiples modelos inform\u00e1ticos: la captura visual se eval\u00faa preliminarmente seg\u00fan su familia y, si el margen de certeza es elevado y existen algoritmos espec\u00edficos disponibles, el diagn\u00f3stico progresa autom\u00e1ticamente hacia los niveles de g\u00e9nero o especie. Gracias a esta metodolog\u00eda, la cobertura de ADICFito se extiende a m\u00e1s de 90 taxones, elevando el rigor t\u00e9cnico del diagn\u00f3stico y asegurando un uso \u00e9tico de la IA al calcular la incertidumbre en cada proceso.<\/span><\/p>\n

Especies reconocidas por la IA<\/b><\/h3>\n

La capacidad de reconocimiento de ADICFito depende de la cantidad de im\u00e1genes disponibles para cada grupo de microalgas. Por ello, la plataforma utiliza una arquitectura de IA jer\u00e1rquica que permite mejorar progresivamente la precisi\u00f3n y ampliar la cobertura de especies a medida que se incorporan nuevos datos validados.<\/span><\/p>\n

Actualmente, ADICFito incorpora m\u00e1s de 90 taxones de fitoplancton y puede identificar organismos a nivel de familia, g\u00e9nero o especie. Por ejemplo, una imagen puede ser clasificada primero como perteneciente a la familia Thalassiosiraceae y luego, mediante modelos especializados, avanzar a g\u00e9nero o especie cuando existe suficiente informaci\u00f3n para hacerlo con confianza. La plataforma estrena adem\u00e1s la funci\u00f3n Colecciones, dise\u00f1ada para agrupar y examinar conjuntos fotogr\u00e1ficos bajo criterios geogr\u00e1ficos o biol\u00f3gicos espec\u00edficos. Las primeras carpetas disponibles corresponden a:<\/span><\/p>\n

Microalgas Nocivas:<\/b> Muestras enfocadas en las especies causantes de fen\u00f3menos FAN.<\/span><\/p>\n

Canal Cholgo:<\/b> Un inventario detallado del comportamiento comunitario del fitoplancton en las zonas de fiordos pr\u00f3ximas a Hornopir\u00e9n.<\/span><\/p>\n

De este modo, el banco visual se redefine como una biblioteca din\u00e1mica de consulta obligada para capacitaciones e interpretaci\u00f3n cient\u00edfica en terreno.<\/span><\/p>\n

Las herramientas operan en perfecta sinton\u00eda. Al momento en que un operador remite un registro gr\u00e1fico por WhatsApp, la inteligencia artificial no solo genera un diagn\u00f3stico taxon\u00f3mico presuntivo, sino que provee hiperv\u00ednculos con capturas previamente validadas dentro del sistema. Esto permite efectuar una comparaci\u00f3n visual en tiempo real y corroborar la precisi\u00f3n de los hallazgos en el acto.<\/span><\/p>\n

El \u00e9xito de un motor de IA depende directamente de la fidelidad de sus datos de origen. Por esta raz\u00f3n, cada archivo visual subido a ADICFito pasa por el filtro de los analistas expertos de Plancton Andino. Este control de calidad garantiza una base de datos estricta y certificada, esencial para el reentrenamiento y evoluci\u00f3n continua del software.<\/span><\/p>\n

Con este avance, ADICFito se posiciona como una herramienta clave para la investigaci\u00f3n del fitoplancton y la prevenci\u00f3n temprana de las FAN, ratificando el papel de Plancton Andino en el desarrollo de soluciones de vanguardia para la toma de decisiones cr\u00edticas en la industria acu\u00edcola del sur de Chile.\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

La nueva versi\u00f3n de ADICFito permite enviar im\u00e1genes de fitoplancton mediante WhatsApp y obtener identificaciones preliminares apoyadas por inteligencia artificial. La plataforma ampl\u00eda su cobertura a m\u00e1s de 90 taxones y busca fortalecer el monitoreo de microalgas y la detecci\u00f3n temprana de Floraciones Algales Nocivas (FAN) en la acuicultura.<\/p>\n","protected":false},"author":10,"featured_media":93432,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[398],"tags":[143,6936,24231,149,521,446,9444,4662,477,5889,3617,197],"class_list":["post-93429","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-titular","tag-acuicultura","tag-acuicultura-chilena","tag-adicfito","tag-fan","tag-fitoplancton","tag-floraciones-algales-nocivas","tag-innovacion-acuicola","tag-inteligencia-artificial","tag-microalgas","tag-monitoreo-ambiental","tag-plancton-andino","tag-salmonicultura"],"yoast_head":"\nPlancton Andino integra Inteligencia Artificial y WhatsApp para optimizar monitoreo de microalgas - 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