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Citizen science and digital data for trend analysis and impact assessment of Prodiplosis as an emerging pest in foliage crops
Ciencia ciudadana y datos digitales para el análisis de tendencias y la evaluación del impacto de Prodiplosis como plaga emergente en cultivos de follaje
DOI:
https://doi.org/10.15446/agron.colomb.v43n1.118919Keywords:
bibliometrics, digital platforms, Google trends, social networks, spatial analysis (en)bibliometría, plataformas digitales, Google trends, redes sociales, análisis espacial (es)
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Prodiplosis longifila is a pest of significant economic relevance, severely impacting crops like tomatoes and asparagus. Its effect on crops of ornamental foliage remains poorly documented, despite its growing importance in the agricultural sector. This study addresses our knowledge gap by implementing and validating digital tools of epidemiology (DE) and citizen science (CS) to enable a dynamic and participatory approach to pest monitoring. A trend analysis of scientific publications was conducted using web searches and social media interactions to identify topics concerning Prodiplosis over time, our knowledge gaps, and emerging areas of public interest. We assessed the impact of Prodiplosis on foliage crops, focusing on indirect effects and farmer-led management strategies shared through digital communication. Results show that digital tools such as trend monitoring on social media, web data analysis, WhatsApp group discussions, and farmer-managed digital platforms were effective for identifying the pest’s distribution, significance, and control practices. DE and CS approaches revealed critical knowledge gaps concerning the biology, ecology, and management of Prodiplosis, particularly in ornamental crops. Field data confirmed the pest’s negative impact on foliage yield and quality, with a strong dependence on chemical control methods, often applied without technical guidance. This study introduces an innovative methodology for assessing pest impacts through digital data analysis, offering practical insights for agricultural and policy decision-making. Moreover, the study highlights the potential of natural language processing as a powerful tool for synthesizing and detecting patterns in textual data and enhances the efficiency of pest surveillance and management systems.
Prodiplosis longifila es una plaga de alta relevancia económica, que afecta gravemente cultivos como tomate y espárrago. Sin embargo, su impacto sobre cultivos de follaje ha sido poco estudiado, a pesar de su creciente importancia. Este estudio aborda dicha brecha mediante la implementación y validación de herramientas de epidemiología digital (ED) y ciencia ciudadana (CC), que permiten un enfoque participativo y dinámico para el monitoreo de esta plaga. Se realizó un análisis de tendencias basado en publicaciones científicas, búsquedas en internet e interacciones en redes sociales, con el objetivo de identificar los temas tratados, los vacíos de conocimiento y las áreas emergentes de interés. Adicionalmente, se evaluó el impacto de Prodiplosis en cultivos de follaje, describiendo sus efectos indirectos y las estrategias de manejo adoptadas por los agricultores a través de canales digitales. Los resultados muestran que herramientas digitales como el análisis de tendencias en redes sociales, la exploración de datos web, los grupos de WhatsApp y las plataformas digitales gestionadas por productores son eficaces para identificar la distribución, importancia y estrategias de control de Prodiplosis. Las metodologías de ED y CC también revelaron vacíos críticos en el conocimiento sobre la biología, ecología y manejo de esta plaga en cultivos ornamentales. El análisis de campo confirmó su impacto negativo en el rendimiento y la calidad del follaje, con una alta dependencia del control químico, usualmente sin asesoría técnica. Este estudio propone una metodología innovadora basada en datos digitales, destacando el potencial del procesamiento de lenguaje natural para fortalecer la vigilancia y gestión fitosanitaria.
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