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    4 results

      APPVID: Gestión digital de enfermedades de la vid en el País Vasco

      document
      Dec 12, 2019
      -
      2016-002 - APPVID: Disease management in vineyard by computer application
      José Antonio Martínez Fernández
      • diseño colaborativo
      • gestión de enfermedades de la vid
      • viticultura sostenible
      • sensores remotos
      • tratamiento fitosanitario
      • aplicación móvil
      • monitorización en tiempo real
      • reducción de residuos
      • eficiencia en tratamientos
      • innovación en viñedos

      Ficha UPA Madrid Ecoviña: suelo polvo para prevención de enfermedades de la vid

      document
      Jan 20, 2020
      -
      Study of benefits of generating a cloud of soil dust for the prevention of vine diseaseas
      Unión de Pequeños Agricultores y Ganaderos (UPA)
      • soil dust
      • grapevine
      • disease prevention
      • sustainable farming
      • Ecovína
      • UPA Madrid
      • environmental impact
      • crop health
      • prototype
      • agricultural technology

      Vídeo del GO VITICAST sobre soluciones innovadoras para la prevención de enfermedades fúngicas en la vid

      video
      Jan 07, 2021
      -
      VITICAST – Innovative solutions for the prediction of fungal diseases in grapevine
      José Antonio Gay Fernández
      • fungal diseases
      • vineyard
      • mildew
      • powdery mildew
      • pathogen detection
      • aerobiological samplers
      • phytosanitary treatments
      • disease prediction
      • vineyard management
      • Monet Viticultura

      GO for Oidio Prevention in Rioja Vineyards: Sustainable Fungicide Application via Predictive Modeling

      document
      Jan 15, 2019
      -
      Adaptation of disease prediction models to vineyards within the DOCa Rioja for a sustainable aplication of protection products
      Grupo de empresas vinícolas de La Rioja
      • oidio
      • ceniza
      • vid
      • viñedo
      • tratamientos fitosanitarios
      • sostenible
      • modelos de predicción
      • Rioja Alta
      • Rioja Baja
      • agricultura sostenible

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