Crop protection: community-based forecasting of armyworm
Armyworm larvae (Spodoptera Exempta) cause devastating but highly localized damage to cereal crops and grassland. Poor monitoring and forecasting constrain efficient control operations in many parts of East Africa. Forecasting of armyworm employs information from rain gauges and moth raps. Therefore, a simple community-based forecasting system, by collecting data on rainfall with presence of vegetation and moth trapping, can enable farmers to predict armyworm outbreaks.
Autor: UK Department For International Development (DFID)
Organización: The Food and Agriculture Organization of the United Nations FAO TECA
Año: 2020
País(es): United Republic of Tanzania
Cobertura geográfica: África
Tipo: Prácticas
Texto completo disponible en: https://teca.apps.fao.org/en/technologies/4472/
Idioma utilizado para los contenidos: English