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Auflistung nach Schlagwort "crop protection"

1 - 2 von 2
  • Konferenzbeitrag
    Development of an index to estimate potential risk of slug damage
    (44. GIL - Jahrestagung, Biodiversität fördern durch digitale Landwirtschaft, 2024) Giovanni Antonio Puliga, Jobst Gödeke
    Terrestrial slugs are important pests for many agricultural and horticultural crops. Current control strategies are mostly based on preventive approaches and their success is strongly influenced by timing of application and knowledge of the pests’ behaviour. This paper presents an approach to estimate spatial and temporal activity of slugs in the field. For this, an index is developed considering different factors that influence the activity of slugs. The index is then used to generate a map, where areas of the field with higher potential risk of slug damage are identified. This map can be used for smart agriculture applications such as the control of these pests through an autonomously operating field robot.
  • Konferenzbeitrag
    Investigating the adoption of smartphone apps in crop protection
    (40. GIL-Jahrestagung, Digitalisierung für Mensch, Umwelt und Tier, 2020) Michels, Marius; Bonke, Vanessa; Mußhoff, Oliver
    Based on an online survey of 207 German farmers conducted in 2019, we investigated farmers’ adoption decision for crop protection smartphone apps based on the Unified Theory of Acceptance and Use of Technology (UTAUT) framework applying partial least squares equation modelling and a binary logit model. Descriptive results show that 95 % of the surveyed farmers use a smartphone, but only 71 % use a crop protection smartphone app. Apps providing information about weather, pest scouting and infestations forecasts are perceived as most useful by the majority of farmers. However, reported use fell short of reported usefulness. All hypotheses of the UTAUT model could be verified. 73 % of the variation in the behavioral intention to use a crop protection smartphone app and 50 % of the variation in the actual adoption is explained by the model.