Den första appen som låter användarna identifiera växter kom 2013, men sedan 2020 har antalet ökat rejält. I dag finns över 250 appar som med hjälp av AI kan känna igen växer och djur på några sekunder.
AI-appar kartlägger naturen — och bidrar till naturvårdsskydd
Teknik Appar som identifierar växter och djur med hjälp av AI blir allt vanligare. Förutom att hjälpa nyfikna naturälskare kan de också bidra till forskningen. Genom att skicka in bilder till internationella databaser kan användarna vara med och kartlägga biologisk mångfald.

Foto: Adobe Stock
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—Så om man ser något ute i naturen som man inte känner igen kan man använda apparna, säger René van der Val, professor i miljömedborgarskap vid Svenska lantbruksuniversitetets institution för ekologi.
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


