With　the　rapid　development　of　electronic　information　technology,　tomato　picking　intelligence　and　mechanization　are　getting　higher　and　higher　attention.　In　this　paper,　the　author　analyzes　the　tomato　growing　environment,　picking　characteristics,　and　related　products,　and　then　proposes　a　design　method　combining　KANO-FAST-FBS.　Firstly,　the　author　obtains　user　requirements　through　field　research　and　user　research.　Secondly,　the　author　classifies　the　importance　of　user　requirements　through　KANO　model.　Thirdly,　the　author　uses　FAST　to　sort　out　the　product　functions　and　uses　FBS　to　establish　the　mapping　from　user　requirements　to　product　structure.　Through　the　above　research,　the　design　strategy　of　picking　robot　is　put　forward.　　©　2022　IEEE.