Agriculture　is　seeking　a　modern　transformation　to　meet　the　demands　of　efficient　and　sustainable　production.　The　integration　of　new　technologies　is　crucial　in　this　endeavor.　Digital　Twin　(DT)　and　Generative　Artifcual　Intelligence　(AI)　have　emerged　as　promising　technologies　in　various　industries.　However,　their　potential　in　the　agricultural　sector　remains　relatively　unexplored.　This　paper　aims　to　bridge　this　research　gap　by　examining　the　current　studies　and　potential　applications　of　DT　and　Generative　AI　in　agriculture.　We　investigate　the　synergies　between　these　technologies　and　their　opportunities　and　challenges　in　agricultural　practices.　This　research　sheds　light　on　the　integration　of　DT　and　Generatiev　AI　in　agriculture,　paving　the　way　for　future　advancements　in　the　field.　©　2023　IEEE.