Soil　moisture　movement　reveals　the　hydrological　environment　and　irrigation　characteristics　of　plants,　which　is　very　important　and　basic　hydrological　problem.　A　soil　moisture　movement　algorithm　based　on　cellular　automata　suitable　for　greenhouse　was　proposed　to　simulate　the　lateral　flow　and　vertical　penetration　of　soil　water　in　different　soil　layers.　Artemisia　annua　was　used　as　an　experimental　plant,　and　two　numerical　simulations　were　set　up　to　determine　the　minimum　water　replenishment　and　the　degree　of　upward　soil　modification.　To　verify　the　performance　of　the　model,　corn　was　used　as　an　experimental　plant　for　application　simulation.　The　numerical　simulation　results　show　that　the　effect　of　only　water　for　plant　cells　is　superior　to　soil　cells,　and　the　disturbance　behavior　of　the　underlying　soil　layer　should　be　minimized　during　the　cultivation　process.　The　average　MAE/RMSE　of　all　soil　layers　is　0.86/1.06　and　in　deep　layer　(50　cm　and　60　cm)　is　0.53/0.64.　It　shows　the　model　has　a　certain　prediction　and　simulation　ability,　especially　in　deep　soil　layers.　The　proposed　algorithm　can　simply　calculate　soil　flow,　set　the　minimum　water　replenishment,　and　evaluate　the　water　replenishment　efficiency,　which　can　provide　a　theoretical　reference　for　the　water　replenishment　and　soil　replacement　scheme.