Feature(may vary by option.)

●This plastic antique flowerpot is made of high-quality plastic, which has durability and wear resistance. It can be used for a long time without deformation or damage, is lightweight and durable, easy to move and place, and can maintain a good appearance and use effect for a long time.
●Carefully imitating the texture and color of purple sand flower pots, with a highly simulated texture and appearance, can add an artistic sense to your homes bonsai, giving people a noble and elegant feeling. It is very suitable for placing in home or office spaces, and can enhance the overall decoration effect.
●The flower pot is of moderate size, which is not only suitable for the cultivation of Succulent plant, but also can be used to plant other small potted plants, to meet your maintenance needs for different plants, and also to facilitate your maintenance and management.
●This flowerpot is not only suitable for planting plants, but also for making small bonsai. You can create a unique small world inside the flowerpot according to your preferences and creativity, increasing the beauty and fun of the indoor space.
●Package include:1 * Flower Pot.Square-S: 12*12*6cm/4.7*4.7*2.4 inch; Square-L: 17*17*8cm/6.7*6.7*3.1 inch; Rectangle-S: 12*16.5*6cm/4.7*6.5*2.4 inch;Rectangle-L: 17*23*8cm/6.7*9.1*3.1 inch.

[Rectangle S  & 4.7*6.5*2.4 inch]




[Square L  & 6.7*6.7*3.1 inch]




[Rectangle L  & 6.7*9.1*3.1 inch]




[Square S  & 4.7*4.7*2.4 inch]





Description

Type:Bonsai Pots

Color:Dark brown

Material: Plastic

Package include:1 * Flower Pot

Style: Square-S/Square-L/Rectangle-S/Rectangle-L (please select)

Dimension: (Approx)

Square-S: 12*12*6cm/4.7*4.7*2.4 inch

Square-L: 17*17*8cm/6.7*6.7*3.1 inch

Rectangle-S: 12*16.5*6cm/4.7*6.5*2.4 inch

Rectangle-L: 17*23*8cm/6.7*9.1*3.1 inch

Note:

1.The real color of the item may be slightly different from the pictures shown on website caused by many factors such as brightness of your monitor and light brightness.

2.Please allow slight manual measurement deviation for the data.