
Price: $69.99
(as of Feb 20, 2025 06:38:49 UTC – Details)
From the brand
Emalie Home
Make Life More Convenient and Enjoyable!
Artifcial Topiary& Raised Beds
We Emalie started with a simple mission that providing premium products with high quality and practical design, helping customer’s daily life more convenient and efficient both at home and outside.
We are now specialized in researching and developing garden and patio products with premium quality and service. Check Emalie to see Anti-UV Artificial Topiary Cedar & Rose, Elevated Plastic Planter and Deep Garden Raised Bed.
Raised Bed
Deep Raised Garden Bed
✅PREMIUM QUALITY: Made from reinforced PP with rattan pattern, the planter boxes are lightweight, stylish yet sturdy for long time use. Gift gardening gloves and floor protective caps help easier planting & your floor
✅MULTIPLE COMBINATION: The modular design of the Planter Raised Bed makes it easy to create custom combinations to maximise growing space and meet different gardening needs
✅PRACTICAL DESIGN: The flower bed features self-watering disk & drainage holes, offering space for reserve excessive water and help plants absorb water & nutrition completely while protecting from rot and over-drying
✅INDOOR & OUTDOOR USE: Safety head is able to support trellis for climbing vines. Each flower bed comes with 4 legs that can be stacked to protect plants from small animals or ground pests
✅EASY TO ASSEMBLE: Each box sizes 15.7″ (L) x 15.7″ (W) x 16.5″ (H) with leg. Can set up in a few mins by 1 person. Ideal for growing fresh veggies, herbs, flowers in the garden, patio, cafe store etc. Great for plant enthusiast, mother or kids to join in planting process
Customers say
Customers find the planters easy to assemble and look nice. They appreciate the quality and value of the product. However, some customers have reported issues with the legs not being as stable as expected, falling off or breaking easily. There are mixed opinions on the sturdiness, value for money, size, and watering ability of the planters.
AI-generated from the text of customer reviews