Multi-Pocket Bucket Tool Bag Camouflage Bucket Gear Bag Fishing Bucket Organizer Outdoor Fishing

Label:Yes Mesh Cover & Complete Package:Package includes 1 x fishing bucket organizer and 1 x mesh cover. The mesh cover helps keep contents protected from dust, debris, and light splashes, making this organizer a practical storage solution for 5 gallon bucket gear and accessories. Durable Oxford Fabric in Camouflage:Made from Oxford fabric in camouflage color, this bucket organizer offers durable, wearproof performance for outdoor use. The material helps protect stored items while blending into surroundings for hunting, fishing, and ice fishing adventures. Sturdy Carry Handle & Comfortable Wear:The sturdy carry handle provides a secure grip for lifting and transporting your bucket, while the no-hands backpack design helps reduce strain during long walks to fishing spots, hunting areas. 5 Gallon Bucket FitDesign:This fishing bucket organizer backpack is designed to fit most 5 gallon buckets, turning a standard bucket into a no-hands carry system. Product size is approx. 87 x 28cm / 34 x 11in, with a net bag diameter of approx. 36.5cm / 14.37in for a practical fit.

Multi-Pocket Tackle Storage:Features multiple pockets to organize fishing gear, tools, and accessories neatly. The design includes a rod holder and plier holder, helping keep essential tackle within reach for ice fishing, hunting, and outdoor trips. A practical tackle bag alternative for bucket users.

Item Type: Fishing Bucket Organizer Material: Oxford fabric Color: Camouflage Product Size: Approx. 87x28cm / 34x11.in Net Bag Diameter: Approx. 36.5cm / 14.37in for 5 Gallon Bucket

PackageList: 1 x Fishing Bucket Organizer 1 x Mesh Cover

Notes: 1.The packaging only includes the fish bucket storage bag and does not include other fishing bait accessories. 2.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. 3.. Please allow slight manual measurement deviation for the data.