The growing use of FPV drones by Hezbollah in southern Lebanon is leading Israeli soldiers to adopt an improvised, low-tech solution: fishing nets.
According to a report published by The War Zone, troops have begun buying or requesting nets directly from fishermen in the Sea of Galilee region in an effort to protect military bases, vehicles, and positions.
The idea is simple: trap explosive drones in the nets before they can strike troops or armored vehicles. In some cases, even when an explosion occurs, the barrier helps reduce the impact by keeping the drone farther away from its target.
The use of improvised nets comes amid an increase in Hezbollah FPV drone attacks, many of which are guided through fiber-optic cables. Unlike traditional radio-controlled models, these drones are virtually immune to electronic jamming systems, making Israeli defense efforts more difficult.
Israeli authorities have admitted that the threat has become a “nightmare” for troops on the ground. Local media report that the military has already tested various types of barriers, including sports nets and protective screens, while the army works to establish an official standard for defense against this type of attack.
The use of nets as protection against drones had already been observed during the war in Ukraine, where both Russian and Ukrainian forces began installing similar structures on tanks and military vehicles. Now, Israel is adapting the tactic in response to Hezbollah’s rapidly evolving capabilities.
At the same time, Israel is accelerating programs to develop new counter-drone technologies and expand its own FPV drone production, in an effort to respond to a threat that is reshaping the landscape of modern warfare.
Israeli Defense Forces testing a folded anti-drone net installed on a Humvee.
The video emerged amid a surge of Hezbollah strikes with FPV drones against the IDF in Lebanon. pic.twitter.com/PwIyuJQVs4
— Status-6 (War & Military News) (@Archer83Able) April 29, 2026
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Photo and video: X @Archer83Able. This content was created with the assistance of AI and reviewed by the editorial team.
