BACKGROUNDThe red palm weevil (RPW), Rhynchophorus ferrugineus, stands as one of the gravest threats to palm trees. The challenge in monitoring RPW primarily arises from the inconspicuous presence of larvae within the stem, often devoid of noticeable symptoms. This study delves into the integration of seismic sensors into RPW management in commercial date palm plantations. It explores whether the data garnered from the sensor domain, and its translation into the health status of date palms, can reliably inform precise decision‐making.RESULTSSensor values and damage indices, as gauged by the Agrint IoTree seismic sensor, vividly mirrored RPW colonization activity. They also accurately portrayed the impact of three distinct insecticides: imidacloprid, phosphine, and entomopathogenic nematodes. The seismic values and damage index of the healthy, untreated palms strongly supported the decision to pursue tree recovery. Furthermore, this facilitated the computation of recovery pace discrepancies across the tested treatments, measured in the number of days required for tree restoration.CONCLUSIONSOur findings underscore the practicality of employing seismic sensors, exemplified by the IoTree system and its network services, to both monitor and assess palm health conditions. Furthermore, it validates their efficacy in evaluating the efficiency of management strategies adopted against the weevil, all grounded in the wealth of sensor‐derived data.This article is protected by copyright. All rights reserved.