נגישות
menu      
Advanced Search
Pest Management Science

Zvi Mendel, 
Hillary Voet, 
Nimrod Modan, 
Ravid Naor, 
Dana Ment

BACKGROUND
The red palm weevil (RPW), Rhynchophorus ferrugineus, is one of the gravest threats to palm trees. The challenge in monitoring RPW primarily arises from the inconspicuous presence of larvae within the stem, which is often devoid of noticeable symptoms. This study looks at the use of seismic sensors in 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.
 

RESULTS
Sensor and damage index values, 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 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 as the number of days required for tree restoration.
 

CONCLUSIONS
Our findings underscore the practicality of employing seismic sensors, as exemplified by the IoTree system and its network services, to both monitor and assess palm tree health. Furthermore, it validates their efficacy in evaluating the efficiency of management strategies adopted against RPW, all grounded in a wealth of sensor-derived data. 

Powered by ClearMash Solutions Ltd -
Volcani treasures
About
Terms of use
Seismic sensor-based management of the red palm weevil Rhynchophorus ferrugineus in date palm plantations

Zvi Mendel, 
Hillary Voet, 
Nimrod Modan, 
Ravid Naor, 
Dana Ment

Seismic sensor-based management of the red palm weevil Rhynchophorus ferrugineus in date palm plantations

BACKGROUND
The red palm weevil (RPW), Rhynchophorus ferrugineus, is one of the gravest threats to palm trees. The challenge in monitoring RPW primarily arises from the inconspicuous presence of larvae within the stem, which is often devoid of noticeable symptoms. This study looks at the use of seismic sensors in 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.
 

RESULTS
Sensor and damage index values, 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 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 as the number of days required for tree restoration.
 

CONCLUSIONS
Our findings underscore the practicality of employing seismic sensors, as exemplified by the IoTree system and its network services, to both monitor and assess palm tree health. Furthermore, it validates their efficacy in evaluating the efficiency of management strategies adopted against RPW, all grounded in a wealth of sensor-derived data. 

Scientific Publication
You may also be interested in