scholarly journals Effect of red palm weevil, Rhynchophorus ferrugineus (Olivier) infestation on temperature profiles of date palm tree

2013 ◽  
Vol 5 (6) ◽  
pp. 77-83 ◽  
Author(s):  
El-Faki Mozib
Keyword(s):  
Date Palm ◽  
Palm Tree ◽  
Temperature Profiles ◽  
Rhynchophorus Ferrugineus ◽  
Red Palm Weevil ◽  
Palm Weevil

scholarly journals AN EVALUATION OF INVASIVE PEST, RED PALM WEEVIL RHYNCHOPHORUS FERRUGINEUS (OLIVIER, 1790) (COLEOPTERA, CURCULIONIDAE) POPULATION IN IRAQ

2020 ◽  
Vol 16 (2) ◽  
pp. 203-218
Author(s):  
Mohammed M. Alderawii ◽  
◽  
Aqeel A. Alyousuf ◽  
Samir A. Hasan ◽  
Jasim K. Mohammed ◽  
...  
Keyword(s):  
Date Palm ◽  
Monitoring Program ◽  
Invasive Pest ◽  
Palm Tree ◽  
Rhynchophorus Ferrugineus ◽  
Red Palm Weevil ◽  
Palm Trees ◽  
Palm Weevil ◽  
Baited Traps ◽  
Management Protocol

The Red Palm Weevil (RPW), Rhynchophorus ferrugineus (Olivier, 1790) is a devastating invasive pest of palm trees, invading the Iraqi date palm tree in 2015 for the first time in Safwan county, Basrah province. The Red Palm weevil has been categorized as a quarantine pest of date palm trees worldwide. In this study, a five years monitoring program has been achieved by scouting the invasive pest RPW population in Safwan county by using visual sampling and Pheromone baited traps. The results indicated that the number of infested palms, increased from 12 trees in 2015 to 111 in 16 orchards in 2016. The number of the infested palms was minimized to 3 trees in the county in 2019 due to the management protocol of the Ministry of Agriculture. Furthermore, the results of RPW adults appeared monthly in the county with two activity peaks during the moderate-temperature-months. In conclusion, the quarantine and management protocol of RPW decreased the population of the invasive pest which did not spread to other districts of Iraq.

Quarantine Protocol Against Coleopteran Borers in Date Palm Offshoots Using Eco2 Fume Gas

2020 ◽  
Vol 31 (4) ◽  
pp. 190-192
Author(s):  
H.A. El-Shafie ◽  
M.E. Mohammed ◽  
A.A. Sallam
Keyword(s):  
Date Palm ◽  
Exposure Period ◽  
Rhynchophorus Ferrugineus ◽  
Internal Tissue ◽  
Red Palm Weevil ◽  
Rhinoceros Beetle ◽  
Planting Material ◽  
Palm Weevil ◽  
Longhorn Beetle ◽  
The World

Date palm offshoots represent an important source of planting material in many date palm-growing countries around the world. Infestation by the red palm weevil ((RPW) Rhynchophorus ferrugineus), the longhorn beetle ((LHB) Jebusaea hammerschmidti) and the rhinoceros beetle ((OB) Oryctes spp.) hinders commercialization and movement of these offshoots. An effective quarantine protocol, with exposure period of 72 h at 25 °C using ECO2FUME (EF) with phosphine concentration of 1500 ppm has been developed for date palm offshoots against these coleopteran internal tissue borers.

scholarly journals Early Detection of Red Palm Weevil, Rhynchophorus ferrugineus (Olivier), Infestation Using Data Mining

Plants ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 95
Author(s):  
Heba Kurdi ◽  
Amal Al-Aldawsari ◽  
Isra Al-Turaiki ◽  
Abdulrahman S. Aldawood
Keyword(s):  
Data Mining ◽  
Plant Size ◽  
Support Vector ◽  
Classification Algorithms ◽  
Palm Tree ◽  
Rhynchophorus Ferrugineus ◽  
Red Palm Weevil ◽  
Palm Weevil ◽  
Using Data ◽  
F Measure

In the past 30 years, the red palm weevil (RPW), Rhynchophorus ferrugineus (Olivier), a pest that is highly destructive to all types of palms, has rapidly spread worldwide. However, detecting infestation with the RPW is highly challenging because symptoms are not visible until the death of the palm tree is inevitable. In addition, the use of automated RPW weevil identification tools to predict infestation is complicated by a lack of RPW datasets. In this study, we assessed the capability of 10 state-of-the-art data mining classification algorithms, Naive Bayes (NB), KSTAR, AdaBoost, bagging, PART, J48 Decision tree, multilayer perceptron (MLP), support vector machine (SVM), random forest, and logistic regression, to use plant-size and temperature measurements collected from individual trees to predict RPW infestation in its early stages before significant damage is caused to the tree. The performance of the classification algorithms was evaluated in terms of accuracy, precision, recall, and F-measure using a real RPW dataset. The experimental results showed that infestations with RPW can be predicted with an accuracy up to 93%, precision above 87%, recall equals 100%, and F-measure greater than 93% using data mining. Additionally, we found that temperature and circumference are the most important features for predicting RPW infestation. However, we strongly call for collecting and aggregating more RPW datasets to run more experiments to validate these results and provide more conclusive findings.

scholarly journals Pheromone receptor of the globally invasive quarantine pest of the palm tree, the red palm weevil ( Rhynchophorus ferrugineus )

2021 ◽  
Author(s):  
Binu Antony ◽  
Jibin Johny ◽  
Nicolas Montagné ◽  
Emmanuelle Jacquin‐Joly ◽  
Rémi Capoduro ◽  
...  
Keyword(s):  
Palm Tree ◽  
Rhynchophorus Ferrugineus ◽  
Red Palm Weevil ◽  
Pheromone Receptor ◽  
Quarantine Pest ◽  
Palm Weevil
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