Automatic large scale detection of red palm weevil infestation using street view images

2021 ◽  
Vol 182 ◽  
pp. 122-133
Author(s):  
Dima Kagan ◽  
Galit Fuhrmann Alpert ◽  
Michael Fire
Keyword(s):  
Large Scale ◽  
Red Palm Weevil ◽  
Palm Weevil ◽  
Street View ◽  
Scale Detection ◽  
Weevil Infestation

scholarly journals Integrated Management of Major Coconut Pests Using Pheromone Lures

CORD ◽  
2012 ◽  
Vol 28 (2) ◽  
pp. 10
Author(s):  
K. R. M. Bhanu
Keyword(s):  
Large Scale ◽  
Yield Loss ◽  
Insect Pests ◽  
Threshold Level ◽  
Aggregation Pheromones ◽  
Mass Trapping ◽  
Red Palm Weevil ◽  
Rhinoceros Beetle ◽  
Opisina Arenosella ◽  
Palm Weevil

Red palm weevil Rhynchophorus ferrugineus Olivier (Coleoptera: Curculionidae; Rhinoceros beetle Oryctes rhinoceros Linn. (Coleoptera: Scarabidae) and Black headed caterpillar Opisina arenosella Walker (Lepidoptera: Oecophoridae) are the three among major insect pests of coconut in India. Grubs of Red palm weevil (RPW) enter and complete their life cycle within the stem, killing the tree, adults of Rhinoceros beetle (RB) feed on the growing point of the tree and cause yield loss and the larvae of black headed caterpillar scrape and feed on the green part of the coconut leaflets leading to burnt symptoms of the fronds, death of young trees and yield loss. Aggregation pheromones of RPW and RB are used for monitoring and mass trapping of RPW and RB to manage the pest under economic threshold level. During 2006-07 large scale field trials for RPW and RB were carried out in four different states in India by PCI under a partially funded Coconut Development Board (CDB) project using indigenously synthesized pheromone lures. It was demonstrated that the pheromone lures predominantly attracted virgin and gravid females of RPW and RB. Female sex pheromone of black headed caterpillar Opisina arenosella was also identified and developed in India by PCI, under a project partially funded by CDB; dispensers, dosage and traps were standardized under field conditions and further trials were also conducted in India. It was also established that pheromone lures can be used as a monitoring and a surveillance tool for understanding the pest status before the release parasitoids and natural enemies.

scholarly journals Devices to detect red palm weevil infestation on palm species

2018 ◽  
Vol 19 (6) ◽  
pp. 1049-1061 ◽  
Author(s):  
Pugliese Massimo ◽  
Rettori Andrea Alberto ◽  
Martinis Roberto ◽  
Al-Rohily Khalid ◽  
Al-Maashi Ali
Keyword(s):  
Red Palm Weevil ◽  
Palm Weevil ◽  
Palm Species ◽  
Weevil Infestation

scholarly journals Towards Detecting Red Palm Weevil Using Machine Learning and Fiber Optic Distributed Acoustic Sensing

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1592
Author(s):  
Biwei Wang ◽  
Yuan Mao ◽  
Islam Ashry ◽  
Yousef Al-Fehaid ◽  
Abdulmoneim Al-Shawaf ◽  
...  
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Early Detection ◽  
Large Scale ◽  
Fiber Optic ◽  
Red Palm Weevil ◽  
Healthy Tree ◽  
Acoustic Sensing ◽  
Palm Weevil ◽  
Distributed Acoustic Sensing

Red palm weevil (RPW) is a detrimental pest, which has wiped out many palm tree farms worldwide. Early detection of RPW is challenging, especially in large-scale farms. Here, we introduce the combination of machine learning and fiber optic distributed acoustic sensing (DAS) techniques as a solution for the early detection of RPW in vast farms. Within the laboratory environment, we reconstructed the conditions of a farm that includes an infested tree with ∼12 day old weevil larvae and another healthy tree. Meanwhile, some noise sources are introduced, including wind and bird sounds around the trees. After training with the experimental time- and frequency-domain data provided by the fiber optic DAS system, a fully-connected artificial neural network (ANN) and a convolutional neural network (CNN) can efficiently recognize the healthy and infested trees with high classification accuracy values (99.9% by ANN with temporal data and 99.7% by CNN with spectral data, in reasonable noise conditions). This work paves the way for deploying the high efficiency and cost-effective fiber optic DAS to monitor RPW in open-air and large-scale farms containing thousands of trees.

scholarly journals Monitoring the Red Palm Weevil Infestation Using Machine Learning and Optical Sensing

2021 ◽  
Author(s):  
Yuan Mao ◽  
Islam Ashry ◽  
Biwei Wang ◽  
Yousef Al-Fehaid ◽  
Abdulmoneim Al-Shawaf ◽  
...  
Keyword(s):  
Machine Learning ◽  
Optical Sensing ◽  
Red Palm Weevil ◽  
Palm Weevil ◽  
Weevil Infestation

Current status of red palm weevil infestation in date palm plantations in Israel

2005 ◽  
Vol 33 (1) ◽  
pp. 97-106 ◽  
Author(s):  
V. Soroker ◽  
D. Blumberg ◽  
A. Haberman ◽  
M. Hamburger-Rishard ◽  
S. Reneh ◽  
...  
Keyword(s):  
Date Palm ◽  
Current Status ◽  
Red Palm Weevil ◽  
Palm Weevil ◽  
Weevil Infestation

scholarly journals A Multi-UAV Task Allocation Algorithm Combatting Red Palm Weevil Infestation

2018 ◽  
Vol 141 ◽  
pp. 88-95 ◽  
Author(s):  
Shiroq Al-Megren ◽  
Heba Kurdi ◽  
Munirah F. Aldaood
Keyword(s):  
Task Allocation ◽  
Red Palm Weevil ◽  
Allocation Algorithm ◽  
Palm Weevil ◽  
Multi Uav ◽  
Weevil Infestation

scholarly journals Evaluation of some non-invasive approaches for the detection of red palm weevil infestation

2020 ◽  
Vol 27 (1) ◽  
pp. 401-406 ◽  
Author(s):  
Khawaja Ghulam Rasool ◽  
Mureed Husain ◽  
Shehzad Salman ◽  
Muhammad Tufail ◽  
Sukirno Sukirno ◽  
...  
Keyword(s):  
Red Palm Weevil ◽  
Non Invasive ◽  
Palm Weevil ◽  
Weevil Infestation
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