Detection of Palm Tree Pests Using Thermal Imaging: A Review

Ahmed, Ali; Ibrahim, Abdelhameed; Hussein, Sherif E.

doi:10.1007/978-3-030-02357-7_12

Cited by 16 publications

(12 citation statements)

References 33 publications

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“…So far, different methods have been tested to detect the RPW infestation in date palms in early stages. These include visual inspections and acoustic sensors [15][16][17], sniffer dogs [18], pheromone traps [19], transcriptome analysis [20], Laser-Induced Breakdown Spectroscopy (LIBS) [21], Near Infrared Spectroscopy (NIRS) technique [22], thermal imaging [23], TreeRadarUnit TM (TRU), and resistograph. However, none could prove desired results.…”

Section: Related Workmentioning

confidence: 99%

Smart Palm: An IoT Framework for Red Palm Weevil Early Detection

et al. 2020

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Smart agriculture is an evolving trend in the agriculture industry, where sensors are embedded into plants to collect vital data and help in decision-making to ensure a higher quality of crops and prevent pests, disease, and other possible threats. One of the most critical pests of palms is the red palm weevil, which is an insect that causes much damage to palm trees and can devastate vast areas of palm trees. The most challenging problem is that the effect of the weevil is not visible by humans until the palm reaches an advanced infestation state. For this reason, there is a pressing need to use advanced technology for early detection and prevention of infestation propagation. In this project, we have developed an IoT-based smart palm monitoring prototype as a proof-of-concept that (1) allows monitoring palms remotely using smart agriculture sensors, (2) contribute to the early detection of red palm weevil infestation. Users can use web/mobile applications to interact with their palm farms and help them in getting early detection of possible infestations. We used an industrial-level IoT platform to interface between the sensor layer and the user layer. Moreover, we have collected data using accelerometer sensors, and we applied signal processing and statistical techniques to analyze collected data and determine a fingerprint of the infestation.

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Section: Related Workmentioning

confidence: 99%

Smart Palm: An IoT Framework for Red Palm Weevil Early Detection

et al. 2020

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“…In the passive thermography, the natural emission of infrared from the object is used to detect any differences in its structure. The temperature difference among the defective objects and their surroundings is used to detect it [36].…”

Section: Remote Sensing Systemmentioning

confidence: 99%

“…The systems of thermal imaging and their application are considered within the promising technology on the RPW early detection. Therefore, the deployment of thermal image systems can obtain a good solution to RPW detection [36]. El-Faki et al investigated thermal aspect potentials of date palm infested by RPW in early detection.…”

Section: Remote Sensing Systemmentioning

confidence: 99%

Recent Trends in the Early Detection of the Invasive Red Palm Weevil,Rhynchophorus ferrugineus(Olivier)

Mohammed¹,

El-Shafie²,

Alhajhoj³

2020

Invasive Species - Introduction Pathways, Economic Impact, and Possible Management Options

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Red palm weevil (RPW), Rhynchophorus ferrugineus (Olivier), is one of the most invasive pest species that poses a serious threat to date palm and coconut palm cultivation as well as the ornamental Canary Island palm. RPW causes massive economic losses in the date palm production sector worldwide. The most important challenge of RPW detection in the early stages of an infestation is the presence of a few externally visible signs. Infested palm shows visible signs when the infestation is more advanced; in this case, the rescuing of infested palms is more complicated. Early detection is a useful tool to eradicate and control RPW successfully. Until now, the early detection techniques of RPW rely mainly on visual inspection and pheromone trapping. Several methods to detect RPW infestation have recently emerged. These include remote sensing, highly sensitive microphones, thermal sensors, drones, acoustic sensors, and sniffer dogs. The main objective of this chapter is to provide an overview of the modern methods for early detection of the RPW and discuss the most important RPW detection technologies that are field applicable.

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“…Another serious risk is a lethal pest called red palm weevil. Red Palm Weevil has been discovered in more than fifty countries which is reported to be the most harmful and destructive pest for palms [5] incurring a significant amount of economic loss [6]. Also, the yearly damages of approximately US $26 million was estimated in the Middle East plantations of date palm that was caused by RPW alone [7].…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Approach for Detecting Palm Trees Diseases using Image Processing and Machine Learning

Alaa¹,

Waleed²,

Samir³

et al. 2020

IJACSA

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Today's palm trees diseases which cause a huge loss in production are extremely hard to detect either because these diseases are hidden inside the texture of the palm itself and cannot be seen by naked eyes or because it appears on its leaves which are hardly examined due to how far they really are from the ground. In this paper we're interested in detecting three of the most common diseases threatening palms today, Leaf Spots, Blight Spots and Red Palm Weevil. Diagnosis of these diseases are done by capturing normal and thermal images of palm trees then, image processing techniques were applied to the acquired images. Two classifiers were used, CNN to differentiate between Leaf Spots and Blight Spots diseases and SVM for Red Palm Weevil pest. The results for CNN and SVM algorithms showed a success rate of accuracy ratio 97.9% and 92.8% respectively, these results are considered to be the best results in this domain as far as we know. The paper also includes the first gathered thermal images dataset for palms infected with Red Palm Weevil and healthy palms as well.

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Detection of Palm Tree Pests Using Thermal Imaging: A Review

Cited by 16 publications

References 33 publications

Smart Palm: An IoT Framework for Red Palm Weevil Early Detection

Smart Palm: An IoT Framework for Red Palm Weevil Early Detection

Recent Trends in the Early Detection of the Invasive Red Palm Weevil,Rhynchophorus ferrugineus(Olivier)

An Intelligent Approach for Detecting Palm Trees Diseases using Image Processing and Machine Learning

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