An effective strategy to obtain very rapidly the red palm weevil decline in an area planted with ornamental palms

Ferry, Michel; Cousin, Raphaël; Chabernaud, Daniel; Ferrero, Frédéric

doi:10.22268/ajpp-037.2.188197

Cited by 8 publications

(7 citation statements)

References 3 publications

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“…Phoenix canariensis was widely sold in the past and thus can be found in most temperate and subtropical areas of the world (Spennemann, 2018). It is considered the main ornamental palm in the Mediterranean cities of the EU (Ferry et al, 2019).…”

Section: Phoenix Canariensismentioning

confidence: 99%

“…Twenty-four palm species in this report were shortlisted based on the combination of their climate suitability (i.e. palm species of considerable 'cold hardiness'; see Section 6.1), distribution data (CABI, online; POWO, online; GBIF, online; PlantNET, online; see Section 6.2) and an extensive literature review (Orsino and Olivari, 1987;Merlo et al, 1993;Vamvoukakis et al, 1988;García-Castaño et al, 2014;Rivera et al, 2015;Shabani et al, 2015;Fehr and Burga, 2016;Caudullo et al, 2017;Rochat et al, 2017;Obón et al, 2018;Spennemann, 2018;Ferry et al, 2019;Essl, 2019;Wazen et al, 2020;Tonellotto et al, 2022;EFSA et al, 2023a).…”

Section: Plant Speciesmentioning

confidence: 99%

“…The category 'natural/naturalised' refers to palms which are native to the EU, or can be considered naturalised. The decision whether to include a certain palm species in a particular category was based on the distribution data (CABI, online; POWO, online; GBIF, online; PlantNET, online) and (Orsino and Olivari, 1987;Merlo et al, 1993;Vamvoukakis et al, 1988;García-Castaño et al, 2014;Rivera et al, 2015;Shabani et al, 2015;Fehr and Burga, 2016;Caudullo et al, 2017;Rochat et al, 2017;Obón et al, 2018;Spennemann, 2018;Ferry et al, 2019;Essl, 2019;Wazen et al, 2020;Tonellotto et al, 2022;EFSA et al, 2023a). As previously mentioned, only date palm is cultivated in the EU as a crop.…”

Section: Rachillamentioning

confidence: 99%

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Characterisation of palms and ornamentals in the EU: a tool for crop‐based survey of Union quarantine pests

Mustapic,

Ivic,

Delbianco

2024

EFS3

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This technical report was prepared in the context of EFSA's mandate on plant pest surveillance (M-2020-0114), at the request of the European Commission. Its purpose is to support the Member States in the planning and preparation of crop-based surveys of regulated pests in line with Commission Implementing Regulation (EU) 2019/2072. In particular, the report includes the list of palms and ornamental species reported as hosts of regulated pests within the scope of grant GP/EFSA/PLANTS/2022/10 'Development of crop-based survey tools for plant pests of fruit trees, conifers, and palms and ornamentals in the EU'. A list of pests associated with palms and ornamentals is provided. In addition, the occurrence, phenology, main uses, management, distribution and climate suitability of palms and ornamentals in the EU is elaborated. Finally, the regulatory requirements and data on trade and import for palms and ornamentals are reported. In total, 111 palm tree species are reported as hosts of at least one of the regulated pests. Among them, only three are native to the EU, four are nonnative but locally abundant in the EU, while 104 palm species are considered to be very rare or absent in the EU. With the exception of the date palm, all palm species present in the EU are used for ornamental purposes. The ornamental crop group comprises 36 plant species, of which three are native to the EU, 14 are non-native but locally abundant in the EU, and 19 are considered to be absent or very rare in the EU. Ornamentals are often cultivated in production systems ranging from low shelters or tunnels to high-technology greenhouses or glasshouses. The most common ornamental plants in the EU that are grown as potted plants, seedlings, bulbs, corms or cut flowers include chrysanthemums, carnations, dahlias, pelargonium, gerbera and violas. Ornamentals are cultivated in all Member States; the Netherlands being by far the biggest producer.

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Section: Phoenix Canariensismentioning

confidence: 99%

Section: Plant Speciesmentioning

confidence: 99%

Section: Rachillamentioning

confidence: 99%

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Characterisation of palms and ornamentals in the EU: a tool for crop‐based survey of Union quarantine pests

Mustapic,

Ivic,

Delbianco

2024

EFS3

View full text Add to dashboard Cite

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“…In particular, Exp. 4 is carried out in the "light air" and "light breeze" conditions where 16,694 data examples per tree are recorded when the wind speed is within a [3,5] mph range. In contrast, we collect 22,763 data examples per tree for Exp.…”

Section: Classifying Infested and Healthy Trees Using Cnnsmentioning

confidence: 99%

“…The red palm weevil (RPW) Rhynchophorus ferrugineus (Olivier) is one of the world's major invasive pest species that attacks date, coconut, ornamental, and oil palms in a variety of agricultural ecosystems worldwide [1,2]. In the past four decades, the RPW has spread rapidly and has been detected in more than 60 countries in the Mediterranean, North Africa, the Middle East, and parts of the Caribbean and Central America [1,3]. This plague has a significant social and economic impact on the date palm industry and the livelihoods of farmers in the affected areas [4,5].…”

Section: Introductionmentioning

confidence: 99%

CNN–Aided Optical Fiber Distributed Acoustic Sensing for Early Detection of Red Palm Weevil: A Field Experiment

Ashry

Wang

Mao

et al. 2022

Sensors

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Red palm weevil (RPW) is a harmful pest that destroys many date, coconut, and oil palm plantations worldwide. It is not difficult to apply curative methods to trees infested with RPW; however, the early detection of RPW remains a major challenge, especially on large farms. In a controlled environment and an outdoor farm, we report on the integration of optical fiber distributed acoustic sensing (DAS) and machine learning (ML) for the early detection of true weevil larvae less than three weeks old. Specifically, temporal and spectral data recorded with the DAS system and processed by applying a 100–800 Hz filter are used to train convolutional neural network (CNN) models, which distinguish between “infested” and “healthy” signals with a classification accuracy of ∼97%. In addition, a strict ML-based classification approach is introduced to improve the false alarm performance metric of the system by ∼20%. In a controlled environment experiment, we find that the highest infestation alarm count of infested and healthy trees to be 1131 and 22, respectively, highlighting our system’s ability to distinguish between the infested and healthy trees. On an outdoor farm, in contrast, the acoustic noise produced by wind is a major source of false alarm generation in our system. The best performance of our sensor is obtained when wind speeds are less than 9 mph. In a representative experiment, when wind speeds are less than 9 mph outdoor, the highest infestation alarm count of infested and healthy trees are recorded to be 1622 and 94, respectively.

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Sustainable Palm Tree Farming: Leveraging IoT and Multi-Modal Data for Early Detection and Mapping of Red Palm Weevil

Hajjaji,

Alzahem,

Boulila

et al. 2023

Procedia Computer Science

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An effective strategy to obtain very rapidly the red palm weevil decline in an area planted with ornamental palms

Abstract: Ferry, M., R. Cousin, D. Chabernaud and F. Ferrero. 2019. An effective strategy to obtain very rapidly the red palm weevil decline in an area planted with ornamental palms.

Cited by 8 publications

References 3 publications

Characterisation of palms and ornamentals in the EU: a tool for crop‐based survey of Union quarantine pests

Characterisation of palms and ornamentals in the EU: a tool for crop‐based survey of Union quarantine pests

CNN–Aided Optical Fiber Distributed Acoustic Sensing for Early Detection of Red Palm Weevil: A Field Experiment

Sustainable Palm Tree Farming: Leveraging IoT and Multi-Modal Data for Early Detection and Mapping of Red Palm Weevil

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