A Simple Diagnostic Method for Citrus Greening Disease With Deep Learning

Electronics and Communications in Japan, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 6, 2025

ABSTRACT Citrus greening disease (CG) is the most destructive of citrus, leading to branch dieback and plant death. Currently, there no cure for CG, early detection removal infected trees important prevent spread disease. In recent years, have been growing expectations CG with digital images, especially deep learning techniques applied digitized herbarium specimen image data. However, this approach faces challenges in practical applicability efficiency. paper, we proposed a simple diagnostic method using transfer Faster RCNN architecture. We collected in‐field images from citrus orchard Thailand where has caused significant damage. compared performance two annotation methods leaf dataset discussed their effects on pre‐trained VGG Resnet models. Five‐fold cross‐validation was utilized model training evaluation, average precision (AP) used as metric. The results showed that models performed better than models, Resnet152 scoring highest task. which included annotations healthy other leaves achieved an AP 84.13% lower another one but indicated applications more robustness. Additionally, developed web application performs real‐time diagnosis our trained verified effectiveness system.

Language: Английский

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First report on the presence of huanglongbing vectors (Diaphorina citri and Trioza erytreae) in Ghana

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: July 13, 2023

As significant threats to global citrus production, Diaphorina citri (Kuwayama; Hemiptera: Psyllidae) and Trioza erytreae (Del Guercio; Triozidae) have caused considerable losses trees globally. vectors "Candidatus Liberibacter asiaticus" "Ca. L. americanus", whereas T. transmits africanus" asiaticus", the pathogens responsible for greening disease or Huanglongbing (HLB). Though HLB is a destructive of wherever it occurs, information on occurrence geographical distribution its in Africa limited. In recent surveys determine if are present Ghana, we observed eggs, nymphs, adults insects suspected be D. erytreae. Using morphological traits DNA analyses, identity was confirmed Individuals were examined using qPCR CLaf, CLam, CLas, but none them tested positive any species. Herein report, first time, presence Ghana (West Africa). We discuss implications this new threat industry formulate appropriate management strategies.

Language: Английский

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Modelling the potential distribution of the Asian citrus psyllid Diaphorina citri (Hemiptera: Liviidae) using CLIMEX

International Journal of Tropical Insect Science, Journal Year: 2024, Volume and Issue: 44(2), P. 771 - 787

Published: Feb. 26, 2024

Language: Английский

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Addition of Selected Plant-Derived Semiochemicals to Yellow Sticky Traps Does Not Improve Citrus Psyllid Captures

Journal of Chemical Ecology, Journal Year: 2024, Volume and Issue: unknown

Published: April 3, 2024

Abstract Fast and effective monitoring surveillance techniques are crucial for the swift implementation of control methods to prevent spread Huanglongbing, a devastating citrus disease, its invasive psyllid vector, Asian psyllid, Diaphorina citri , into South Africa, as well native African triozid, Trioza erytreae . Monitoring pests can be improved by using semiochemical odorants augment already visually attractive yellow sticky traps. However, environmental variables such temperature humidity could influence odorant release rates. Five field cages were used test ability selection improve trap efficacy in capturing psyllids. Environmental effects on loss from dispensers also investigated. The that most captures then tested under open conditions alongside lower concentrations those same lures. Gas chromatography-mass spectrometry was calculate rates determine if any contamination occurred conditions. None cage or significantly capture Temperature influenced loss, rate polyethylene bulbs decreased over time. Based these results, use unbaited traps seems method Huanglongbing vectors.

Language: Английский

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An annotated checklist with a key to the genera of Australian psyllids (Hemiptera: Sternorrhyncha: Psylloidea)

Zootaxa, Journal Year: 2024, Volume and Issue: 5500(1), P. 1 - 213

Published: Aug. 27, 2024

The diversity of the psyllids Australia reflects that plants this country, with large radiations and ecological dominance Myrtaceae (e.g., Eucalyptus), Fabaceae Acacia), Casuarinaceae Allocasuarina, Casuarina) Scrophulariaceae Eremophila, Myoporum). Within Australian ecosystems, are critical components food webs, especially respect to providing energy-rich resources for many species birds insects and, historically, humans. Furthermore, in horticulture, agriculture forestry, some psyllid considered pests, causing leaf senescence ‘dieback’, deformation inducing growth sooty mould, adventive capable acting as vectors plant pathogens. Several beneficial, having been introduced biological control agents weeds. Additionally, have established other countries, or regions within not their natural range; while others such limited geographical ranges they conservation concern. Here we provide an updated checklist Psylloidea present a previous key genera based on adult morphology. This is first compiled since most recent global taxonomic classification, provides detailed information biogeographical, anthropogenic aspects, including distribution, host data, pest status, parasitoids, predators, programs. Our includes 66 450 species, 414 formally described 36 awaiting descriptions. represents increase almost 20% last published 2004, which reported 354 21 undescribed taxa. summarise available more than 150 Finally, here 60 new records, between distributions associations.

Language: Английский

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Detection and Classification of Temporal Changes for Citrus Canker Growth Rate Using Deep Learning

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 127637 - 127650

Published: Jan. 1, 2023

Citrus canker is among the major plant diseases caused by Xanthomonas citri which affects quality and quantity of citrus fruit. This results in reduction production causes a huge financial loss livelihood farming community. Thus, it critically important to build robust, accurate, time efficient detection method for real identification disease. Due their powerful learning capabilities improved feature extraction, deep approaches have made feasible carry out number tasks related leaves. Previous research has primarily focused on detecting fruits, early leaves can facilitate adoption preventive measures before disease reaches critical stage. paper proposes novel learning-based approach determining growth rate classifying into six distinct stages: water soaking, yellow chlorosis/initiation, chlorosis, blister formation, development start, infection (50% inoculated area), (100% area). The proposed involves image conversion, size reduction, augmentation, utilization DenseNet-121. Experimental demonstrate classification accuracy 98.97% using suggested approach. Accuracy was with macro precession 97%, weighted precision 99%, Macro recall 98%, F1_Score 97% 98%. study presents unique technique based different stages, while also calculating temporal change affected area Furthermore, mathematical model predict disease's at any given time, offering valuable insights management prevention.

Language: Английский

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Risk of spread of the Asian citrus psyllid Diaphorina citri Kuwayama (Hemiptera: Liviidae) in Ghana

Bulletin of Entomological Research, Journal Year: 2024, Volume and Issue: 114(3), P. 327 - 346

Published: May 3, 2024

Abstract The impact of invasive species on biodiversity, food security and economy is increasingly noticeable in various regions the globe as a consequence climate change. Yet, there limited research how change affects distribution Asian citrus psyllid Diaphorina citri Kuwayama (Hemiptera:Liviidae) Ghana. Using maxnet package to fit Maxent model R software, we answered following questions; (i) what are main drivers for D. distribution, (ii) -specific habitat requirements (iii) well do risk maps with know be correctly based available evidence?. We found that temperature seasonality (Bio04), mean warmest quarter (Bio10), precipitation driest (Bio17), moderate resolution imaging spectroradiometer land cover (Bio15), were most important distribution. results follow known records pest potential expansion suitability future. Because many species, including , can adapt changing climates, our findings serve guide surveillance, tracking prevention spread

Language: Английский

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Climate covariate selection influences MaxEnt model predictions and predictive accuracy under current and future climates

Ecological Modelling, Journal Year: 2024, Volume and Issue: 498, P. 110872 - 110872

Published: Sept. 13, 2024

Language: Английский

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Diagnosis of Citrus Greening Using Artificial Intelligence: A Faster Region-Based Convolutional Neural Network Approach with Convolution Block Attention Module-Integrated VGGNet and ResNet Models

Plants, Journal Year: 2024, Volume and Issue: 13(12), P. 1631 - 1631

Published: June 13, 2024

The vector-transmitted Citrus Greening (CG) disease, also called Huanglongbing, is one of the most destructive diseases citrus. Since no measures for directly controlling this disease are available at present, current management integrates several measures, such as vector control, use disease-free trees, removal diseased etc. essential issue in integrated how CG-infected trees can be detected efficiently. For CG detection, digital image analyses using deep learning algorithms have attracted much interest from both researchers and growers. Models transfer with Faster R-CNN architecture were constructed compared two pre-trained Convolutional Neural Network (CNN) models, VGGNet ResNet. Their efficiency was examined by integrating their feature extraction capabilities into Convolution Block Attention Module (CBAM) to create VGGNet+CBAM ResNet+CBAM variants. ResNet models performed best. Moreover, integration CBAM notably improved detection precision overall performance models. Efficient loaded on web applications facilitate access real-time diagnosis farmers via deployment in-field images. practical ability detect discussed.

Language: Английский

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Novel bacterial plasmid produces small interfering RNAs (siRNAs) that induce effective gene silencing in the Asian citrus psyllid Diaphorina citri

Electronic Journal of Biotechnology, Journal Year: 2023, Volume and Issue: 64, P. 59 - 68

Published: June 1, 2023

The Asian citrus psyllid, Diaphorina citri, is a vector of the plant pathogen Candidatus Liberibacter asiaticus (CLas), causal agent Huanglongbing disease. HLB represents main threat to industry around world due its fast spreading, high infectivity, and incurability. An alternative for control this plague in Rutaceae implementation RNA interference (RNAi). Here, we propose novel method produce small interfering (siRNA) Escherichia coli. includes reporter system visually demonstrate dsRNA expression. We produced tested siRNAs against three D. citri genes: Abnormal Wing Disk (AWD), Superoxide dismutase 1 (SOD), Wingless (WNT). These genes play key roles psyllid development maturity, thus, represent promising targets potential control. blue coloration bacterial cultures was easily observable, it corroborated generation that same transcript. evaluated dosage efficiency siRNA using AWD siRNA. RNAi treatment evaluated, all were able induce silencing (-3.05 AWD, -2.60 SOD -2.57 WNT). plasmid effectively produces siRNAs, color facilitated check expression each dsRNA. Treating with resulted decrease gene In addition, mortality observed, being highest when treated WNT-siRNA. Our results suggest as controlling Huanglongbing. How cite: Rueda-Silva JC, González-Campos LI, Durán-Armenta LF, et al. Novel RNAs (siRNAs) effective citri. Electron J Biotechnol 2023;64. https://doi.org/10.1016/j.ejbt.2023.03.006.

Language: Английский

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