An intelligent identification system combining image and DNA sequence methods for fruit flies with economic importance (Diptera: Tephritidae)

2021 ◽  
Author(s):  
Jiangning Wang ◽  
Yingying Chen ◽  
Xinwen Hou ◽  
Yong Wang ◽  
Libing Zhou ◽  
...  
Keyword(s):  
Dna Sequence ◽  
Fruit Flies ◽  
Economic Importance ◽  
Identification System

Construction, implementation and testing of an image identification system using computer vision methods for fruit flies with economic importance (Diptera: Tephritidae)

2016 ◽  
Vol 73 (7) ◽  
pp. 1511-1528 ◽  
Author(s):  
Jiang-ning Wang ◽  
Xiao-lin Chen ◽  
Xin-wen Hou ◽  
Li-bing Zhou ◽  
Chao-Dong Zhu ◽  
...  
Keyword(s):  
Computer Vision ◽  
Fruit Flies ◽  
Economic Importance ◽  
Identification System ◽  
Image Identification

scholarly journals A machine learning approach for accurate and real-time DNA sequence identification

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Yiren Wang ◽  
Mashari Alangari ◽  
Joshua Hihath ◽  
Arindam K. Das ◽  
M. P. Anantram
Keyword(s):  
Real Time ◽  
Dna Sequence ◽  
Single Molecule ◽  
Identification Accuracy ◽  
Measuring System ◽  
Identification System ◽  
Genetic Sequencing ◽  
Sequence Identification ◽  
Tree Classifier ◽  
Single Mismatch

Abstract Background The all-electronic Single Molecule Break Junction (SMBJ) method is an emerging alternative to traditional polymerase chain reaction (PCR) techniques for genetic sequencing and identification. Existing work indicates that the current spectra recorded from SMBJ experimentations contain unique signatures to identify known sequences from a dataset. However, the spectra are typically extremely noisy due to the stochastic and complex interactions between the substrate, sample, environment, and the measuring system, necessitating hundreds or thousands of experimentations to obtain reliable and accurate results. Results This article presents a DNA sequence identification system based on the current spectra of ten short strand sequences, including a pair that differs by a single mismatch. By employing a gradient boosted tree classifier model trained on conductance histograms, we demonstrate that extremely high accuracy, ranging from approximately 96 % for molecules differing by a single mismatch to 99.5 % otherwise, is possible. Further, such accuracy metrics are achievable in near real-time with just twenty or thirty SMBJ measurements instead of hundreds or thousands. We also demonstrate that a tandem classifier architecture, where the first stage is a multiclass classifier and the second stage is a binary classifier, can be employed to boost the single mismatched pair’s identification accuracy to 99.5 %. Conclusions A monolithic classifier, or more generally, a multistage classifier with model specific parameters that depend on experimental current spectra can be used to successfully identify DNA strands.

scholarly journals Biological Control of Tephritid Fruit Flies in the Americas and Hawaii: A Review of the Use of Parasitoids and Predators

Insects ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 662
Author(s):  
Flávio R. M. Garcia ◽  
Sérgio M. Ovruski ◽  
Lorena Suárez ◽  
Jorge Cancino ◽  
Oscar E. Liburd
Keyword(s):  
Biological Control ◽  
Fruit Fly ◽  
Fruit Flies ◽  
Economic Importance ◽  
Parasitoid Species ◽  
Control Programs ◽  
First Time ◽  
Tephritid Fruit Flies

Biological control has been the most commonly researched control tactic within fruit fly management programs. For the first time, a review is carried out covering parasitoids and predators of fruit flies (Tephritidae) from the Americas and Hawaii, presenting the main biological control programs in this region. In this work, 31 species of fruit flies of economic importance are considered in the genera Anastrepha (11), Rhagoletis (14), Bactrocera (4), Ceratitis (1), and Zeugodacus (1). In this study, a total of 79 parasitoid species of fruit flies of economic importance are listed and, from these, 50 are native and 29 are introduced. A total of 56 species of fruit fly predators occur in the Americas and Hawaii.

Host Plants of Fruit Flies (Diptera: Tephritidae) of Economic Importance in Guatemala

1987 ◽  
Vol 70 (1) ◽  
pp. 116 ◽  
Author(s):  
Fred M. Eskafi ◽  
Roy T. Cunningham
Keyword(s):  
Host Plants ◽  
Fruit Flies ◽  
Economic Importance

Demography of Anastrepha Fruit Flies: A Case Study of Three Species of Economic Importance

Fruit Flies ◽  
1993 ◽  
pp. 119-124
Author(s):  
P. Liedo ◽  
J. R. Carey ◽  
H. Celedonio ◽  
J. Guillen
Keyword(s):  
Fruit Flies ◽  
Economic Importance

scholarly journals Development of heat treatments for two species of Samoan fruit flies (Bactrocera spp., Diptera: Tephritidae)

2019 ◽  
Vol 72 ◽  
pp. 59-66 ◽  
Author(s):  
Fa'alelei Tunupopo ◽  
Fai'ilagi Sa'ili ◽  
Lisa E. Jamieson ◽  
Samuel D.J. Brown
Keyword(s):  
High Temperature ◽  
Fruit Quality ◽  
Carica Papaya ◽  
Market Access ◽  
Solanum Melongena ◽  
Fruit Flies ◽  
Economic Importance ◽  
Export Market ◽  
Artocarpus Altilis ◽  
Forced Air

Of the seven species of Bactrocera fruit flies found in Samoa, only two (B. kirki (Froggatt) and B. xanthodes (Broun)) are of economic importance. These species attack a range of fruit, including papaya (Carica papaya), breadfruit (Artocarpus altilis), eggplants (Solanum melongena) and citrus. The presence of these two species limits export market access for Samoan produce. Eggplants and breadfruit infested with the eggs of B. kirki and B. xanthodes, respectively, were treated using a high-temperature forced-air (HTFA) protocol to heat the fruits to core temperatures of 40oC, 42oC, 44oC or 46oC. No B. xanthodes pupae emerged from fruit treated at 42oC or greater. Pupae of B. kirki were found from fruit treated at temperatures up to 44oC, but failed to survive treatments at 46oC. The HTFA protocol previously approved for treatment of other Pacific fruit flies (fruit core temperature to 47.2oC for 20 min) works without modification for treatment of the two combinations of fruit flies and commodities tested. However, less intense HTFA treatments are worth investigating, if required to enhance fruit quality.

scholarly journals Systematics of Tephritid Fruit Flies: A Machine Learning Based Pest Identification System

2021 ◽  
Author(s):  
Md Zakir Hossain ◽  
Khandaker Asif Ahmed ◽  
Yefeng Shen ◽  
Shafin Rahman
Keyword(s):  
Machine Learning ◽  
Fruit Flies ◽  
Identification System ◽  
Tephritid Fruit Flies

scholarly journals FIRST HOST PLANT RECORD FOR ANASTREPHA AMPLIATA HERNÁNDEZ-ORTIZ, 1990 (DIPTERA: TEPHRITIDAE)

2018 ◽  
Vol 11 (41-42) ◽  
Author(s):  
María De Jesús García Ramírez ◽  
Enrique Antonio Hernández ◽  
Juan José Vargas Magaña ◽  
Marvel Del Carmen Valencia Gutiérrez ◽  
Juan Carlos Chi Ruiz ◽  
...  
Keyword(s):  
Economic Impact ◽  
Host Plant ◽  
Host Plants ◽  
Fruit Flies ◽  
Economic Importance ◽  
Agricultural Pests ◽  
The World ◽  
Relationship Of ◽  
The Relationship

The fruit flies of the Tephritidae family, represent one of the most important agricultural pests in the world, besides causing a great economic impact due to losses in a great diversity of fruits and other vegetables limit the development of agriculture in many countries and are the direct cause of a considerable number of quarantines and restrictions imposed by the importing countries, causing a detriment in the economy of fruits producing countries. However, in Mexico the knowledge of its hosts is generally restricted to <em>Anastrepha</em> species of economic importance, while studies on the relationship of other species of this genus with their host plants are poorly understood.

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