Hybrid neural network with genetic algorithms for predicting distribution pattern of Tetranychus urticae (Acari: Tetranychidae) in cucumbers field of Ramhormoz, Iran

Influence of geographical locations on morphological and genetic structure of Tetranychus urticae Koch (Acari : Tetranychidae) populations

Carbonnelle, Sabine

January 2004

The species distribution at the Earth surface is affected by environmental conditions such as climat...

Application of pest detection on vegetable crops using the cnn algorithm as a smart farm innovation to realize food security in the 4.0 era

Lestari, Apri Dwi
Nur Afan syarifudin
Yopi Julia Nurriski

September 2022

Pests and diseases are one of the factors that become obstacles in the cultivation of vegetables bec...

This paper discusses the development of a software prototype for cucumbers selection and grading by applying Standard Backpropagation Neural Network (SBPNN) and Principal Component Analysis (PCA). The prototypes has been tested to recognize cucumbers based on their shapes (i.e. straight or non-straight cucumbers). Cucumbers images data were expressed in eight position of rotational exes:0˚,45˚,90˚,135˚,180˚,225˚,270˚,315˚. The implemented system can recognized 100% of all tested straight cucumbers and 75%of all tested non-straight cucumbers. The performance implemented SBPNN was also compared to another system called Probabilistic Nural Network (PNN). The result shows that SBPNN in generalization or recognition accuracy.

Seminar, Kudang B.
., Marimin

January 2014

This paper discusses the development of a software prototype for cucumbers selection and grading by ...

Evaluation of geostatistical method and hybrid Artificial Neural Network with imperialist competitive algorithm for predicting distribution pattern of Tetranychus urticae (Acari: Tetranychidae) in cucumber field of Behbahan, Iran

Shabaninejad, Alireza
Tafaghodinia, Bahram
Zandi-Sohani, Nooshin

October 2017

Shabaninejad, Alireza, Tafaghodinia, Bahram, Zandi-Sohani, Nooshin (2017): Evaluation of geostatisti...

Predicting distribution pattern of Rhopalosiphum padi (Hemiptera: Aphididae) by hybrid neural network using particle swarm optimization algorithm

Aleosfoor,Maryam
Minaei,Kambiz
Bagheri,Faezeh

July 2020

Nowadays, with the advent of powerful statistical techniques and neural networks, predictive models ...

Biology and life table analysis of Tetranychus urticae (Acari: Tetranychidae) on different common pea and bean cultivars

Abou-Elella, Gomaa M.
Abdel-Khalek, Amira A.

April 2020

Abou-Elella, Gomaa M., Abdel-Khalek, Amira A. (2020): Biology and life table analysis of Tetranychus...

A population growth model of Tetranychus urticae Koch (Acari: Tetranychidae)

Farazmand, Azadeh
Amir-Maafi, Masood

April 2018

Farazmand, Azadeh, Amir-Maafi, Masood (2018): A population growth model of Tetranychus urticae Koch ...

Modelling the potential distribution of the invasive tomato red spider mite, Tetranychus evansi (Acari: Tetranychidae)

Migeon, Alain
Ferragut, Francisco
Escudero-Colomar, Lucia Adriana
Fiaboe, Komi
Knapp, Markus
de Moraes, Gilberto J.
Ueckermann, Eddie
Navajas, Maria

January 2009

Correspondance: alain.migeon@supagro.inra.frInternational audiencePredicting the potential geographi...

The Impact Of Cucumber Nitrogen Nutrition On Life History Traits Of Tetranychus Urticae (Koch) (Acari: Tetranychidae)

Motahari, M.
Kheradmand, K.
Roustaee, A.M.
Talebi, A.A.

December 2014

Motahari, M., Kheradmand, K., Roustaee, A.M., Talebi, A.A. (2014): The Impact Of Cucumber Nitrogen N...

AFLATOXIN PREDICTION USING A GA TRAINED NEURAL NETWORK

C. E. Hendersona
W. D. Potter A
R. W. Mcclendonb
G. Hoogenboomb

January 2015

Predicting the level of aflatoxin contamination i crops of peanuts is a task of significant importan...

Simualtion of Lady Beetle's Preying Behavior Evolution with Neural Network and Genetic Algorithms.

王俊
李松岗

January 2001

This paper describes a computational model of searching behavior of lady beetle (Coccinella septempu...

Not Available

Vennila S., G. Singh., G. K. Jha., M. S. Rao., H. Panwar and M. Hegde

January 1001

Not AvailableAim : Methodology : Results : Interpretation : Approaches to modelling pest populations...

Effect of initial infestation on population fluctuation and spatial distribution of Panonychus citri (Acari: Tetranychidae) on Thomson navel orange in Ghaemshahr, Iran

Faez, Rohollah
Fathipour, Yaghoub
Shojaii, Mahmoud
Ahadiyat, Ali

July 2018

Faez, Rohollah, Fathipour, Yaghoub, Shojaii, Mahmoud, Ahadiyat, Ali (2018): Effect of initial infest...

Neural network for forecasting egg abundance of the cabbage looper on three cole crops

Farias, Elizeu
Farias, Aline

January 2022

Neural network for predicting eggs of Trichoplusia ni in plants of brassica varieties using weather ...

Genetic structure of a phytophagous mite species affected by crop practices: The case of Tetranychus urticae in clementine mandarins

Pascual-Ruíz, S.
Gómez-Martinez, M. A.
Ansaloni, T.
Segarra-Moragues, José G.
Sabater-Muñoz, Beatriz
Jacas, J. A.
Hurtado-Ruíz, M. A.

April 2014

Tetranychus urticae Koch is a cosmopolitan mite considered as the most polyphagous species among spi...

Influence of geographical locations on morphological and genetic structure of Tetranychus urticae Koch (Acari : Tetranychidae) populations

Carbonnelle, Sabine

January 2004

The species distribution at the Earth surface is affected by environmental conditions such as climat...

Application of pest detection on vegetable crops using the cnn algorithm as a smart farm innovation to realize food security in the 4.0 era

Lestari, Apri Dwi
Nur Afan syarifudin
Yopi Julia Nurriski

September 2022

Pests and diseases are one of the factors that become obstacles in the cultivation of vegetables bec...

This paper discusses the development of a software prototype for cucumbers selection and grading by applying Standard Backpropagation Neural Network (SBPNN) and Principal Component Analysis (PCA). The prototypes has been tested to recognize cucumbers based on their shapes (i.e. straight or non-straight cucumbers). Cucumbers images data were expressed in eight position of rotational exes:0˚,45˚,90˚,135˚,180˚,225˚,270˚,315˚. The implemented system can recognized 100% of all tested straight cucumbers and 75%of all tested non-straight cucumbers. The performance implemented SBPNN was also compared to another system called Probabilistic Nural Network (PNN). The result shows that SBPNN in generalization or recognition accuracy.

Seminar, Kudang B.
., Marimin

January 2014

This paper discusses the development of a software prototype for cucumbers selection and grading by ...

Evaluation of geostatistical method and hybrid Artificial Neural Network with imperialist competitive algorithm for predicting distribution pattern of Tetranychus urticae (Acari: Tetranychidae) in cucumber field of Behbahan, Iran

Shabaninejad, Alireza
Tafaghodinia, Bahram
Zandi-Sohani, Nooshin

October 2017

Shabaninejad, Alireza, Tafaghodinia, Bahram, Zandi-Sohani, Nooshin (2017): Evaluation of geostatisti...

Predicting distribution pattern of Rhopalosiphum padi (Hemiptera: Aphididae) by hybrid neural network using particle swarm optimization algorithm

Aleosfoor,Maryam
Minaei,Kambiz
Bagheri,Faezeh

July 2020

Nowadays, with the advent of powerful statistical techniques and neural networks, predictive models ...

Biology and life table analysis of Tetranychus urticae (Acari: Tetranychidae) on different common pea and bean cultivars

Abou-Elella, Gomaa M.
Abdel-Khalek, Amira A.

April 2020

Abou-Elella, Gomaa M., Abdel-Khalek, Amira A. (2020): Biology and life table analysis of Tetranychus...

A population growth model of Tetranychus urticae Koch (Acari: Tetranychidae)

Farazmand, Azadeh
Amir-Maafi, Masood

April 2018

Farazmand, Azadeh, Amir-Maafi, Masood (2018): A population growth model of Tetranychus urticae Koch ...

Modelling the potential distribution of the invasive tomato red spider mite, Tetranychus evansi (Acari: Tetranychidae)

Migeon, Alain
Ferragut, Francisco
Escudero-Colomar, Lucia Adriana
Fiaboe, Komi
Knapp, Markus
de Moraes, Gilberto J.
Ueckermann, Eddie
Navajas, Maria

January 2009

Correspondance: alain.migeon@supagro.inra.frInternational audiencePredicting the potential geographi...

The Impact Of Cucumber Nitrogen Nutrition On Life History Traits Of Tetranychus Urticae (Koch) (Acari: Tetranychidae)

Motahari, M.
Kheradmand, K.
Roustaee, A.M.
Talebi, A.A.

December 2014

Motahari, M., Kheradmand, K., Roustaee, A.M., Talebi, A.A. (2014): The Impact Of Cucumber Nitrogen N...

AFLATOXIN PREDICTION USING A GA TRAINED NEURAL NETWORK

C. E. Hendersona
W. D. Potter A
R. W. Mcclendonb
G. Hoogenboomb

January 2015

Predicting the level of aflatoxin contamination i crops of peanuts is a task of significant importan...

Simualtion of Lady Beetle's Preying Behavior Evolution with Neural Network and Genetic Algorithms.

王俊
李松岗

January 2001

This paper describes a computational model of searching behavior of lady beetle (Coccinella septempu...

Not Available

Vennila S., G. Singh., G. K. Jha., M. S. Rao., H. Panwar and M. Hegde

January 1001

Not AvailableAim : Methodology : Results : Interpretation : Approaches to modelling pest populations...

Effect of initial infestation on population fluctuation and spatial distribution of Panonychus citri (Acari: Tetranychidae) on Thomson navel orange in Ghaemshahr, Iran

Faez, Rohollah
Fathipour, Yaghoub
Shojaii, Mahmoud
Ahadiyat, Ali

July 2018

Faez, Rohollah, Fathipour, Yaghoub, Shojaii, Mahmoud, Ahadiyat, Ali (2018): Effect of initial infest...

Neural network for forecasting egg abundance of the cabbage looper on three cole crops

Farias, Elizeu
Farias, Aline

January 2022

Neural network for predicting eggs of Trichoplusia ni in plants of brassica varieties using weather ...

Genetic structure of a phytophagous mite species affected by crop practices: The case of Tetranychus urticae in clementine mandarins

Pascual-Ruíz, S.
Gómez-Martinez, M. A.
Ansaloni, T.
Segarra-Moragues, José G.
Sabater-Muñoz, Beatriz
Jacas, J. A.
Hurtado-Ruíz, M. A.

April 2014

Tetranychus urticae Koch is a cosmopolitan mite considered as the most polyphagous species among spi...

Influence of geographical locations on morphological and genetic structure of Tetranychus urticae Koch (Acari : Tetranychidae) populations

Carbonnelle, Sabine

January 2004

The species distribution at the Earth surface is affected by environmental conditions such as climat...

Application of pest detection on vegetable crops using the cnn algorithm as a smart farm innovation to realize food security in the 4.0 era

Lestari, Apri Dwi
Nur Afan syarifudin
Yopi Julia Nurriski

September 2022

Pests and diseases are one of the factors that become obstacles in the cultivation of vegetables bec...

This paper discusses the development of a software prototype for cucumbers selection and grading by applying Standard Backpropagation Neural Network (SBPNN) and Principal Component Analysis (PCA). The prototypes has been tested to recognize cucumbers based on their shapes (i.e. straight or non-straight cucumbers). Cucumbers images data were expressed in eight position of rotational exes:0˚,45˚,90˚,135˚,180˚,225˚,270˚,315˚. The implemented system can recognized 100% of all tested straight cucumbers and 75%of all tested non-straight cucumbers. The performance implemented SBPNN was also compared to another system called Probabilistic Nural Network (PNN). The result shows that SBPNN in generalization or recognition accuracy.

Seminar, Kudang B.
., Marimin

January 2014

This paper discusses the development of a software prototype for cucumbers selection and grading by ...

Hybrid neural network with genetic algorithms for predicting distribution pattern of Tetranychus urticae (Acari: Tetranychidae) in cucumbers field of Ramhormoz, Iran

Abstract

Extracted data

Hybrid neural network with genetic algorithms for predicting distribution pattern of Tetranychus urticae (Acari: Tetranychidae) in cucumbers field of Ramhormoz, Iran

Abstract

Extracted data

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