Algoritmo para classificação de plantas de milho atacadas pela lagarta do cartucho (Spodoptera frugiperda, Smith) em imagens digitais

Júnior, Darly G. de Sena; Pinto, Francisco de Assis de Carvalho; Queiroz, Daniel Marçal de; Mantovani, Evandro Chartuni

doi:10.1590/s1415-43662001000300023

Cited by 4 publications

(1 citation statement)

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“…Que embora ainda não estejam consolidadas, existe um aumento das pesquisas de monitoramento de insetos-praga por meio das ferramentas da agricultura de precisão. O processamento de imagens juntamente dos algoritmos de aprendizado de máquinas ajudam na identificação e mapeamento das áreas mais infestadas ajudando no Manejo Integrado de Pragas (MIP), controlando assim sua população no campo até o estádio onde não exista mais dano econômico (SENA JÚNIOR, 2002).…”

Section: Introductionunclassified

Uso de redes neurais profundas na avaliação do ataque de mosca minadora ao tomateiro

Crispi¹

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Use of deep neural networks to evaluate leaf-miner flies attack on tomato plants. Adviser: Domingos Sárvio Magalhães Valente.One of the biggest problems of global agriculture is with regard to pests and diseases.Among crops, tomato culture is one of the most susceptible to the attack of pests and diseases. In tomato, one of the main pests are the leaf minadora flies of the genus Liriomyza, especially of the species sativae. The detection and quantification of the severity of the infestation is important to define the moment of control and define the effectiveness of the control systems. Severity quantification is performed by field sampling manually by trained technicians. However, manual evaluation requires trained technicians, and even then, can lead to estimation errors due to the subjectivity of the evaluation process. Thus, the objective of this work was the development of an artificial intelligence model for detection and automatic estimation of the severity of symptoms of the attack of the minadora fly in tomato leaves. The data set for this study gathered 1932 images captured in field conditions containing a leaf with the pest symptom in evidence. The three classes were manually annotated in all images, the background, tomato leaf and leaf symptom of the minadora fly. Three architectures and four different backbones were compared for multiclass semantic segmentation tasks using accuracy, precision, recall and IoU metrics. Sequentially, the severity of the symptom in the mask predicted by the model was estimated using the manually annotated mask for quantification. Comparing all models and dorsal spines used, the U-Net model with Inceptionv3 backbone achieved a better average IoU result reaching 77.71%, followed by the FPN model with Densenet121 as backbone, reaching the mean IoU of 76.62%. Analyzing the IoU separately for the class of the symptom under study, the FPN model with densenet121 backbone achieved a result of 61.02%, followed by the LinkNet model also with Densenet121 as backbone with a result of IoU of 60.99%. To estimate the severity, the FPN model obtained a better result when compared to the others, with the dorsal spines ResNet34 and DenseNet121 being the ones that presented the lowest RSME value, which also confirms the UOU values found for these models. The computational experiments demonstrated in this research were promising, mainly due to the ability of models to automatically segment small objects in images with desharping lighting and complex background conditions, mainly with the use of a database with class unbalance.

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Section: Introductionunclassified

Uso de redes neurais profundas na avaliação do ataque de mosca minadora ao tomateiro

Crispi¹

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Identification of Lesser Cornstalk Borer-attacked Maize Plants using Infrared Images

Zandonadi

Pinto

Sena

et al. 2005

Biosystems Engineering

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Diagnóstico da sífilis auxiliado por computador: proposta de um método híbrido fuzzy neural para análise de imagem de fluorescência.

Fernandes¹

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Algoritmo para classificação de plantas de milho atacadas pela lagarta do cartucho (Spodoptera frugiperda, Smith) em imagens digitais

Cited by 4 publications

References 10 publications

Uso de redes neurais profundas na avaliação do ataque de mosca minadora ao tomateiro

Uso de redes neurais profundas na avaliação do ataque de mosca minadora ao tomateiro

Identification of Lesser Cornstalk Borer-attacked Maize Plants using Infrared Images

Diagnóstico da sífilis auxiliado por computador: proposta de um método híbrido fuzzy neural para análise de imagem de fluorescência.

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