Review Paper on Crops Disease Diagnosing Using Image-Based Deep Learning Mechanism

Lariya, Pragya; Shrivastava, Mukul

doi:10.26438/ijcse/v7i4.306312

ijcse

2019

DOI: 10.26438/ijcse/v7i4.306312

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Review Paper on Crops Disease Diagnosing Using Image-Based Deep Learning Mechanism

Pragya Lariya¹,

Mukul Shrivastava²

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2022

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“…At the same time, the model uses two GPUs to accelerate the training of neural networks. So, compared to other models, AlexNet performs well in tasks such as image classification and target detection[24,25]. AlexNet is an 8-layer deep network with 60 million parameters, including 5 convolutional layers and 3 fully connected layers.…”

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Identification of Crop Diseases and Insect Pests Based on Deep Learning

Wang

2022

Scientific Programming

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In order to solve the problems of many kinds of crop diseases and pests, fast diffusion speed, and long time of manual identification of diseases and pests, a crop disease and pest identification model based on deep learning from the perspective of ecological and environmental protection is proposed. Firstly, crop images are collected by field sampling to collect data set, and image preprocessing is completed by using nearest neighbor interpolation. Then, the network structure of the AlexNet model is improved. By optimizing the full connection layer, different neuron nodes and experimental parameters are set. Finally, the improved AlexNet model is used to identify crop diseases and pests. The experimental analysis of the proposed model based on the constructed data set shows that the average recognition accuracy and recognition time of fragrant pear diseases and insect pests are 96.26% and 321 ms, respectively, which are better than other comparison models. And, the recognition accuracy of this method on other data sets is not less than 91%, which has good portability.

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Identification of Crop Diseases and Insect Pests Based on Deep Learning

Wang

2022

Scientific Programming

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Review Paper on Crops Disease Diagnosing Using Image-Based Deep Learning Mechanism

Cited by 1 publication

References 0 publications

Identification of Crop Diseases and Insect Pests Based on Deep Learning

Identification of Crop Diseases and Insect Pests Based on Deep Learning

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