2023
DOI: 10.21203/rs.3.rs-2416757/v1
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PFDI: A Precise Fruit disease Identification Model based on Context Data Fusion with Faster-CNN in Edge Computing Environment

Abstract: Fruits have a significant impact on everyday living i.e., citrus fruits. Numerous fruits have a solid nutritious value and are packed with multivitamins and trace components. Citrus fruits are delicate, so they are susceptible to many diseases and infections. Many researchers have suggested various deep learning and machine learning based fruit disease detection and classification models. In this research we are presenting precise fruit disease identification (PFDI) model based on context data fusion with Fast… Show more

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Cited by 2 publications
(3 citation statements)
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“…In a recent study by Dhiman et al (2023), a precise fruit disease identification model, known as "PFDI," was developed, leveraging context data fusion techniques within an edge computing environment. The primary objective of this research is to create an accurate, efficient, and dependable model for the detection of fruit diseases, which is a vital component of autonomous food production on a robotic edge platform.…”
Section: Application Of Ai In Fruits and Vegetablesmentioning
confidence: 99%
See 1 more Smart Citation
“…In a recent study by Dhiman et al (2023), a precise fruit disease identification model, known as "PFDI," was developed, leveraging context data fusion techniques within an edge computing environment. The primary objective of this research is to create an accurate, efficient, and dependable model for the detection of fruit diseases, which is a vital component of autonomous food production on a robotic edge platform.…”
Section: Application Of Ai In Fruits and Vegetablesmentioning
confidence: 99%
“…Future research directions may involve expanding the dataset to encompass a broader range of fruit species and disease manifestations, fine-tuning the model's architecture, and optimizing edge computing resources to enhance overall efficiency and applicability. The PFDI model represents a significant advancement in fruit disease identification, offering precise and real-time insights that have the potential to revolutionize disease management practices in agriculture (Dhiman et al 2023).…”
Section: Application Of Ai In Fruits and Vegetablesmentioning
confidence: 99%
“…This operation can lead to mitigate overfitting of the model by expeditating the model convergence. In the present work, seven data augmentation functions operations, such as shearing, zca whitening, random rotation, horizontal flipping, height shift and width shift, brightness and vertical flipping are used on the image samples [19]. Figure 2 represented image samples of rice plants after applying the data augmentation techniques.…”
Section: B Pre-processing and Data Augmentationmentioning
confidence: 99%