PFDI: a precise fruit disease identification model based on context data fusion with faster-CNN in edge computing environment

PFDI: a precise fruit disease identification model based on context data fusion with faster-CNN in edge computing environment

<div><p>Fruits significantly impact 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 and susceptible to many diseases and infections. Many researchers have suggested deep...

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Bibliographic Details
Main Author: Poonam Dhiman (12889038) (author)
Other Authors: Poongodi Manoharan (17727687) (author), Umesh Kumar Lilhore (17727684) (author), Roobaea Alroobaea (8698965) (author), Amandeep Kaur (572773) (author), Celestine Iwendi (18002485) (author), Majed Alsafyani (17727696) (author), Abdullah M. Baqasah (17542077) (author), Kaamran Raahemifar (707645) (author)
Published: 2023
Subjects:
Biomedical and clinical sciences
Cardiovascular medicine and haematology
Clinical sciences
Data fusion
Deep learning
Pruning
Disease
Sparsity
Quantization
Edge computing
Citrus fruit
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