An Integrated Framework of Two-Stream Deep Learning Models Optimal Information Fusion for Fruits Disease Recognition

Author:

Zahra Unber1ORCID,Khan Muhammad Attique1ORCID,Alhaisoni Majed2ORCID,Alasiry Areej3ORCID,Marzougui Mehrez3ORCID,Masood Anum4ORCID

Affiliation:

1. Department of Computer Science, HITEC University, Taxila, Pakistan

2. Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdul Rahman University, Riyadh, Saudi Arabia

3. College of Computer Science, King Khalid University, Abha, Saudi Arabia

4. Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway

Funder

Deanship of Scientific Research, King Khalid University

large group Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

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2. Computer Vision based Greenhouse Fruits and Vegetables Identification – A Review;Journal of Innovative Image Processing;2024-09

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4. Identification of Plant Leaf Disease using Image Augmentation and Deep Learning;2024 3rd International Conference on Computational Modelling, Simulation and Optimization (ICCMSO);2024-06-14

5. Disease detection and classification in pomegranate fruit using hybrid convolutional neural network with honey badger optimization algorithm;International Journal of Food Properties;2024-06-11

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