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A Convolutional Neural Network Model for Wheat Crop Disease Prediction

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Al-Quds Open University
Ashraf M.; Abrar M.; Qadeer N.; Alshdadi A.A.; Sabbah T.; Khan M.A.
Ashraf, Mahmood (57202596472); Abrar, Mohammad (57189637104); Qadeer, Nauman (24776616100); Alshdadi, Abdulrahman A. (57208596508); Sabbah, Thabit (54406274100); Khan, Muhammad Attique (57222652080)
57202596472; 57189637104; 24776616100; 57208596508; 54406274100; 57222652080
2023
Computers, Materials and Continua
A Convolutional Neural Network Model for Wheat Crop Disease Prediction
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2
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Tech Science Press
Department of Computer Science and Artificial Intelligence, College of Computer Science and Engineering, University of Jeddah, Jeddah, 21577, Saudi Arabia; Department of Computer Science, Bacha Khan University Charsadda, Khyber Pakhtunkhwa, 24461, Pakistan; Department of Computer Science, Federal Urdu University of Arts, Science & Technology, Islamabad, 45570, Pakistan; Department of Information Systems and Technology, College of Computer Science and Engineering, University of Jeddah, Jeddah, 21577, Saudi Arabia; Faculty of Technology and Applied Sciences, Al-Quds Open University, Al-Bireh, 1804, Palestine; Department of Computer Science, HITEC University, Taxila, 47080, Pakistan
Ashraf M., Department of Computer Science and Artificial Intelligence, College of Computer Science and Engineering, University of Jeddah, Jeddah, 21577, Saudi Arabia; Abrar M., Department of Computer Science, Bacha Khan University Charsadda, Khyber Pakhtunkhwa, 24461, Pakistan; Qadeer N., Department of Computer Science, Federal Urdu University of Arts, Science & Technology, Islamabad, 45570, Pakistan; Alshdadi A.A., Department of Information Systems and Technology, College of Computer Science and Engineering, University of Jeddah, Jeddah, 21577, Saudi Arabia; Sabbah T., Faculty of Technology and Applied Sciences, Al-Quds Open University, Al-Bireh, 1804, Palestine; Khan M.A., Department of Computer Science, HITEC University, Taxila, 47080, Pakistan
M. Ashraf; Department of Computer Science and Artificial Intelligence, College of Computer Science and Engineering, University of Jeddah, Jeddah, 21577, Saudi Arabia; email: maaslm@uj.edu.sa
13
10.32604/cmc.2023.035498
artificial intelligence; convolutional neural network; Machine learning; wheat crop disease prediction
Convolution; Convolutional neural networks; Crops; Machine learning; Network architecture; Cereal crop; Convolutional neural network; Crop disease; Energy requirements; High-resolution images; Human bodies; Machine-learning; Major factors; Neural network model; Wheat crop disease prediction; Forecasting