Mahmood Ashraf1,*, Mohammad Abrar2, Nauman Qadeer3, Abdulrahman A. Alshdadi4, Thabit Sabbah5, Muhammad Attique Khan6
CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3867-3882, 2023, DOI:10.32604/cmc.2023.035498
Abstract Wheat is the most important cereal crop, and its low production incurs import pressure on the economy. It fulfills a significant portion of the daily energy requirements of the human body. The wheat disease is one of the major factors that result in low production and negatively affects the national economy. Thus, timely detection of wheat diseases is necessary for improving production. The CNN-based architectures showed tremendous achievement in the image-based classification and prediction of crop diseases. However, these models are computationally expensive and need a large amount of training data. In this research, a light weighted modified CNN architecture… More >
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