plants such as wheat, rice, corn (maize), barley, oats, rye, millet, and sorghum are commonly …
Frost damage is one of the major concerns for crop growers as it can impact the growth of
the plants and hence, yields. Early detection of frost can help farmers mitigating its impact. In …
K Manning,
X Zhai,
W Yu - Digital Communications and Networks, 2022 - Elsevier
Malaria is an important and worldwide fatal disease that has been widely reported by the
World Health Organization (WHO), and it has about 219 million cases worldwide, with …
M Mohammdian-Khoshnoud,
AR Soltanian… - BMC Molecular and Cell …, 2022 - Springer
Background Image segmentation is considered an important step in image processing.
Fuzzy c-means clustering is one of the common methods of image segmentation. However …
EH Ali, S Sadek,
ZF Makki - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
In this study a novel approach to segment tissue of the brain in magnetic resonance imaging
(MRI) images has been introduced to diagnose Alzheimer's disease. The algorithm …
M Baljon - … Journal of Advanced Computer Science and …, 2023 - pdfs.semanticscholar.org
The agricultural industry in Saudi Arabia suffers from the effects of vegetable diseases in the
Central Province. The primary causes of death documented in this analysis were 32 fungal …
SAM Mobarakeh,
M Emadi - Majlesi Journal of …, 2022 - mjtd.isfahan.iau.ir
All human biological traits are unique as biometrics, such as fingerprint, palm, iris, palm
veins, finger veins and other biometrics. Using these biometrics has always been …
E Priya - International Journal of Swarm Intelligence Research …, 2022 - igi-global.com
Tuberculosis (TB) is a worldwide health crisis and second primary infectious disease that
causes death. An attempt has been made to detect the presence of bacilli in sputum smears …
This paper investigates the application of deep convolutional neural networks with
prohibitively small datasets to the problem of macular edema segmentation. In particular, we …
This review article focuses on paddy disease prediction through two key phases: image
processing and disease prediction. The initial phase involves image acquisition, pre …