Automatic identification of diseases in grains crops through computational approaches: A review

R Manavalan - Computers and Electronics in Agriculture, 2020 - Elsevier
Agricultural productivity significantly contributes to every country's economy. The grain
plants such as wheat, rice, corn (maize), barley, oats, rye, millet, and sorghum are commonly …

[HTML][HTML] A survey of image-based computational learning techniques for frost detection in plants

S Shammi, F Sohel, D Diepeveen, S Zander… - Information Processing …, 2023 - Elsevier
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 …

[HTML][HTML] Image analysis and machine learning-based malaria assessment system

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 …

Optimization of fuzzy c-means (FCM) clustering in cytology image segmentation using the gray wolf algorithm

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 …

Novel Improved Fuzzy C-means Clustering for MR Image Brain Tissue Segmentation to Detect Alzheimer's Disease

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 …

[PDF][PDF] A Framework for Agriculture Plant Disease Prediction using Deep Learning Classifier

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 …

[PDF][PDF] Improvement of the Identification Rate using Finger Veins based on the Enhanced Maximum Curvature Method using Morphological Operators

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 …

Metaheuristic-based optimization methods for the segmentation of tuberculosis sputum smear images

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 …

Segmentation of macular edema datasets with small residual 3D U-Net architectures

J Frawley, CG Willcocks, M Habib… - 2020 IEEE 20th …, 2020 - ieeexplore.ieee.org
This paper investigates the application of deep convolutional neural networks with
prohibitively small datasets to the problem of macular edema segmentation. In particular, we …

Paddy Crop Disease Prediction—A Detailed Review on Image Processing Techniques

B Johnson, T Chandrakumar - International Conference on Intelligent …, 2023 - Springer
This review article focuses on paddy disease prediction through two key phases: image
processing and disease prediction. The initial phase involves image acquisition, pre …