[HTML][HTML] Use of Unmanned Aerial Vehicles for Monitoring Pastures and Forages in Agricultural Sciences: A Systematic Review

WM Santos, LDCS Martins, AC Bezerra, LSB Souza… - Drones, 2024 - mdpi.com
With the growing demand for efficient solutions to face the challenges posed by population
growth and climate change, the use of unmanned aerial vehicles (UAVs) emerges as a …

[PDF][PDF] Evaluation of machine learning models for plant disease classification using modified GLCM and wavelet based statistical features

A Tabbakh, SS Barpanda - Traitement du Signal, 2022 - academia.edu
Accepted: 10 December 2022 In this paper, different types of plant diseases in the
PlantVillage dataset are getting focused for classification. In the realm of machine vision …

Novel feature extraction of underwater targets by encoding hydro-acoustic signatures as image

M Zare, NM Nouri - Applied Ocean Research, 2023 - Elsevier
Underwater vessel-radiated acoustical noise (UVRAN) is a major factor for classification in
the sea by the SONAR. Due to unsteady and complex maritime ambient, analyzing …

Selecting optimal k for K-means in image segmentation using GLCM

M Sabha, M Saffarini - Multimedia Tools and Applications, 2024 - Springer
Region growing, clustering, and thresholding are some of the segmentation techniques that
are employed on images. K-means clustering is one of the proven efficient techniques in …

Iris recognition approach for identity verification with DWT and multiclass SVM

MA El-Sayed, MA Abdel-Latif - PeerJ Computer Science, 2022 - peerj.com
The iris has been proven to be one of the most stable and accurate biometrics. It has been
widely used in recognition systems to determine the identity of the individual who attempts to …

Analysis of biospeckle pattern using grey-level and color-channel assessment methods

S Karnati, B Pathak - Laser Physics, 2024 - iopscience.iop.org
Biospeckle offers a practical tool for contact-free testing and monitoring of biological
samples, providing unique insights into dynamics of biological processes. In the present …

Efficient features for smartphone-based iris recognition

R Vyas, T Kanumuri, G Sheoran… - Turkish Journal of …, 2019 - journals.tubitak.gov.tr
Iris recognition has widely been used in personal authentication problems. Recent
advances in iris recognition through visible wavelength images have paved the way for the …

Iris authentication utilizing co-occurrence matrices and textile features

D Triantafyllou, G Stavropoulos… - … Conference on Speech …, 2019 - ieeexplore.ieee.org
Biometric features have attracted great attention for numerous security applications. Border
control, forensics, access control, banking are a few examples where biometrics …

[PDF][PDF] AUTOMATED RICE LEAF DISEASE RECOGNITION SYSTEM USING DIFFERENT TEXTURAL AND INTENSITY MOMENTS BASED FEATURES

S Saha - 2023 - researchgate.net
One of the world's staple foods is rice. However, several different rice leaf diseases are a
hindrance to rice production. Leaf disease is one of the main ailments affecting rice. Due to …

Performance evaluation of modified Gaussian mixture model algorithm for image segmentation of mammogram

DP Pati, S Panda - International Journal of Embedded …, 2023 - inderscienceonline.com
Computer-assisted diagnosis (CAD) in radiological practices has been achieving newer
heights due to advances in image processing techniques and computing facilities. Detection …