A New Methodology to Detect Plant Disease Using Reprojected Multispectral Images from RGB Colour Space
Plant disease detection is a pivotal step to prevent crop damage and maximise the crop
yield. Although recent deep learning-based techniques achieved significant progress in this …
yield. Although recent deep learning-based techniques achieved significant progress in this …
US Scanning Technologies and AI
Medical scanning techniques bring the revolution in the health sector by incorporating
cutting-edge scanning technology and methods which achieved significant progress to …
cutting-edge scanning technology and methods which achieved significant progress to …
Analysis of the Performance of YOLO Models for Tomato Plant Diseases Identification
S Ahmed - Computer Vision and Machine Learning in Agriculture …, 2023 - Springer
Disease detection is an important task of field robotics for precision agriculture. Inspired by
the deep learning model in performing high-level vision tasks, this research focused to …
the deep learning model in performing high-level vision tasks, this research focused to …
US Scanning Technologies and AI Check for updates
S Ali, S Ahmed - Scanning Technologies for Autonomous Systems - books.google.com
1 Introduction Ultrasound scanning technology has numerous impacts in healthcare which
allows to scan patients' anatomy as well as their physiological characteristics in noninvasive …
allows to scan patients' anatomy as well as their physiological characteristics in noninvasive …
Automatic extraction algorithm of lip contour based on YIQ chroma space
Y Meng, S Cui, J Wang, X Teng… - 2017 8th IEEE …, 2017 - ieeexplore.ieee.org
The existing lip contour extraction algorithms have the shortcomings of weak universal, high
complex, manual participation, poor characterization, large lip information loss. A lip contour …
complex, manual participation, poor characterization, large lip information loss. A lip contour …