Sugarcane diseases identification and detection via machine learning

M Mostafizur Rahman Komol, M Sabid Hasan… - Computer Vision and …, 2023 - Springer
Sugarcane diseases are major concern for the global sugarcane market, as they can
significantly impact crop yield and quality. This can result in economic losses for farmers and …

Arthroscopic scene segmentation using multispectral reconstructed frames and deep learning

S Ali, R Crawford, AK Pandey - Intelligent Medicine, 2023 - mednexus.org
Background Knee arthroscopy is one of the most complex minimally invasive surgeries, and
it is routinely performed to treat a range of ailments and injuries to the knee joint. Its complex …

A New Methodology to Detect Plant Disease Using Reprojected Multispectral Images from RGB Colour Space

S Ahmed, S Ali - Computer Vision and Machine Learning in Agriculture …, 2023 - Springer
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 …

US Scanning Technologies and AI

S Ali, S Ahmed - Scanning Technologies for Autonomous Systems, 2024 - Springer
Medical scanning techniques bring the revolution in the health sector by incorporating
cutting-edge scanning technology and methods which achieved significant progress to …

RGB to Multispectral Remap: A Cost-Effective Novel Approach to Recognize and Segment Plant Disease

S Ali, S Ahmed - Computer Vision and Machine Learning in Agriculture …, 2023 - Springer
Multispectral images represent radiant spectral energy captured at several light
wavelengths; hence, these images are able to convey meaningful information related to the …

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 …