Sensing and automation technologies for ornamental nursery crop production: current status and future prospects
The ornamental crop industry is an important contributor to the economy in the United
States. The industry has been facing challenges due to continuously increasing labor and …
States. The industry has been facing challenges due to continuously increasing labor and …
Disease detection in apple leaves using image processing techniques
S Alqethami, B Almtanni, W Alzhrani… - … , Technology & Applied …, 2022 - etasr.com
The agricultural sector in Saudi Arabia constitutes an essential pillar of the national
economy and food security. Crop diseases are a major problem of the agricultural sector …
economy and food security. Crop diseases are a major problem of the agricultural sector …
D-CNN: a new model for generating image captions with text extraction using deep learning for visually challenged individuals
M Bhalekar, M Bedekar - Engineering, Technology & Applied Science …, 2022 - etasr.com
Automatically describing the information of an image using properly constructed sentences
is a tricky task in any language. However, it has the potential to have a significant effect by …
is a tricky task in any language. However, it has the potential to have a significant effect by …
Improvement of classification accuracy of four-class voluntary-imagery fNIRS signals using convolutional neural networks
Abstract Multiclass functional Near-Infrared Spectroscopy (fNIRS) signal classification has
become a convenient way for optical brain-computer interface. fNIRS signal classification …
become a convenient way for optical brain-computer interface. fNIRS signal classification …
A Machine Learning Model for detecting Covid-19 Misinformation in Swahili Language
The recorded cases of corona virus (COVID-19) pandemic disease are millions and its
mortality rate was maximized during the period from April 2020 to January 2022 …
mortality rate was maximized during the period from April 2020 to January 2022 …
AI-enhanced real-time cattle identification system through tracking across various environments
SL Mon, T Onizuka, P Tin, M Aikawa, I Kobayashi… - Scientific Reports, 2024 - nature.com
Video-based monitoring is essential nowadays in cattle farm management systems for
automated evaluation of cow health, encompassing body condition scores, lameness …
automated evaluation of cow health, encompassing body condition scores, lameness …
An intelligent fault detection and classification scheme for distribution lines using machine learning
BK Ponukumati, P Sinha, MK Maharana… - … , Technology & Applied …, 2022 - etasr.com
The current paper focuses on the development and deployment of Machine Learning (ML)
based algorithms for the classification and detection of different faults in the electrical …
based algorithms for the classification and detection of different faults in the electrical …
A performance comparison of classification algorithms for rose plants
One of the key roles of Botanists is to be able to recognize flowers. This role has become
highly challenging given that the number of discovered flower types are nearing half a …
highly challenging given that the number of discovered flower types are nearing half a …
Performance Analysis of Deep Transfer Learning Models for the Automated Detection of Cotton Plant Diseases
Cotton is one of the most important agricultural products and is closely linked to the
economic development of Pakistan. However, the cotton plant is susceptible to bacterial and …
economic development of Pakistan. However, the cotton plant is susceptible to bacterial and …
Road segmentation in high-resolution images using deep residual networks
D Patil, S Jadhav - Engineering, Technology & Applied Science …, 2022 - etasr.com
Automatic road detection from remote sensing images is a vital application for traffic
management, urban planning, and disaster management. The presence of occlusions like …
management, urban planning, and disaster management. The presence of occlusions like …