Application of Convolutional Neural Networks in Weed Detection and Identification: A Systematic Review
OL García-Navarrete, A Correa-Guimaraes… - Agriculture, 2024 - mdpi.com
Weeds are unwanted and invasive plants that proliferate and compete for resources such as
space, water, nutrients, and sunlight, affecting the quality and productivity of the desired …
space, water, nutrients, and sunlight, affecting the quality and productivity of the desired …
Road: Robotics-assisted onsite data collection and deep learning enabled robotic vision system for identification of cracks on diverse surfaces
Crack detection on roads is essential nowadays because it has a significant impact on
ensuring the safety and reliability of road infrastructure. Thus, it is necessary to create more …
ensuring the safety and reliability of road infrastructure. Thus, it is necessary to create more …
Advancements in smart agriculture through innovative weed management using wavelet-based convolution neural network
Smart agriculture has shifted the paradigm by integrating advanced technologies,
particularly weed management. This paper introduces an innovative approach to weed …
particularly weed management. This paper introduces an innovative approach to weed …
[HTML][HTML] A stereoscopic video computer vision system for weed discrimination in rice field under both natural and controlled light conditions by machine learning
A site-specific weed detection and classification system was implemented with a
stereoscopic video camera to reduce the adverse effects of chemical herbicides in rice field …
stereoscopic video camera to reduce the adverse effects of chemical herbicides in rice field …
Web Server Security Solution for Detecting Cross-site Scripting Attacks in Real-time Using Deep Learning
Cross-Site Scripting (XSS) represents one of the most prevalent application layer attacks
perpetrated by an attacker, a client, and the web server. Cyber-attacks steal clients' …
perpetrated by an attacker, a client, and the web server. Cyber-attacks steal clients' …
Multi-species weed detection and variable spraying system for farmland based on W-YOLOv5
Y Xu, Y Bai, D Fu, X Cong, H **g, Z Liu, Y Zhou - Crop Protection, 2024 - Elsevier
Weed infestations have the potential to cause significant economic losses for farmers as a
result of diminished crop yields and escalated labor and input costs linked with weed …
result of diminished crop yields and escalated labor and input costs linked with weed …
Artificial internet of things (AIoT) and its momentous impact and challenges in modern agriculture
Despite what the majority of individuals perceive, modern agriculture is data-centric, precise,
and better than the previous techniques. The accelerated development of Internet-of-Things …
and better than the previous techniques. The accelerated development of Internet-of-Things …
IoT-enabled deep learning framework for accurate animal head tracking
G Chabra, B Dua, S Kaushik, J Verma… - AIP Conference …, 2024 - pubs.aip.org
Precisely monitoring of animal cranial regions is crucial in various fields, such as wildlife
preservation, farming, and ecological investigation. The current study introduces a deep …
preservation, farming, and ecological investigation. The current study introduces a deep …
Enhancing fault detection and classification in optical fiber networks with deep learning algorithms
The detection and classification of faults in optical fiber networks are essential for
maintaining their performance and uninterrupted service, as they are vital communication …
maintaining their performance and uninterrupted service, as they are vital communication …
Autonomous Agricultural Robot based on IoT and Neural Networks
Climate change, a lack of soil nutrients, a decrease in pollinators, plant diseases, and water
waste from conventional irrigation techniques that cause water clogging on top soil are all …
waste from conventional irrigation techniques that cause water clogging on top soil are all …