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 …

Road: Robotics-assisted onsite data collection and deep learning enabled robotic vision system for identification of cracks on diverse surfaces

R Popli, I Kansal, J Verma, V Khullar, R Kumar… - sustainability, 2023 - mdpi.com
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 …

[HTML][HTML] A stereoscopic video computer vision system for weed discrimination in rice field under both natural and controlled light conditions by machine learning

M Dadashzadeh, Y Abbaspour-Gilandeh… - Measurement, 2024 - Elsevier
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 …

Web Server Security Solution for Detecting Cross-site Scripting Attacks in Real-time Using Deep Learning

M Sethi, J Verma, M Snehi, V Baggan… - 2023 International …, 2023 - ieeexplore.ieee.org
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' …

Multi-species weed detection and variable spraying system for farmland based on W-YOLOv5

Y Xu, Y Bai, D Fu, X Cong, H Jing, 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 …

Artificial internet of things (AIoT) and its momentous impact and challenges in modern agriculture

R Singh, C Prabha, N Sharma - 2023 International Conference …, 2023 - ieeexplore.ieee.org
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 …

Advancements in smart agriculture through innovative weed management using wavelet-based convolution neural network

J Lachure, R Doriya - Journal of High Speed Networks, 2024 - journals.sagepub.com
Smart agriculture has shifted the paradigm by integrating advanced technologies,
particularly weed management. This paper introduces an innovative approach to weed …

[HTML][HTML] О существующих методах удаления зашумлений на изображении

МC Мосева, КР Харрасов - Инженерный вестник Дона, 2023 - cyberleninka.ru
В данной работе было проведено исследование существующих классических и
нейросетевых методов борьбы с зашумлениями в системах компьютерного зрения …

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 …

Enhancing fault detection and classification in optical fiber networks with deep learning algorithms

S Kaushik, K Garg, J Verma, I Kansal… - AIP Conference …, 2024 - pubs.aip.org
The detection and classification of faults in optical fiber networks are essential for
maintaining their performance and uninterrupted service, as they are vital communication …