A Survey on Artificial Intelligence in Cybersecurity for Smart Agriculture: State-of-the-Art, Cyber Threats, Artificial Intelligence Applications, and Ethical Concerns

G Ali, MM Mijwil, BA Buruga… - Mesopotamian …, 2024 - journals.mesopotamian.press
Wireless sensor networks and Internet of Things devices are revolutionizing the smart
agriculture industry by increasing production, sustainability, and profitability as connectivity …

[HTML][HTML] Development of an early detection and automatic targeting system for cotton weeds using an improved lightweight YOLOv8 architecture on an edge device

MJ Karim, M Nahiduzzaman, M Ahsan… - Knowledge-Based Systems, 2024 - Elsevier
Traditional means of weed removal, such as human work or the use of pesticides, frequently
require significant amounts of effort, incur high expenses, and can negatively impact the …

[HTML][HTML] Intelligent Rice Field Weed Control in Precision Agriculture: From Weed Recognition to Variable Rate Spraying

Z Guo, D Cai, J Bai, T Xu, F Yu - Agronomy, 2024 - mdpi.com
A precision agriculture approach that uses drones for crop protection and variable rate
application has become the main method of rice weed control, but it suffers from excessive …

Effect of Hyperparameter Tuning on the Performance of YOLOv8 for Multi Crop Classification on UAV Images

OG Ajayi, PO Ibrahim, OS Adegboyega - Applied Sciences, 2024 - mdpi.com
This study investigates the performance of YOLOv8, a Convolutional Neural Network (CNN)
architecture, for multi-crop classification in a mixed farm with Unmanned Aerial Vehicle …