Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Md. Najmul Mowla"'
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110706- (2024)
Forest ecosystems face increasing wildfire threats, demanding prompt and precise detection methods to ensure efficient fire control. However, real-time forest fire data accessibility and timeliness require improvement. Our study addresses the challen
Externí odkaz:
https://doaj.org/article/4630ce259b104035a0aa2154853f67d0
Publikováno v:
IEEE Access, Vol 11, Pp 145813-145852 (2023)
The increasing food scarcity necessitates sustainable agriculture achieved through automation to meet the growing demand. Integrating the Internet of Things (IoT) and Wireless Sensor Networks (WSNs) is crucial in enhancing food production across vari
Externí odkaz:
https://doaj.org/article/7d71d47ccd5e4c91be4332ceb5e94c9f
Autor:
Md. Najmul Mowla, Mustafa Sabri Gök
Publikováno v:
2021 Innovations in Intelligent Systems and Applications Conference (ASYU).
Non-chemical weeds control is a crucial aspect of sustainable organic agriculture. This paper explored the state-of-the-art deep learning networks applicability for weed detection and proposed a novel, simple deep learning model. The proposed network
Autor:
Ercan Avşar, Md. Najmul Mowla
Publikováno v:
Ad Hoc Networks. 136:102982
IoT based smart agriculture systems are important for efficient usage of lands, water, and energy resources. Wireless communication protocols constitute a critical part of smart agriculture systems because the fields, in general, cover a large area r