Open Access
Issue |
MATEC Web Conf.
Volume 392, 2024
International Conference on Multidisciplinary Research and Sustainable Development (ICMED 2024)
|
|
---|---|---|
Article Number | 01098 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/matecconf/202439201098 | |
Published online | 18 March 2024 |
- B. Basnet et.al., The State-of-the-Art of Knowledge-Intensive Agriculture: A Review on Applied Sensing Systems and Data Analytics, Hindawi Jrnl. of Sen. Vol. 13 (2018) [Google Scholar]
- The Development of an Intelligent Monitoring System for Agricultural Inputs Basing on DBN-SOFTMAX, Hindawi Jrnl. of Snrs., Vol. 11 https://doi.org/10.1155/2018/6025381, (2018) [Google Scholar]
- V.C. Patil1 et al., Internet of things (iot) and cloud computing for agriculture: an overview Agriculture 2012 (AIPA 2012) [Google Scholar]
- M. Ayaz et al., Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Tal, Spcl. Sec. on new tech. for smart frmg 4.0: rsrh chllngs and oprtnits, Digital Object Identifier 10.1109/ACCESS.2019.2932609 [Google Scholar]
- S. Pongnumkul et al., Applications of Smartphone-Based Sensors in Agriculture: A Systematic Review of Research Journal of sensors, https://doi.org/10.1155/2015/195308, (2015) [Google Scholar]
- A. Luvisi et al., Electronic identification technology for agriculture, plant, and food. A review Agronomy for Sustainable Development Vol. 36, (2016) [CrossRef] [Google Scholar]
- C. Costa et al., A Review on Agri-food Supply Chain Traceability by Means of RFID Technology, 6(2):353-366, (2012) [Google Scholar]
- S. Verma et al., An Internet of things (IoT) architecture for Smart Agriculture, https://www.researchgate.net/publication/332678949,978-1-5386-5257-2/18/$31.00, IEEE, (2018) [Google Scholar]
- K. Chidananda et al., Types of Attacks in Wireless Sensor Networks: A Review, Asian Jrnl. Of Sci. and Technlgy., Vol. 8, (2017) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.