Smart irrigation system for environmental sustainability in Africa: An Internet of Everything (IoE) approach-Reference-Cited by-同舟云学术

Smart irrigation system for environmental sustainability in Africa: An Internet of Everything (IoE) approach

Published:2019 Issue:5 Volume:16 Page:5490-5503
ISSN:1551-0018
Container-title:Mathematical Biosciences and Engineering
language:en
Short-container-title:

Author:

Adenugba Favour, ,Misra Sanjay,Maskeliūnas Rytis,Damaševičius Robertas,Kazanavičius Egidijus, , , ,

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine

Reference11 articles.

1. S. Trilles, J. Torres-Sospedra, Ó. Belmonte, et al., Development of an open sensorized platform in a smart agriculture

2. Intergovernmental Panel on Climate Change, Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, R.K. Pachauri and L.A. Meyer (eds.)]. IPCC (2014), Geneva, Switzerland, 151 pp., [online] Available

3. European Commission, Overview of CAP Reform 2014–2020, December 2013, [online] Available

4. S. Murugesan, Harnessing green

5. A. Al-Zamil and A. K. J. Saudagar, Drivers and challenges of applying green computing for sustainable

Cited by 49 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Productive use of electricity in agriculture in sub-Saharan Africa: a systematic review;Progress in Energy;2024-08-20

2. Improving the spatial deployment of the soil moisture sensors in smart irrigation systems using GIS;Cogent Food & Agriculture;2024-06-03

3. IoT-based agriculture management techniques for sustainable farming: A comprehensive review;Computers and Electronics in Agriculture;2024-05

4. Integration of payment systems in the metaverse – challenges and the future of e-commerce in the virtual;e-mentor;2024-04-30

5. Automatic detection and classification of disease in citrus fruit and leaves using a customized CNN based model;Boletin Latinoamericano y del Caribe de Plantas Medicinales y Aromaticas;2024-03-30