Towards Smart Farming: Fog-enabled intelligent irrigation system using deep neural networks-Reference-Cited by-同舟云学术

Towards Smart Farming: Fog-enabled intelligent irrigation system using deep neural networks

Published:2022-04 Issue: Volume:129 Page:115-124
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Cordeiro Matheus,Markert Catherine^ORCID,Araújo Sayonara S.^ORCID,Campos Nídia G.S.^ORCID,Gondim Rubens S.^ORCID,da Silva Ticiana L. Coelho^ORCID,da Rocha Atslands R.^ORCID

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference29 articles.

1. World agriculture: Towards 2015/2030 - an FAO perspective,2014

2. Big data in smart farming – A review;Wolfert;Agric. Syst.,2017

3. Smart & green: An Internet-of-Things framework for smart irrigation;Campos;Sensors,2020

4. Fog computing for the Internet of Things: A survey;Puliafito;ACM Trans. Internet Technol.,2019

5. Deep Learning with Python;Chollet,2017

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