Smart Agriculture Based on Cloud Computing and IOT

By Tongke Fan. 2013

312 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Information Systems, Plant Science

View Paper: https://www.semanticscholar.org/paper/fa7606fc2abe3d069efef6618d45da7a1dcb8bd5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Partha Pratim Ray
2. Sanmeet Kaur
3. Abhishek Khanna
4. Mohamed Amine Ferrag
5. Lei Shu

In Information Systems

1. Partha Pratim Ray
2. Sanmeet Kaur
3. Abhishek Khanna

In Plant Science

1. Partha Pratim Ray
2. Constantinos Kittas
3. Sanmeet Kaur
4. Abhishek Khanna
5. Nikolaos Katsoulas
6. Lei Shu
7. Mohamed Amine Ferrag

Citations in the corpus

• An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges (2018, unknown): “processing data [28].”
• Blockchain-based traceability in Agri-Food supply chain management: A practical implementation (2018, unknown): “, from production to consumption [2].”
• Internet of Things (IoT), Applications and Challenges: A Comprehensive Review (2020, background): “The authors proposed the usage of IoT concepts and cloud computing techniques for performing agricultural activities [112].”
• Internet of things for smart agriculture: Technologies, practices and future direction (2017, background): “Automation and intelligent decision making are also becoming more important to accomplish this mission [22,68].”
• Internet of Things in agriculture, recent advances and future challenges (2017, background): “Future agricultural IoT interconnected devices may include sensors, connected machinery and vehicles, weather stations, internet gateways, network storage, RFID scanners, smartphones, tablets, wearables and many other devices.”