SynthesisSensors (Basel, Switzerland)2021
A Systematic Survey on the Role of Cloud, Fog, and Edge Computing Combination in Smart Agriculture.
Synthesis in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Intelligent cloud-based RAS management: integration of DDPG reinforcement learning with AWS IoT for optimized aquaculture production.Scientific reports · 2026Article
- Lightweight deep deterministic policy gradient for edge computing in recirculating aquaculture systems: real-time feeding control with reduced computational requirements.Scientific reports · 2025Article
- Multi-Sensor Monitoring, Intelligent Control, and Data Processing for Smart Greenhouse Environment Management.Sensors (Basel, Switzerland) · 2025Review
- Audio signal analysis using a modified forward-forward algorithm with enhanced segmentation for soil pest detection.Scientific reports · 2025Article
- Cloud-edge-device collaborative computing in smart agriculture: architectures, applications, and future perspectives.Frontiers in plant science · 2025Review
- Construction Jobsite Image Classification Using an Edge Computing Framework.Sensors (Basel, Switzerland) · 2024Article
- Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater.Sensors (Basel, Switzerland) · 2024Review
- Two-Way FDI assists agricultural sustainable development: Based on digitalization and greening perspectives.PloS one · 2024Article
- Study on the influence mechanism of adoption of smart agriculture technology behavior.Scientific reports · 2023Article
- On-Device Intelligence for Malfunction Detection of Water Pump Equipment in Agricultural Premises: Feasibility and Experimentation.Sensors (Basel, Switzerland) · 2023Article
- Optimal Task Allocation Algorithm Based on Queueing Theory for Future Internet Application in Mobile Edge Computing Platform.Sensors (Basel, Switzerland) · 2022Article
- Editorial: Special Issue "Edge and Fog Computing for Internet of Things Systems".Sensors (Basel, Switzerland) · 2022Article
- Digital Transformation in Smart Farm and Forest Operations Needs Human-Centered AI: Challenges and Future Directions.Sensors (Basel, Switzerland) · 2022Article
- A Comprehensive Review of Internet of Things: Technology Stack, Middlewares, and Fog/Edge Computing Interface.Sensors (Basel, Switzerland) · 2022Review
- Dynamic Scheduling of Contextually Categorised Internet of Things Services in Fog Computing Environment.Sensors (Basel, Switzerland) · 2022Article
- Processing Complex Events in Fog-Based Internet of Things Systems for Smart Agriculture.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Cloud Computing is a well-established paradigm for building service-centric systems. However, ultra-low latency, high bandwidth, security, and real-time analytics are limitations in Cloud Computing when analysing and providing results for a large amount of data. Fog and Edge Computing offer solutions to the limitations of Cloud Computing. The number of agricultural domain applications that use the combination of Cloud, Fog, and Edge is increasing in the last few decades. This article aims to provide a systematic literature review of current works that have been done in Cloud, Fog, and Edge Computing applications in the smart agriculture domain between 2015 and up-to-date. The key objective of this review is to identify all relevant research on new computing paradigms with smart agriculture and propose a new architecture model with the combinations of Cloud-Fog-Edge. Furthermore, it also analyses and examines the agricultural application domains, research approaches, and the application of used combinations. Moreover, this survey discusses the components used in the architecture models and briefly explores the communication protocols used to interact from one layer to another. Finally, the challenges of smart agriculture and future research directions are briefly pointed out in this article.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.