ArticleSensors (Basel, Switzerland)2018
Precision Agriculture Design Method Using a Distributed Computing Architecture on Internet of Things Context.
Article in Sensors (Basel, Switzerland), 2018. 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, 203 citations in OpenAlex.
- Federated Reinforcement Learning-Based Dynamic Resource Allocation and Task Scheduling in Edge for IoT Applications.Sensors (Basel, Switzerland) · 2025Article
- Smart Sensors and Smart Data for Precision Agriculture: A Review.Sensors (Basel, Switzerland) · 2024Review
- Monitoring Ambient Parameters in the IoT Precision Agriculture Scenario: An Approach to Sensor Selection and Hydroponic Saffron Cultivation.Sensors (Basel, Switzerland) · 2022Article
- LoRa Based IoT Platform for Remote Monitoring of Large-Scale Agriculture Farms in Chile.Sensors (Basel, Switzerland) · 2022Article
- Edge Computing Driven Data Sensing Strategy in the Entire Crop Lifecycle for Smart Agriculture.Sensors (Basel, Switzerland) · 2021Article
- Dimensioning of Wide-Area Alternate Wetting and Drying (AWD) System for IoT-Based Automation.Sensors (Basel, Switzerland) · 2021Article
- Monitoring Soil and Ambient Parameters in the IoT Precision Agriculture Scenario: An Original Modeling Approach Dedicated to Low-Cost Soil Water Content Sensors.Sensors (Basel, Switzerland) · 2021Article
- Optimal Analysis of Human Resources Allocation in Colleges and Universities Based on Internet of Things Technology.Computational intelligence and neuroscience · 2021Article
- IRRISENS: An IoT Platform Based on Microservices Applied in Commercial-Scale Crops Working in a Multi-Cloud Environment.Sensors (Basel, Switzerland) · 2020Article
- A Decision Support System for Water Optimization in Anti-Frost Techniques by Sprinklers.Sensors (Basel, Switzerland) · 2020Article
- Energy Versus Throughput Optimisation for Machine-to-Machine Communication.Sensors (Basel, Switzerland) · 2020Article
- Internet of Measurement Things Architecture: Proof of Concept with Scope of Accreditation.Sensors (Basel, Switzerland) · 2020Article
- Smart & Green: An Internet-of-Things Framework for Smart Irrigation.Sensors (Basel, Switzerland) · 2019Article
- Nanosystems, Edge Computing, and the Next Generation Computing Systems.Sensors (Basel, Switzerland) · 2019Review
- Sensors Driven AI-Based Agriculture Recommendation Model for Assessing Land Suitability.Sensors (Basel, Switzerland) · 2019Article
- Smart Management Consumption in Renewable Energy Fed Ecosystems.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Internet of Things (IoT) has opened productive ways to cultivate soil with the use of low-cost hardware (sensors/actuators) and communication (Internet) technologies. Remote equipment and crop monitoring, predictive analytic, weather forecasting for crops or smart logistics and warehousing are some examples of these new opportunities. Nevertheless, farmers are agriculture experts but, usually, do not have experience in IoT applications. Users who use IoT applications must participate in its design, improving the integration and use. In this work, different industrial agricultural facilities are analysed with farmers and growers to design new functionalities based on IoT paradigms deployment. User-centred design model is used to obtain knowledge and experience in the process of introducing technology in agricultural applications. Internet of things paradigms are used as resources to facilitate the decision making. IoT architecture, operating rules and smart processes are implemented using a distributed model based on edge and fog computing paradigms. A communication architecture is proposed using these technologies. The aim is to help farmers to develop smart systems both, in current and new facilities. Different decision trees to automate the installation, designed by the farmer, can be easily deployed using the method proposed in this document.
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.