ArticleSensors (Basel, Switzerland)2022
LoRa Based IoT Platform for Remote Monitoring of Large-Scale Agriculture Farms in Chile.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed.
- LoRa-Based Data Mule Technology for Fuel Station Monitoring in Underground Mining.Sensors (Basel, Switzerland) · 2026Article
- The Potential of Low-Cost IoT-Enabled Agrometeorological Stations: A Systematic Review.Sensors (Basel, Switzerland) · 2025Review
- A Low-Cost pH Sensor for Real-Time Monitoring of Aquaculture Systems in a Multi-Layer Wireless Sensor Network.Sensors (Basel, Switzerland) · 2025Article
- Bat2Web: A Framework for Real-Time Classification of Bat Species Echolocation Signals Using Audio Sensor Data.Sensors (Basel, Switzerland) · 2024Article
- A Development of an IoT-Based Connected University System: Progress Report.Sensors (Basel, Switzerland) · 2023Article
- A Smart Agricultural System Based on PLC and a Cloud Computing Web Application Using LoRa and LoRaWan.Sensors (Basel, Switzerland) · 2023Article
- Battery-Less Industrial Wireless Monitoring and Control System for Improved Operational Efficiency.Sensors (Basel, Switzerland) · 2023Article
- Requirements, Deployments, and Challenges of LoRa Technology: A Survey.Computational intelligence and neuroscience · 2023Review
- Towards making the fields talks: A real-time cloud enabled IoT crop management platform for smart agriculture.Frontiers in plant science · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Nowadays, conventional agriculture farms lack high-level automated management due to the limited number of installed sensor nodes and measuring devices. Recent progress of the Internet of Things (IoT) technologies will play an essential role in future smart farming by enabling automated operations with minimum human intervention. The main objective of this work is to design and implement a flexible IoT-based platform for remote monitoring of agriculture farms of different scales, enabling continuous data collection from various IoT devices (sensors, actuators, meteorological masts, and drones). Such data will be available for end-users to improve decision-making and for training and validating advanced prediction algorithms. Unlike related works that concentrate on specific applications or evaluate technical aspects of specific layers of the IoT stack, this work considers a versatile approach and technical aspects at four layers: farm perception layer, sensors and actuators layer, communication layer, and application layer. The proposed solutions have been designed, implemented, and assessed for remote monitoring of plants, soil, and environmental conditions based on LoRaWAN technology. Results collected through both simulation and experimental validation show that the platform can be used to obtain valuable analytics of real-time monitoring that enable decisions and actions such as, for example, controlling the irrigation system or generating alarms. The contribution of this article relies on proposing a flexible hardware and software platform oriented on monitoring agriculture farms of different scales, based on LoRaWAN technology. Even though previous work can be found using similar technologies, they focus on specific applications or evaluate technical aspects of specific layers of the IoT stack.
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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.