Environment Monitoring of Rose Crops Greenhouse Based on Autonomous Vehicles with a WSN and Data Analysis

This work presents a monitoring system for the environmental conditions of rose flower-cultivation in greenhouses. Its main objective is to improve the quality of the crops while regulating the production time. To this end, a system consisting of autonomous quadruped vehicles connected with a wirele...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2020-10, Vol.20 (20), p.5905
Main Authors: Rosero-Montalvo, Paul D., Erazo-Chamorro, Vanessa C., López-Batista, Vivian F., Moreno-García, María N., Peluffo-Ordóñez, Diego H.
Format: Article
Language:English
Subjects:
Algorithms
ambient intelligence
Autonomous vehicles
Classification
Consumption
Crops
Cultivation
Data analysis
Data collection
Embedded systems
Environmental impact
Global positioning systems
GPS
Greenhouses
Humidity
Internet of Things
Machine learning
Monitoring
monitoring systems
roses crops
Route selection
Sensors
Wireless networks
Wireless sensor networks
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Summary:This work presents a monitoring system for the environmental conditions of rose flower-cultivation in greenhouses. Its main objective is to improve the quality of the crops while regulating the production time. To this end, a system consisting of autonomous quadruped vehicles connected with a wireless sensor network (WSN) is developed, which supports the decision-making on type of action to be carried out in a greenhouse to maintain the appropriate environmental conditions for rose cultivation. A data analysis process was carried out, aimed at designing an in-situ intelligent system able to make proper decisions regarding the cultivation process. This process involves stages for balancing data, prototype selection, and supervised classification. The proposed system produces a significant reduction of data in the training set obtained by the WSN while reaching a high classification performance in real conditions—amounting to 90% and 97.5%, respectively. As a remarkable outcome, it is also provided an approach to ensure correct planning and selection of routes for the autonomous vehicle through the global positioning system.
ISSN:1424-8220
1424-8220
DOI:10.3390/s20205905