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

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ID: 271212
2020
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Abstract
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.
Reference Key
rosero-montalvo2020sensorsenvironment Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Paul D. Rosero-Montalvo;Vanessa C. Erazo-Chamorro;Vivian F. López-Batista;María N. Moreno-García;Diego H. Peluffo-Ordóñez;Rosero-Montalvo, Paul D.;Erazo-Chamorro, Vanessa C.;López-Batista, Vivian F.;Moreno-García, María N.;Peluffo-Ordóñez, Diego H.;
Journal sensors
Year 2020
DOI
10.3390/s20205905
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