Implementation of an Enhanced Edge Computing System for the Optimization of Strawberry Crop in Greenhouses: A Smart Agriculture Approach
This study introduces AgroTec 4.0, which is a smart farming system designed to revolutionize strawberry cultivation in greenhouses through the integration of edge computing technology in the Andean region of Ecuador. The primary objective has been to enhance cultivation efficiency by comparing resul...
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| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/14/12/3030 |
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| author | Paula Abdo-Peralta Cristian García-Pumagualle Katherin Carrera-Silva Catherine Frey Carlos Rolando Rosero-Erazo John Ortega-Castro Juan Sebastián Silva Orozco Theofilos Toulkeridis |
| author_facet | Paula Abdo-Peralta Cristian García-Pumagualle Katherin Carrera-Silva Catherine Frey Carlos Rolando Rosero-Erazo John Ortega-Castro Juan Sebastián Silva Orozco Theofilos Toulkeridis |
| author_sort | Paula Abdo-Peralta |
| collection | DOAJ |
| description | This study introduces AgroTec 4.0, which is a smart farming system designed to revolutionize strawberry cultivation in greenhouses through the integration of edge computing technology in the Andean region of Ecuador. The primary objective has been to enhance cultivation efficiency by comparing results from strawberry crops with and without the system, under identical greenhouse conditions. Given the low educational and economic status of local farmers, AgroTec 4.0 was engineered to be user-friendly, easy to operate, and cost-effective, empowering producers with data-driven decision-making capabilities. Key findings underscore the potential of AgroTec 4.0 and agricultural data, including a 15% increase in strawberry yield, from 5.0 kg/m<sup>2</sup> in the control greenhouse to 5.75 kg/m<sup>2</sup> with AgroTec 4.0, highlighting the system’s ability to maximize productivity. There has also been a significant 20% reduction in water usage, decreasing from 80 L/m<sup>2</sup> in the control greenhouse to 64 L/m<sup>2</sup> with the system, showcasing AgroTec 4.0’s efficiency in resource management. Furthermore, there were significant improvements in fruit quality, with an 11.8% increase in the Brix index (from 8.5 to 9.5) and a 16.7% increase in average fruit weight (from 30 to 35 g), demonstrating the system’s capacity to enhance product quality. Finally, there has been an impressive 103.03% return on investment (ROI) with AgroTec 4.0, compared to no change in ROI in the control greenhouse, emphasizing the economic value of implementing this technology. These results underscore the transformative potential of AgroTec 4.0 in precision agriculture, offering a scalable and sustainable approach for small-scale producers in Ecuador. The system’s modularity and real-time data analysis capabilities allow for flexible adaptation to various needs, providing farmers with an intuitive interface for managing crops and optimizing resource use. This study demonstrates the feasibility of leveraging agricultural data and edge computing to improve cultivation practices and enhance productivity, contributing efficiently to the sustainability of agriculture in challenging environments. |
| format | Article |
| id | doaj-art-1bac70c5227c4569859d5eb2db4698ff |
| institution | DOAJ |
| issn | 2073-4395 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
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| series | Agronomy |
| spelling | doaj-art-1bac70c5227c4569859d5eb2db4698ff2025-08-20T02:55:38ZengMDPI AGAgronomy2073-43952024-12-011412303010.3390/agronomy14123030Implementation of an Enhanced Edge Computing System for the Optimization of Strawberry Crop in Greenhouses: A Smart Agriculture ApproachPaula Abdo-Peralta0Cristian García-Pumagualle1Katherin Carrera-Silva2Catherine Frey3Carlos Rolando Rosero-Erazo4John Ortega-Castro5Juan Sebastián Silva Orozco6Theofilos Toulkeridis7Faculty of Natural Resources, Escuela Superior Politécnica de Chimborazo, km 1 ½ Panamericana Sur, Riobamba 060155, EcuadorFaculty of Computer Science and Electronics, Escuela Superior Politécnica de Chimborazo, km 1 ½ Panamericana Sur, Riobamba 060155, EcuadorIndependent Researcher, Riobamba 060155, EcuadorIndependent Researcher, Riobamba 060155, EcuadorIndependent Researcher, Riobamba 060155, EcuadorFaculty of Natural Resources, Escuela Superior Politécnica de Chimborazo, km 1 ½ Panamericana Sur, Riobamba 060155, EcuadorFaculty of Natural Resources, Escuela Superior Politécnica de Chimborazo, km 1 ½ Panamericana Sur, Riobamba 060155, EcuadorSchool of Geology, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreeceThis study introduces AgroTec 4.0, which is a smart farming system designed to revolutionize strawberry cultivation in greenhouses through the integration of edge computing technology in the Andean region of Ecuador. The primary objective has been to enhance cultivation efficiency by comparing results from strawberry crops with and without the system, under identical greenhouse conditions. Given the low educational and economic status of local farmers, AgroTec 4.0 was engineered to be user-friendly, easy to operate, and cost-effective, empowering producers with data-driven decision-making capabilities. Key findings underscore the potential of AgroTec 4.0 and agricultural data, including a 15% increase in strawberry yield, from 5.0 kg/m<sup>2</sup> in the control greenhouse to 5.75 kg/m<sup>2</sup> with AgroTec 4.0, highlighting the system’s ability to maximize productivity. There has also been a significant 20% reduction in water usage, decreasing from 80 L/m<sup>2</sup> in the control greenhouse to 64 L/m<sup>2</sup> with the system, showcasing AgroTec 4.0’s efficiency in resource management. Furthermore, there were significant improvements in fruit quality, with an 11.8% increase in the Brix index (from 8.5 to 9.5) and a 16.7% increase in average fruit weight (from 30 to 35 g), demonstrating the system’s capacity to enhance product quality. Finally, there has been an impressive 103.03% return on investment (ROI) with AgroTec 4.0, compared to no change in ROI in the control greenhouse, emphasizing the economic value of implementing this technology. These results underscore the transformative potential of AgroTec 4.0 in precision agriculture, offering a scalable and sustainable approach for small-scale producers in Ecuador. The system’s modularity and real-time data analysis capabilities allow for flexible adaptation to various needs, providing farmers with an intuitive interface for managing crops and optimizing resource use. This study demonstrates the feasibility of leveraging agricultural data and edge computing to improve cultivation practices and enhance productivity, contributing efficiently to the sustainability of agriculture in challenging environments.https://www.mdpi.com/2073-4395/14/12/3030crop optimizationIoT in agriculturegreenhouse managementsensorsdata visualizationsmart agriculture |
| spellingShingle | Paula Abdo-Peralta Cristian García-Pumagualle Katherin Carrera-Silva Catherine Frey Carlos Rolando Rosero-Erazo John Ortega-Castro Juan Sebastián Silva Orozco Theofilos Toulkeridis Implementation of an Enhanced Edge Computing System for the Optimization of Strawberry Crop in Greenhouses: A Smart Agriculture Approach Agronomy crop optimization IoT in agriculture greenhouse management sensors data visualization smart agriculture |
| title | Implementation of an Enhanced Edge Computing System for the Optimization of Strawberry Crop in Greenhouses: A Smart Agriculture Approach |
| title_full | Implementation of an Enhanced Edge Computing System for the Optimization of Strawberry Crop in Greenhouses: A Smart Agriculture Approach |
| title_fullStr | Implementation of an Enhanced Edge Computing System for the Optimization of Strawberry Crop in Greenhouses: A Smart Agriculture Approach |
| title_full_unstemmed | Implementation of an Enhanced Edge Computing System for the Optimization of Strawberry Crop in Greenhouses: A Smart Agriculture Approach |
| title_short | Implementation of an Enhanced Edge Computing System for the Optimization of Strawberry Crop in Greenhouses: A Smart Agriculture Approach |
| title_sort | implementation of an enhanced edge computing system for the optimization of strawberry crop in greenhouses a smart agriculture approach |
| topic | crop optimization IoT in agriculture greenhouse management sensors data visualization smart agriculture |
| url | https://www.mdpi.com/2073-4395/14/12/3030 |
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