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IoT-Driven circular economy model for sustainable rose greenhouse irrigation and resource recovery

  • Luz Calle-Quispe
  • , Andrea Mori-Novoa
  • , Jose Velasquez-Costa
  • , Javier Torres-Zavala
  • , Cristina Losada-Gutierrez
  • Universidad Peruana de Ciencias Aplicadas
  • University of Alcalá

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The floriculture industry faces growing challenges in resource efficiency and environmental sustainability, especially in greenhouse rose production, where conventional manual irrigation methods often lead to excessive water and nutrient consumption. This study presents the design and implementation of an IoT-driven circular economy model that integrates smart irrigation control with water and nutrient recovery systems in rose greenhouses. The proposed prototype employs an ESP32 microcontroller connected to soil moisture, pH, temperature, flow, and water-level sensors to monitor environmental conditions in real time. When soil humidity drops below the optimal threshold (30-35 %), the system automatically activates water pumps, ensuring precise irrigation while minimizing waste. Collected drainage water is filtered, rebalanced in p H(6.0-6.5), and recirculated to achieve up to 40% reduction in total water use and 35% savings in nutrient input compared to manual irrigation. Moreover, floral residues are composted and reused as biofertilizer, closing the material loop within the production cycle. Results indicate a 52% improvement in overall resource efficiency and a 28% decrease in operational costs, demonstrating the feasibility of circular practices supported by IoT automation in sustainable rose cultivation. This model contributes to the transition toward Industry 4.0 and Circular Economy integration in the agricultural sector, offering a scalable solution for eco-efficient greenhouse management.

Original languageEnglish
Title of host publicationProceedings of the 2025 IEEE 5th International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2025
EditorsGianpierre Zapata Ramirez, Heyul Chavez Arias, Carlos Raymundo Ibanez
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331581534
DOIs
StatePublished - 2025
Event5th IEEE International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2025 - Hybrid, Cajamarca, Peru
Duration: 11 Dec 202513 Dec 2025

Publication series

NameProceedings of the 2025 IEEE 5th International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2025

Conference

Conference5th IEEE International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2025
Country/TerritoryPeru
CityHybrid, Cajamarca
Period11/12/2513/12/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  3. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Circular economy
  • Industry 4.0
  • IoT
  • Resource Recovery
  • Roses
  • Smart Irrigation
  • Sustainable Greenhouse

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