World population is expected to reach 9.7 billion by 2050. Thus, a significant increase in agricultural production is required to accommodate population growth. However, environmental crises and urbanization pose a threat to agriculture. Vertical farming can partially mitigate these effects by growing plants while optimizing space and maximizing several outdoor resources. However, this approach necessitates thoroughly re-evaluating cultivation techniques and environmental factors. This chapter proposes a holistic, sustainable agricultural framework for developing indoor farming systems, which consists of a methodology for creating crop growth procedures from experimental data using statistical analysis and artificial intelligence algorithms. The proposed method aims to balance resource utilization and productivity in vertical farming. Furthermore, the authors propose a design framework to create a sustainable aeroponic system structure. This structure aims to provide a test bench to prove the effectiveness of the said methodology.

Cyber-Physical System Framework for Efficient Management of Indoor Farming Production / Awouda, Ahmed Mubarak Mekki; Fasciolo, Benedetta; Bruno, Giulia; Razza, Valentino (ADVANCES IN ENVIRONMENTAL ENGINEERING AND GREEN TECHNOLOGIES BOOK SERIES). - In: Contemporary Developments in Agricultural Cyber- Physical SystemsELETTRONICO. - [s.l] : IGI Global, 2023. - ISBN 9781668478790. - pp. 66-86 [10.4018/978-1-6684-7879-0.ch004]

Cyber-Physical System Framework for Efficient Management of Indoor Farming Production

Awouda, Ahmed Mubarak Mekki;Fasciolo, Benedetta;Bruno, Giulia;Razza, Valentino
2023

Abstract

World population is expected to reach 9.7 billion by 2050. Thus, a significant increase in agricultural production is required to accommodate population growth. However, environmental crises and urbanization pose a threat to agriculture. Vertical farming can partially mitigate these effects by growing plants while optimizing space and maximizing several outdoor resources. However, this approach necessitates thoroughly re-evaluating cultivation techniques and environmental factors. This chapter proposes a holistic, sustainable agricultural framework for developing indoor farming systems, which consists of a methodology for creating crop growth procedures from experimental data using statistical analysis and artificial intelligence algorithms. The proposed method aims to balance resource utilization and productivity in vertical farming. Furthermore, the authors propose a design framework to create a sustainable aeroponic system structure. This structure aims to provide a test bench to prove the effectiveness of the said methodology.
2023
9781668478790
9781668478813
Contemporary Developments in Agricultural Cyber- Physical Systems
File in questo prodotto:
File Dimensione Formato  
Manuscript_Revised.pdf

non disponibili

Descrizione: Cyber-Physical System Framework for Efficient Management of Indoor Farming Production
Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 385.51 kB
Formato Adobe PDF
385.51 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Cyber-Physical-System-Framework-for-Efficient-Management-of-Indoor-Farming-Production.pdf

non disponibili

Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 925.82 kB
Formato Adobe PDF
925.82 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2981338