Paucek, Ivan ; 
Durante, Emanuele ; 
Pennisi, Giuseppina ; 
Quaini, Stefania ; 
Gianquinto, Giorgio ; 
Orsini, Francesco
  
(2023)
Database of indicators for vertical farming in Africa.
    University of Bologna.
     DOI 
10.6092/unibo/amsacta/8147.
    [Dataset]
  
  
 
  
  	
  	
	
  
  
  
  
  
  
  
    
  
    
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      Abstract
      The database has been elaborated with the aim of assessing the potential for vertical farming technology integration within the African continent, targeting the countries where a more sustainable approach could be achieved. A deep analysis of each territory’s major opportunities and challenges was built through an updated database of 147 development indicators from 54 African states. From the analysis of the database – included in the linked publication - countries such as South Africa, Seychelles, Egypt, Mauritius, Morocco, Tunisia, Algeria, Cape Verde, and Nigeria showed the best prospective for indoor vertical farming implementation. Moreover, Seychelles, South Africa, and Egypt resulted to be the countries where vertical indoor farming could be more sustainable.
     
    
      Abstract
      The database has been elaborated with the aim of assessing the potential for vertical farming technology integration within the African continent, targeting the countries where a more sustainable approach could be achieved. A deep analysis of each territory’s major opportunities and challenges was built through an updated database of 147 development indicators from 54 African states. From the analysis of the database – included in the linked publication - countries such as South Africa, Seychelles, Egypt, Mauritius, Morocco, Tunisia, Algeria, Cape Verde, and Nigeria showed the best prospective for indoor vertical farming implementation. Moreover, Seychelles, South Africa, and Egypt resulted to be the countries where vertical indoor farming could be more sustainable.
     
  
  
    
    
      Tipologia del documento
      Dataset
      
      
      
      
        
          Autori
          
          
        
      
        
      
        
      
        
          Parole chiave
          Indoor Farming; Controlled Environment Agriculture;
          
        
      
        
          Settori scientifico-disciplinari
          
          
        
      
        
      
        
      
        
          DOI
          
          
        
      
        
          Contributors
          
          
        
      
        
      
        
      
        
          Data di deposito
          31 Gen 2025 18:28
          
        
      
        
          Ultima modifica
          31 Gen 2025 18:28
          
        
      
        
          Risorse collegate
          
          
        
      
      
        Nome del Progetto
        
        Programma di finanziamento
        MUR - PRIN 2020
      
      URI
      
      
     
   
  
    Altri metadati
    
      Tipologia del documento
      Dataset
      
      
      
      
        
          Autori
          
          
        
      
        
      
        
      
        
          Parole chiave
          Indoor Farming; Controlled Environment Agriculture;
          
        
      
        
          Settori scientifico-disciplinari
          
          
        
      
        
      
        
      
        
          DOI
          
          
        
      
        
          Contributors
          
          
        
      
        
      
        
      
        
          Data di deposito
          31 Gen 2025 18:28
          
        
      
        
          Ultima modifica
          31 Gen 2025 18:28
          
        
      
        
          Risorse collegate
          
          
        
      
      
        Nome del Progetto
        
        Programma di finanziamento
        MUR - PRIN 2020
      
      URI
      
      
     
   
  
  
  
  
  
  
  
  
  
  
  
  
    
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