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]
Full text disponibile come:
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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