SECOND GENERATION FRUGAL INNOVATION - TOWARDS APPROPRIATE FRUGAL AGRICULTURAL INNOVATION FOR FAMILY FARMS IN ANGOLA

• DOI: 10.37572/EdArt_31072559813

• Palavras-chave: family farming, 3D printing, additive manufacturing, agriculture, frugal development, Angola, enterprise 4.0, Africa, competitive intelligence

• Keywords: family farming, 3D printing, additive manufacturing, agriculture, frugal development, Angola, enterprise 4.0, Africa, competitive intelligence

• Abstract:

  Second-generation frugal development is based on the fact that locally, on family farms, crops remain based on ancestral protocols far removed from all current technological aspects. Based on this observation, it is possible, through a retrospective search for old technologies, to select those that would be adaptable to the local context, then to improve them through the use of more modern technologies. Behind the expression "more modern technologies", lie, as discussed in the rest of this article, 3D polymer or metal printing, but also, in fact, all the basic elements of enterprise 4.0 and in particular the possibilities of computer-aided design, simulation and optimization. Possibilities necessary for production by 3D printing and allowing an upstream study of structured production around digital technology. This is what we call "second-generation frugal development". The use of 3D printing in Angola has been developed over the past 10 years at Agostinho Neto University in collaboration with France, which led to the creation of the experimental laboratory Yeto Lab. Based on this experience and because the use of 3D printing is beginning to develop in agriculture, we will implement "second-generation frugal development" using products developed locally at the university. The objective is to create a Living Lab in an experimental village to test and integrate technological systems into family agricultural production. The work presented here aims to take stock of scientific productions in this field and mainly on the state of African work. To this end, various search equations were tested in the Web of Science (WoS). It tooks several attempts to arrive at a search equation representative of the subject. The results highlight a wide dispersion of topics, with the following overall clusters: 3D-related aspects - agriculture and precision farming - mechanical properties - IoT Internet Big Data - food sector - environment. However, African research remains embryonic except for South Africa and Nigeria.