En síntesis, el presente documento tiene un carácter marcadamente exploratorio. Por lo tanto, el objetivo es modesto pues no se pretende medir o evaluar los efectos, sino identificarlos y describirlos en la medida que los actores del proceso los signifiquen como tales. Esto permitirá, a futuro, estudios más profundos sobre la base de una mejor compresión de las lógicas intrínsecas de los procesos de innovación. El documento está organizado en cuatro apartados. El primero resume las aproximaciones conceptuales relevantes sobre el tema.
Agriculture 4.0 is comprised of different already operational or developing technologies such as robotics, nanotechnology, synthetic protein, cellular agriculture, gene editing technology, artificial intelligence, blockchain, and machine learning, which may have pervasive effects on future agriculture and food systems and major transformative potential. These technologies underpin concepts such as vertical farming and food systems, digital agriculture, bioeconomy, circular agriculture, and aquaponics.
Undoubtedly, high demands for food from the world-wide growing population are impacting the environment and putting many pressures on agricultural productivity. Agriculture 4.0, as the fourth evolution in the farming technology, puts forward four essential requirements: increasing productivity, allocating resources reasonably, adapting to climate change, and avoiding food waste.
The problems of agricultural development for small and medium enterprises (SMEs) are considered. The features of modeling business processes in agriculture are analyzed. A financial decision support system is proposed to increase sustainability and reduce risks in the development of agricultural SMEs. The software modules are based on TEO-INVEST.
In the SALSA project, transdisciplinarity means a process of integration of knowledge between researchers belonging to different disciplines (in our case, sociology, economics, anthropology, geography) and with non-academic actors such as NGOs members, innovation brokers, policy makers). The role of transdisciplinary theory building within SALSA is to link diverse areas of knowledge through a co-constructed conceptual framework in order to underpin effective action towards improved FNS.
The SALSA project aims at assessing the current and future role of small farms and related small food businesses in contributing to sustainable food and nutrition security at regional level in Europe and in selected African regions, and to identify the conditions for them to meet the demand for food in an increasingly populated and resource-constrained world.
It is clear that any definition of a small farm needs to be based on national and regional realities. Definitions involving only the criterion of farm size have universal appeal as they are relatively easy to apply and allow simple comparisons across countries and world regions. However, they don't capture all the complexities of farming. Definitions involving additional criteria to farm size are more meaningful, particularly those including indicators of the farm economic output, but data availability is often a limitation (Ruane, 2016).
The project Small Farms, Small Food Business and Sustainable Food Security (SALSA) intends to assess the role of small farms and small food business in terms of food production and food security. One important first step in doing this is to test and develop methods and tools able to produce accurate and useful information about small farms.
This deliverable is a report on the main methodological steps implemented in the framework of the Small Farms, Small Food Business and Sustainable Food Security (SALSA) project in task 2.3 of Work Package 2 (WP2) to produce the Output 3, which is a crop type map in small farms context in each reference region (see D.2.4 report pag. 5).
This deliverable is a report of the work done in the framework of the Small Farms, Small Food Business and Sustainable Food Security (SALSA) project in task 2.3 of Work Package (WP2) as defined in the description of work (DOW) of the SALSA project. The title of the task according to the DOW is Task 2.3 - Small farms characterization in the reference regions.