Considering the challenges on sustainable agriculture in the district, different institutions join hands to overcome these issues and respond to the felt need of working more integrative both in the agricultural sector and environmental knowledge system. Adding a sense of urgency due to COVID-19 into problem analysis, these institutions accelerated the ambition to develop a Digital Farmer Field School (DFFS). This paper elaborates on the co-construction of principles for the design of a Digital Farmer Field School (DFFS) by the local stakeholders in Enrekang district. The local design team design of the DFFS Enrekang is composed of a transdisciplinary team from relevant government institutions and research institutions. The design principles of DFFS are built around inclusive design principles, concepts of interface usability based on different type of access to digital technology models, responsible innovation criteria and learning principles of farmer field school (FFS). The DFFS Enrekang design principles serve as guiding principles and shared value among the collaborating institutions to combine ambition, inspiration, and accountability in the DFFS management and development processes. This tablet based digital learning platform aims to provide an alternative for farmers to access information on sustainable agricultural and environmental practices.
MULTIFILE
High-tech horticulture production methods (such as vertical farming, hydroponics and other related technology possibilities), combined with evolving market side possibilities (consumer’s willingness to pay for variety, food safety and security), are opening new ways to create and deliver value. In this paper we present four emerging business models and attempt to understand the conditions under which each business model is able to create positive market value and sustained business advantage. The first of these four models is the case of a vertically integrated production to retail operation. The second model is the case of a production model with assured retail/distribution side commitment. The third model deals with a marketing/branding driven production model with differentiated market positioning. Finally, the forth is a production model with direct delivery to the end-consumer based upon the leveraging of wide spread digital technology in the consumer market. To demonstrate these four business models, we analyze practical case studies and analyze their market approach and impact. Using this analysis, we create a framework that enables entrepreneurs and businesses to adopt a business model that matches their capabilities with market opportunities.
Passenger flow management is an important issue at many airports around the world. There are high concentrations of passengers arriving and leaving the airport in waves of large volumes in short periods, particularly in big hubs. This might cause congestion in some locations depending on the layout of the terminal building. With a combination of real airport data, as well as synthetic data obtained through an airport simulator, a Long Short-Term Memory Recurrent Neural Network has been implemented to predict the possible trajectories that passengers may travel within the airport depending on user-defined passenger profiles. The aim of this research is to improve passenger flow predictability and situational awareness to make a more efficient use of the airport, that could also positively impact communication with public and private land transport operators.
