Supporting Growers with Recommendations in RedVides: Some Human Aspects Involved

This paper discusses some human aspects that are to be considered when designing recommendations for RedVides, a cloud based networking environment that collects the status of the crop with sensors and can take decisions through corresponding actuators. The goal behind is to support growers in decision making processes, which can be benefited from collaborations among growers and with other stakeholders.

[1]  Costas Pontikakos,et al.  Pest management control of olive fruit fly (Bactrocera oleae) based on a location-aware agro-environmental system , 2012 .

[2]  Stanley Robson de Medeiros Oliveira,et al.  Desenvolvimento e validação de um sistema de recomendação de informações tecnológicas sobre cana-de-açúcar , 2013 .

[3]  E. Stover,et al.  Development and Testing of a Recommendation System to Schedule Copper Sprays for Citrus Disease Control , 2005 .

[4]  G. Schiefer,et al.  Review: Future internet and the agri-food sector: State-of-the-art in literature and research , 2012 .

[5]  Nancy Alonistioti,et al.  Farm management systems and the Future Internet era , 2012 .

[6]  Jens Wiebensohn,et al.  Methods and procedures for automatic collection and management of data acquired from on-the-go sensors with application to on-the-go soil sensors , 2012 .

[7]  Antonio Mauro Saraiva,et al.  An infrastructure for the development of distributed service-oriented information systems for precision agriculture , 2007 .

[8]  Nikos Manouselis,et al.  Revisiting the Multi-Criteria Recommender System of a Learning Portal , 2012, RecSysTEL@EC-TEL.

[9]  Robin D. Burke,et al.  Hybrid Recommender Systems: Survey and Experiments , 2002, User Modeling and User-Adapted Interaction.

[10]  Nikolaos F. Matsatsinis,et al.  Agricultural product development using multidimensional and multicriteria analyses: The case of wine , 1996 .

[11]  Disraelly Hander G. Pereira,et al.  A pragmatic approach for sustainable development based on semantic web services , 2012, IIWAS '12.

[12]  Vikrambhai S. Sorathia,et al.  Semantic and Rule Based Event-driven Services-Oriented Agricultural Recommendation System , 2006, 26th IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW'06).

[13]  Olga C. Santos,et al.  An Approach for an Affective Educational Recommendation Model , 2014, Recommender Systems for Technology Enhanced Learning.

[14]  Olga C. Santos,et al.  User‐centred design and educational data mining support during the recommendations elicitation process in social online learning environments , 2015, Expert Syst. J. Knowl. Eng..

[15]  Alejandro Zunino,et al.  Application note: RESTful Web Services improve the efficiency of data transfer of a whole-farm simulator accessed by Android smartphones , 2012 .

[16]  Dionysis Bochtis,et al.  Conceptual model of a future farm management information system , 2010 .

[17]  Yi-Chun Liao.  Green Product Retrieval and Recommendations System , 2011 .

[18]  Hojat Ahmadi,et al.  Review of Farm Management Information Systems (FMIS) , 2010 .

[19]  Penelope Markellou,et al.  Personalised web services for agricultural domain: a case study for recommending organic seeds to farmers and growers , 2009 .