Promoting sustainable intensification in precision agriculture: review of decision support systems development and strategies

By Jessica Lindblom, Christina Lundström, M. Ljung, Anders Jonsson. Precision Agriculture, 2016

342 citations recorded by the source corpus.

Precision agriculture provides important issues toward a more sustainable agriculture. Many farmers have the necessary technology to operate site-specifically, but they do not use it in practice, and thus available information and communications technology (ICT) systems are not used to their full potential. This paper addresses how to reduce the so-called “problem of implementation”, based on the knowledge that participatory approaches during the design and development process is one of the most important factors to frame technology adoption. The development of sustainable ICT systems through theories and methodologies from the fields of human computer interaction and user-centered design (UCD) is presented and an ongoing Swedish project for development of an agricultural decision support system (AgriDSS) for nitrogen fertilization is used as an example to frame the issue. The overreaching aim is to develop AgriDSSs that are sustainable in design as well as through design by stressing the importance of participatory approaches for the successful development of AgriDSSs. The Swedish project has the intention to apply a UCD approach, and some pitfalls on starting to use this way of working is identified as well as some suggestions on how to reduce them through co-learning processes. Despite the challenges presented in this paper, ICT can contribute significantly to long-term sustainable development. Thus, several competences and scientific disciplines need to act in concert to help develop a sustainable development of agriculture via a transdisciplinary approach that can make an impact on society at many levels.

Subfields: Information Systems, Management of Technology and Innovation, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/fa821e059b6d1f3e1790420b238198da514fb581

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Smart Farming Technology Trends: Economic and Environmental Effects, Labor Impact, and Adoption Readiness (2020, background): “PA is able to increase input efficiency for maintaining or even increasing production rate [35–37], using remote sensing technologies for data gathering with either satellite platforms for space imagery [38–40] or aircrafts/UAVs for aerial applications [41–43], combined use of sensor”