TY - CHAP
T1 - Dealing with Uncertainties in IT Solutions for Agriculture
AU - Antonelli, Leandro
AU - Collazos, Cesar
AU - Zarate, Pascale
AU - Delgado, Vanessa Agredo
AU - Camilleri, Guy
AU - Fernandez, Alejandro
AU - Hernandez, Jorge
AU - Torres, Diego
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - Technology is essential for the improvement and efficiency of activities in the agricultural environment. Nevertheless, farmers and IT’s worlds are distant. Usually, IT services fail to provide the correct solution and farmers are reluctant to incorporate new IT advances. IT teams need to acquire agricultural knowledge and language in order to communicate, to reduce the distance, and cooperate. Nevertheless, during this process and particularly, in agriculture, there are many uncertainties. If they are not clearified, it will not be possible to provide the right IT solution. These uncertainties are translated as a lack of precision in the requirements specifications. Sometimes, it is as easy as elicit more information from the stakeholders to improve the specification. In some other situations, the stakeholders have different points of view and they need to reach a concensus. These uncertainties are hard to identify. IT teams and farmers must speak the same technical and specific language and the IT team needs a complete and exhaustive specification about how software applications must react. Agriculture is a biological environment with many rules and decisions that are not easy to make explicit. Therefore, it is important to involve a group of farmers as with complementary and different point of view. Thus, this article proposes an approach to deal with uncertainties in order to provide the unambiguous and complete specification. The approach relies on capturing knowledge through scenarios. It consists of three main steps to obtain the scenarios: (i) a collaborative knowledge acquisition, (ii) scenarios description and analysis, and (iii) group decision support.
AB - Technology is essential for the improvement and efficiency of activities in the agricultural environment. Nevertheless, farmers and IT’s worlds are distant. Usually, IT services fail to provide the correct solution and farmers are reluctant to incorporate new IT advances. IT teams need to acquire agricultural knowledge and language in order to communicate, to reduce the distance, and cooperate. Nevertheless, during this process and particularly, in agriculture, there are many uncertainties. If they are not clearified, it will not be possible to provide the right IT solution. These uncertainties are translated as a lack of precision in the requirements specifications. Sometimes, it is as easy as elicit more information from the stakeholders to improve the specification. In some other situations, the stakeholders have different points of view and they need to reach a concensus. These uncertainties are hard to identify. IT teams and farmers must speak the same technical and specific language and the IT team needs a complete and exhaustive specification about how software applications must react. Agriculture is a biological environment with many rules and decisions that are not easy to make explicit. Therefore, it is important to involve a group of farmers as with complementary and different point of view. Thus, this article proposes an approach to deal with uncertainties in order to provide the unambiguous and complete specification. The approach relies on capturing knowledge through scenarios. It consists of three main steps to obtain the scenarios: (i) a collaborative knowledge acquisition, (ii) scenarios description and analysis, and (iii) group decision support.
UR - https://www.scopus.com/pages/publications/86000054792
U2 - 10.1007/978-3-031-70745-2_10
DO - 10.1007/978-3-031-70745-2_10
M3 - Chapter
AN - SCOPUS:86000054792
T3 - Studies in Systems, Decision and Control
SP - 141
EP - 157
BT - Studies in Systems, Decision and Control
PB - Springer Science and Business Media Deutschland GmbH
ER -