## 6 Conclusions and Policy Implications  
In this paper we started acknowledging the potentials of digital irrigated agriculture. At this end ICTs are recognized to be one of the most promising tools to aid the sector [68]. Through a brief review of applied economic studies, we highlighted a lack of success of many ICT-development initiatives [21]. Technical barriers undermine information implementation for irrigation management and benefits from ICT-aided decision processes are unclear and extremely variable. This poses constraints for ICT development and growth because investments are not easily justifiable and returns doubtful [4]. Other than technical barriers, one of the major issues highlighted in both qualitative and quantitative studies is that new ICT platforms generate uncertainty on information reliability. Because of this, DMs' behavior appears to be strongly limiting ICT-information implementation, but the topic remains to be deepened. Accordingly, we found no study in the applied economic literature to be addressing this issue and providing the needed theoretical support to model behaviors in ICT-aided decisions. To face this problem, we sought for support in the wider economic literature. Here, many theories have been developed, but the one considered to best fit with our uncertainty settings is the one of AA developed by [PERSON] [18]. With it, we framed uncertainty and explained why ambiguity and AA are key elements in describing the issue of low rates in new ICT-information implementation. Our proposed approach to address uncertainty in ICT implementation is different from most of applied studies on ICT adoption in agriculture. Here, RA is often considered to be the only behavioral driver for technology adoption and different sources of uncertainty are treated indistinctly. Because ICT are peculiar technologies providing information capable of reducing risk but raising ambiguity, AA needs to be analyzed to better explain the process of ICT-information implementation. Accordingly, since the reliability of new platforms is uncertain, an AA behavior can impede DMs in implementing ICT-information. Key role is played by a DM experiencing with the new technology without necessarily need to buy information received or put information into actions at his own risk. This would help WAs or farmers to learn whether the ICT provided is reliable or not, therefore reducing or solving ambiguity. What we have learned on how ambiguity enters into ICT-information uptake in irrigated agriculture is of strong policy relevance too. Accordingly, to be able to implement optimal strategies for ICT development and adoption, it is important to understand how DMs perceive new pieces of information [53]. To act in favor of the digital irrigated agriculture, there could be three main categories of policies developed: (1) ICT-development policies; (2) uncertainty-management policies and (3) agricultural and water policies. These are motivated by the potential economic benefits from ICT-aided irrigation plans and should favor an efficient digitalization process. In particular, the policy implications we drew are:  
1. ICT-development policies are needed to overcome issues of information usability and boost ICT-potentials. The simple information provision is not sufficient to allow its implementation because of local specificities in the end-user's information environment. This is especially true for irrigation management, where climate and technical elements can vary significantly between decision contexts and can hinder ICT-information implementation. At this end, ICT are suggested to aim at delivering information tailored to farmers' or WAs' specific needs [22]. However, most of ICT projects are characterized by a top down technological development where platforms are designed without involving end-users [3]. This causes phenomena such as the \"loading dock\" [69] where end-users are provided with relevant climate information which has no use in reality because its form is incompatible with actual decision making [21].