Smart Farming Irrigation Systems using Internet of Things

The data was collected through a questionnaire that was administered to participants to capture their opinions, experiences, and perceptions on IoT Smart Farming Irrigation Systems. A panel consisting of 10 experts participated in a Delphi Survey exercise. This survey was conducted in two iterative questionnaire rounds with each round building on the responses from the previous round to refine the data. Inductive coding method was used to analyze the textual responses from the Delphi panel of experts. The initial phase of the coding process involved reading the data and identifying key phrases that participants mentioned. The initial codes were subsequently reduced into categories and duplicates were removed to refine the data for further analysis. This was finally followed by developing a hierarchical coding framework the themes that emerged from the responses. The panel of experts completed all iterative rounds with their informed consent. Participants had the right to withdraw from the Delphi survey at any stage during the exercise.