2011
DOI: 10.1504/ijsoi.2011.041419
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An expert system for vineyard management based upon ubiquitous network technologies

Abstract: Vineyard operations for quality wines production are currently based upon costly and time-consuming manual sampling operations required to assess the maturity phases of grapevines. The ripening process however is significantly influenced by the environmental parameters which nowadays can be effectively monitored by means of ubiquitous computing technologies. Besides the possibility of gathering data, hence, suitable tools are required to support the vineyard management process. The present research concerns th… Show more

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Cited by 7 publications
(8 citation statements)
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“…More specifically, alternative irrigation options (e.g., drip, deficit) [55,56] and wastewater treatment techniques (i.e., aerobic, anaerobic, or their combination) [54] result in different levels of water savings. In addition, the implementation of digital technologies (e.g., sensors used during viticulture) [57,58] or holistic approaches for water-friendly activities across the whole wine supply chain [59] can further support an advanced and complete water stewardship plan. An indicative list of WF mitigation practices in the winemaking industry is tabulated in Table 3.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…More specifically, alternative irrigation options (e.g., drip, deficit) [55,56] and wastewater treatment techniques (i.e., aerobic, anaerobic, or their combination) [54] result in different levels of water savings. In addition, the implementation of digital technologies (e.g., sensors used during viticulture) [57,58] or holistic approaches for water-friendly activities across the whole wine supply chain [59] can further support an advanced and complete water stewardship plan. An indicative list of WF mitigation practices in the winemaking industry is tabulated in Table 3.…”
Section: Discussionmentioning
confidence: 99%
“…To a greater extent, we propose the digitalisaiton of the wine supply chain, particularly at the farming echelon. In this regard, sensor technologies are reported to support the decision-making process concerning the water stewardship of agrifood commodities [57], which could also be pertinent to the case of the wine supply chain. The use of sensors in grapes' farming for monitor freshwater use and other related parameters (e.g., soil moisture) is an indicative digital intervention that relates to the quality of the wine production.…”
Section: Practical Implicationsmentioning
confidence: 99%
“…ARIMA model [25], can reflect the structure and characteristics of time series more essentially and then achieve the optimal prediction of minimum variance, which is different from the time series method that depends on different constraints [26,27]. This model has been widely used in public transport [28], health care [29] and other aspects of evaluation [30].…”
Section: Development Of Four Methodsmentioning
confidence: 99%
“…In addition to the field of energy research, this approach is also applicable to the prediction of non-stationary behavior in the field of agrifood and health. The adaptive MA model has been assessed and forecasted in vineyard management and health care structures [22,23]. Based on the above three models, scholars have successively proposed the following complex linear model.…”
Section: Literature Reviewmentioning
confidence: 99%