A geospatial decision support system for supporting quality viticulture at the landscape scale

Terribile, Fabio; Bonfante, Antonello; D'Antonio, Amedeo; Mascellis, Roberto De; Michele, Carlo De; Langella, Giuliano; Manna, Piero; Mileti, Florindo Antonio; Vingiani, Simona; Basile, Angelo

doi:10.1016/j.compag.2017.05.028

Cited by 29 publications

(22 citation statements)

References 49 publications

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“…Visualisations in viticulture enable a better vineyard monitoring, reducing costs and at the same time, generating a more transparent representation of the existent variability in the vineyard, which is valuable for the optimisation • AgroDSS [31] • AquaGIS [32] • • ATLAS [33] • • Blauth et al [34] • Byishimo et al [35] • CAMDT [36] • CropGIS [37] • • CropSAT [38] • • DIDAS [39] • DyNoFlo [40] • • Galindo et al [41] • GeoVisage [42] • Geovit [43] • GramyaVikas [44] • HydroQual [45] • Li et al [46] • LMTool [47] • • Luvisi et al [48] • mDSS [49] • SmartScape [50] • • VBoxReporting [51] Vite.net [52] • • • visualizeR [8] • ViPER [53] • Ochola et al [54] • Falcao et al [55] • LandCaRe DSS [56] • ValorE [57] • Agroland [58] • Gandhi et al [59] • • CaNaSTA [60] • eFarmer [61] • FARMERS [62] • PlanteInfo [63] • CropScape [64] • SIMAGRI [65] • FDSSFIS [66] • MOTIFS [67] • CarrotAge [68] • AgriSensor [69] • • • CognitiveInputs [70] • • Ruß et al [71] Tan et al…”

Section: Viticulturementioning

confidence: 99%

“…The system monitors grape variety, production and inventory information, using a map to indicate vineyards, vegetation, bare soil or nearby urban areas. Geovit [43] provides support to farmers at a landscape level ( Figure 4c) with an interactive dashboard that allows the selection and comparison of areas of interest together with multiple data layers on top of a map.…”

Section: Viticulturementioning

confidence: 99%

“…AgMine [28] • AgriAG [29] • • • AgriSuit [30] • AgroDSS [31] • AquaGIS [32] • Blauth et al [34] • Byishimo et al [35] • CAMDT [36] • • • CropGIS [37] • CropSAT [38] • DIDAS [39] • DyNoFlo Dairy [40] • Galindo et al [41] • • GeoVisage [42] • Geovit [43] • GramyaVikas [44] HydroQual [45] Li et al [46] • LMTool [47] • SmartScape [50] • VBoxReporting [51] • Vite.net [52] • ViPER [53] • Ochola et al [54] • • LandCaRe [56] • ValorE [57] • • Gandhi et al [59] • • • eFarmer [61] • FARMERS [62] •…”

Section: End-usersmentioning

confidence: 99%

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A review of visualisations in agricultural decision support systems: An HCI perspective

Gutiérrez

Htun

Schlenz³

et al. 2019

Computers and Electronics in Agriculture

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Decision Support Systems (DSSs) are used in precision agriculture to provide feedback to a variety of stakeholders, including farmers, advisers, researchers and policymakers. However, increments in the amount of data might lead to data quality issues, and as these applications scale into big, real-time monitoring systems the problem gets even more challenging. Visualisation is a powerful technique used in these systems that provides an indispensable step in assisting end-users to understand and interpret the data. In this paper, we present a systematic review to synthesise literature related to the use of visualisation techniques in the domain of agriculture. The search identified 61 eligible articles, from which we established end-users, visualisation techniques and data collection methods across different application domains. We found visualisation techniques used in various areas of agriculture, including viticulture, dairy farming, wheat production and irrigation management. Our results show that the majority of DSSs utilise maps, together with satellite imagery, as the central visualisation. Also, we observed that there is an excellent opportunity for dashboards to enable end-users with better interaction support to understand the uncertainty of data. Based on this analysis, we provide design guidelines towards the implementation of more interactive and visual DSSs.

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Section: Viticulturementioning

confidence: 99%

Section: Viticulturementioning

confidence: 99%

Section: End-usersmentioning

confidence: 99%

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A review of visualisations in agricultural decision support systems: An HCI perspective

Gutiérrez

Htun

Schlenz³

et al. 2019

Computers and Electronics in Agriculture

View full text Add to dashboard Cite

show abstract

“…Some of the most promising lines of future DSS developments include the use of the web to enable easy access to public data and enhance the capability of participatory decision-making processes [8]. Recent developments in S-DSSs occurring in other domains [32][33][34] are delivering interesting opportunities in land management and planning by combining open-access WEB-GIS systems and open-source codes. In fact, this combination provides -through the web-freely access of critical geospatial data to any end-user while the open-source approach creates strong synergies with new code development, especially those occurring in other domains.…”

Section: Forest Dss Systemsmentioning

confidence: 99%

A Geospatial Decision Support System Tool for Supporting Integrated Forest Knowledge at the Landscape Scale

Marano

Langella

Basile

et al. 2019

Forests

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Forests are part of a complex landscape mosaic and play a crucial role for people living both in rural and urbanized spaces. Recent progresses in modelling and Decision Support System (DSS) applied to the forestry sector promise to improve public participative forest management and decision-making in planning and conservation issues. However, most DSS are not open-source systems, being in many cases software designed for site-specific applications in forest ecosystems. Furthermore, some of these systems often miss challenging the integration of other land uses within the landscape matrix, which is a key issue in modern forestry planning aiming at linking recent developments in open-source Spatial-DSS systems to sectorial forest knowledge. This paper aims at demonstrating that a new type of S-DSS, developed within the Life+ project SOILCONSWEB over an open-source Geospatial Cyber-Infrastructure (GCI) platform, can provide a strategic web-based operational tool for forest resources management and multi-purpose planning. In order to perform simulation modelling, all accessible via the Web, the GCI platform supports acquisition and processing of both static and dynamic data (e.g., spatial distribution of soil and forest types, growing stock and yield), data visualization and computer on-the-fly applications. The DSS forestry tool has been applied to a forest area of 5,574 ha in the southern Apennines of Peninsular Italy, and it has been designed to address forest knowledge and management providing operational support to private forest owners and decision-makers involved in management of forest landscape at different levels. Such a geospatial S-DSS tool for supporting integrated forest knowledge at landscape represents a promising tool to implement sustainable forest management and planning. Results and output of the platform will be shown through a short selection of practical case studies.

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“…More recently, models are incorporated in decision support systems to be used for quantifying the effect of alternative farm managements [2], among many other decisions, such as landscape planning [3] and crop yield responses as affected by climatic change [4]. This, in turn, may allow for site-specific management of spatially variable soil (Agriculture 4.0).…”

Section: Introductionmentioning

confidence: 99%

Special Issue “Soil Hydrology in Agriculture”

Basile

Coppola

2019

Water

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A geospatial decision support system for supporting quality viticulture at the landscape scale

Cited by 29 publications

References 49 publications

A review of visualisations in agricultural decision support systems: An HCI perspective

A review of visualisations in agricultural decision support systems: An HCI perspective

A Geospatial Decision Support System Tool for Supporting Integrated Forest Knowledge at the Landscape Scale

Special Issue “Soil Hydrology in Agriculture”

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