Development and implementation of an interactive Spatial Decision Support System for decision makers in Benin to evaluate agricultural land resources—Case study: AGROLAND

Laudien, Rainer; Pofagi, Mathias; Roehrig, J.

doi:10.1016/j.jag.2009.09.005

Cited by 4 publications

(2 citation statements)

References 27 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%

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%

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

“…of quality systems or the adoption of technological innovation with several purposes. Recent examples of the use of MCA in this context include several issues: the comparison of the implementation of several quality systems (ISO 9000, EuropeGAP, both or neither) for extra-EU firms that trade in Europe (Krieger, Schiefer & da Silva, 2007); the comparison of different interventions aimed to reduce pathogen risks or increase the protection of food or crop production (see, Themelin et al, 1997;Fazil et al, 2008;Mouron et al, 2010;Ruzante et al, 2010); the comparison of different food and nutrition policy options (see Gonzalez-Zapata et al, 2008 for those policies related to the reduction of obesity) and the sustainability impact assessment of food or crop production practices in a given territory or in an area (Janikowski, Kucharski & Sas-Nowosielska, 2000;De Lange et al, 2009;Siciliano, 2009;Witters et al, 2009;Laudien, Pofagi & Roehrig, 2010;Turner, Morse-Jones & Fisher, 2010).…”

Section: Setting the Problemmentioning

confidence: 99%

Recent developments in multi-criteria evaluation of regulations

Bartolini

Viaggi

2010

Quality Assurance and Safety of Crops &Amp; Foods

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Introduction Agricultural activity is affected by a wide set of regulations and prescriptions due to agricultural and non‐agricultural policies. In agricultural policy literature, growing attention is being paid to the issue of policy evaluation. Objectives The objective of this paper is to provide a literature review of the Multi‐Criteria Analysis applied in the evaluation of policy and regulations. Methodology The paper proceeds by firstly identifying the main issues of the policy evaluation process and then discussing the potential contribution of Multi‐Criteria Analysis as a decision support tool in a policy‐making context. Results Multi‐Criteria Analysis was created as a decision support tool for the selection of alternative projects when decisions are effected by trade‐offs between different criteria. However, existing applications to policy evaluations still show significant room for improvement. In particular, an improved ability to support decision‐making processes can be expected if Multi‐Criteria Analysis is included in a consistent process of monitoring and gathering of data, and both Multi‐Criteria Analysis and monitoring are developed in such a way as to provide a structured interaction with the decision maker in a participative approach. Conclusion A cautious integration of Multi‐Criteria comparison techniques and policy‐analysis concepts should be sought in order to better contribute to policy evaluation processes. Bartolini F & Viaggi D (2010). Recent developments in multi‐criteria evaluation of regulations. Quality Assurance and Safety of Crops & Foods, 2, 182–196

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A GIS-based fertilizer decision support system for farmers in Northeast China: a case study at Tong-le village

Xie

Yang

et al. 2012

Nutr Cycl Agroecosyst

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Development and implementation of an interactive Spatial Decision Support System for decision makers in Benin to evaluate agricultural land resources—Case study: AGROLAND

Cited by 4 publications

References 27 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

Recent developments in multi-criteria evaluation of regulations

A GIS-based fertilizer decision support system for farmers in Northeast China: a case study at Tong-le village

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