Prototyping the visualization of geographic and sensor data for agriculture

Kubíček, Petr; Kozel, Jiří; Štampach, Radim; Lukas, Vojtěch

doi:10.1016/j.compag.2013.07.007

Cited by 35 publications

(21 citation statements)

References 26 publications

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“…Visualization is the first part of an extensive data mining process for enhancing interpretation and understanding [31]. Examples of this synergy include a recent study which described a prototype system that supports agricultural decision-making that is enhanced through cartographic visualizations and which integrate current local environmental and agro-monitoring data with a GIS system [32], as well as a web-based system targeted to policymakers and other stakeholders with the goal of assessing the consequences of crop changes on multiple ecosystems [33].…”

Section: Precision Agriculture and Spatial Decision Support Toolsmentioning

confidence: 99%

Adoption of Web-Based Spatial Tools by Agricultural Producers: Conversations with Seven Northeastern Ontario Farmers Using the GeoVisage Decision Support System

et al. 2017

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This paper reports on the findings of a multi-site qualitative case study research project designed to document the utility and perceived usefulness of weather station and imagery data associated with the online resource GeoVisage among northeastern Ontario farmers. Interviews were conducted onsite at five participating farms (three dairy, one cash crop, and one public access fruit/vegetable) in 2014-2016, and these conversations were transcribed and returned to participants for member checking. Interview data was then entered into Atlas.ti software for the purpose of qualitative thematic analysis. Fifteen codes emerged from the data and findings center around three overarching themes: common uses of weather station data (e.g., air/soil temperature, rainfall); the use of GeoVisage Imagery data/tools (e.g., acreage calculations, remotely sensed imagery); and future recommendations for the online resource (e.g., communication, secure crop imagery, mobile access). Overall, weather station data and tools freely accessible through the GeoVisage site were viewed as representing a timely, positive, and important addition to contemporary agricultural decision-making in northeastern Ontario farming.

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Section: Precision Agriculture and Spatial Decision Support Toolsmentioning

confidence: 99%

Adoption of Web-Based Spatial Tools by Agricultural Producers: Conversations with Seven Northeastern Ontario Farmers Using the GeoVisage Decision Support System

et al. 2017

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“…In Hypothesis, the necessary level of flexibility was achieved by the unique connection of slide templates with related slide contents (see Section 2.1), which makes it possible to perform all the necessary modifications of stimuli and correct answers. The varying activities and operations [23,24] performed by research subjects may range from simple visual searches, clicking on target objects [25], and sorting of objects of a single category [26] to more elaborate operations which include optimal route planning, terrain passability investigation [27,28], and even highly complex operations, such as those involving crisis management [29][30][31], agriculture-related decision-making [32], and crime analysis [33]. The unique design of Hypothesis makes it possible to conduct not only "molecular-level" experiments, but also studies focusing on "molar behavior" [34].…”

Section: Application In the Field Of Cognitive Cartographymentioning

confidence: 99%

The Hypothesis Platform: An Online Tool for Experimental Research into Work with Maps and Behavior in Electronic Environments

Šašinka

Morong

Stachoň

2017

IJGI

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Abstract:The article presents a testing platform named Hypothesis. The software was developed primarily for the purposes of experimental research in cartography and psychological diagnostics. Hypothesis is an event-logger application which can be used for the recording of events and their real-time processing, if needed. The platform allows for the application of Computerized Adaptive Testing. The modularity of the platform makes it possible to integrate various Processing.js-based applications for creation and presentation of rich graphic material, interactive animations, and tasks involving manipulation with 3D objects. The Manager Module allows not only the administration of user accounts and tests but also serves as a data export tool. Raw data is exported from the central database in text format and then converted in the selection module into a format suitable for statistical analysis. The platform has many functions e.g., the creation and administration of tasks with real-time interaction between several participants ("multi-player function") and those where a single user completes several tests simultaneously ("multi-task function"). The platform may be useful e.g., for research in experimental economics or for studies involving collaborative tasks. In addition, connection of the platform to an eye-tracking system is also possible.

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“…Principles of geospatial data harmonization in such cases are described by Cerba et al (2012), Feiden et al (2011), Kubicek et al (2013) and Stampach et al (2015).…”

Section: Geospatial Data In Precion Farmingmentioning

confidence: 99%

Monitoring of in-Field Variability for Site Specific Crop Management Through Open Geospatial Information

Řezník

Vojtěch

Charvát

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The agricultural sector is in a unique position due to its strategic importance around the world. It is crucial for both citizens (consumers) and the economy (both regional and global), which, ideally, should ensure that the whole sector is a network of interacting organisations. It is important to develop new tools, management methods, and applications to improve the management and logistic operations of agricultural producers (farms) and agricultural service providers. From a geospatial perspective, this involves identifying cost optimization pathways, reducing transport, reducing environmental loads, and improving the energy balance, while maintaining production levels, etc. This paper describes the benefits of, and open issues arising from, the development of the Open Farm Management Information System. Emphasis is placed on descriptions of available remote sensing and other geospatial data, and their harmonization, processing, and presentation to users. At the same time, the FOODIE platform also offers a novel approach of yield potential estimations. Validation for one farm demonstrated 70% successful rate when comparing yield results at a farm counting 1'284 hectares on one hand and results of a theoretical model of yield potential on the other hand. The presented Open Farm Management Information System has already been successfully registered under Phase 8 of the Global Earth Observation System of Systems (GEOSS) Architecture Implementation Pilot in order to support the wide variety of demands that are primarily aimed at agriculture and water pollution monitoring by means of remote sensing.

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Prototyping the visualization of geographic and sensor data for agriculture

Cited by 35 publications

References 26 publications

Adoption of Web-Based Spatial Tools by Agricultural Producers: Conversations with Seven Northeastern Ontario Farmers Using the GeoVisage Decision Support System

Adoption of Web-Based Spatial Tools by Agricultural Producers: Conversations with Seven Northeastern Ontario Farmers Using the GeoVisage Decision Support System

The Hypothesis Platform: An Online Tool for Experimental Research into Work with Maps and Behavior in Electronic Environments

Monitoring of in-Field Variability for Site Specific Crop Management Through Open Geospatial Information

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