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Agriculture 2018, 8(6), 73; https://doi.org/10.3390/agriculture8060073

GeoFIS: An Open Source, Decision-Support Tool for Precision Agriculture Data

1
ITAP (Information–Technologies-environmental Analysis-agricultural Processes, French denomination), Montpellier SupAgro, Irstea, University of Montpellier, 34000 Montpellier, France
2
SMAG, 34960 Montpellier, France
3
Compagnie Fruitière, 13000 Marseille, France
*
Author to whom correspondence should be addressed.
Received: 25 April 2018 / Revised: 23 May 2018 / Accepted: 28 May 2018 / Published: 30 May 2018
(This article belongs to the Special Issue Precision Agriculture)
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Abstract

The world we live in is an increasingly spatial and temporal data-rich environment, and agriculture is no exception. However, data needs to be processed in order to first get information and then make informed management decisions. The concepts of ‘Precision Agriculture’ and ‘Smart Agriculture’ are and will be fully effective when methods and tools are available to practitioners to support this transformation. An open-source software called GeoFIS has been designed with this objective. It was designed to cover the whole process from spatial data to spatial information and decision support. The purpose of this paper is to evaluate the abilities of GeoFIS along with its embedded algorithms to address the main features required by farmers, advisors, or spatial analysts when dealing with precision agriculture data. Three case studies are investigated in the paper: (i) mapping of the spatial variability in the data, (ii) evaluation and cross-comparison of the opportunity for site-specific management in multiple fields, and (iii) delineation of within-field zones for variable-rate applications when these latter are considered opportune. These case studies were applied to three contrasting crop types, banana, wheat and vineyards. These were chosen to highlight the diversity of applications and data characteristics that might be handled with GeoFIS. For each case-study, up-to-date algorithms arising from research studies and implemented in GeoFIS were used to process these precision agriculture data. Areas for future development and possible relations with existing geographic information systems (GIS) software is also discussed. View Full-Text
Keywords: decision-making; GeoFIS; geostatistics; open source software; precision agriculture; spatial analysis decision-making; GeoFIS; geostatistics; open source software; precision agriculture; spatial analysis
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Leroux, C.; Jones, H.; Pichon, L.; Guillaume, S.; Lamour, J.; Taylor, J.; Naud, O.; Crestey, T.; Lablee, J.-L.; Tisseyre, B. GeoFIS: An Open Source, Decision-Support Tool for Precision Agriculture Data. Agriculture 2018, 8, 73.

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