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Hazaël Jones
SupAgro
29Publications
7H-index
167Citations
Publications 29
Newest
#1Corentin Leroux (SupAgro)H-Index: 3
#2Hazaël Jones (SupAgro)H-Index: 7
Last.Bruno Tisseyre (SupAgro)H-Index: 11
view all 5 authors...
The analysis and mapping of agronomic and environmental spatial data require observations to be comparable. Heterogeneous spatial datasets are those for which the observations of different datasets cannot be directly compared because they have not been collected under the same set of acquisition conditions, for instance within the same time period (if the variable of interest varies across time), with consistent sensors or under similar management practices (if the management practices impact th...
Source
#1Corentin Leroux (SupAgro)H-Index: 3
#2Hazaël Jones (SupAgro)H-Index: 7
Last.Bruno Tisseyre (SupAgro)H-Index: 11
view all 3 authors...
Source
#1Patrice Loisel (SupAgro)H-Index: 14
#2Brigitte Charnomordic (SupAgro)H-Index: 11
Last.Bruno Tisseyre (SupAgro)H-Index: 11
view all 4 authors...
The paper proposes a numerical criterion to evaluate zoning quality for a given number of classes. The originality of the criterion is to simultaneously quantify how zones are heterogeneous on the whole field under study and how neighbouring zones are similar. This approach allows comparison between maps either with different zones or different labels, which is of importance for zone delineation algorithms aiming at maximizing inter-zone variability. In addition, this study also proposes an opti...
Source
#1Corentin Leroux (SupAgro)H-Index: 3
#2Hazaël Jones (SupAgro)H-Index: 7
Last.Bruno Tisseyre (SupAgro)H-Index: 11
view all 4 authors...
Abstract Suspicious observations, or the so-called outliers, are always present, to a greater or lesser extent, in agronomical and environmental datasets. Within field yield datasets are no exception. While most filtering approaches use expert thresholds and dedicated filters to remove these defective observations, more general and unsupervised methods will be required to process a growing number of yield maps. However, by using these last approaches, outliers would be solely identified and woul...
Source
#1Corentin Leroux (SupAgro)H-Index: 3
#2Hazaël Jones (SupAgro)H-Index: 7
Last.Bruno Tisseyre (SupAgro)H-Index: 11
view all 6 authors...
Yield maps are recognized as a valuable tool with regard to managing upcoming crop production but can contain a large amount of defective data that might result in misleading decisions. These anomalies must be removed before further processing to ensure the quality of future decisions. This paper proposes a new holistic methodology to filter out defective observations likely to be present in yield datasets. The notion of spatial neighbourhood has been refined to embrace the specific characterist...
7 CitationsSource
#1Corentin LerouxH-Index: 3
#2Hazaël JonesH-Index: 7
Last.Bruno TisseyreH-Index: 11
view all 10 authors...
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 de...
2 CitationsSource
#1Corentin Leroux (SupAgro)H-Index: 3
#2Hazaël Jones (SupAgro)H-Index: 7
Last.Bruno Tisseyre (SupAgro)H-Index: 11
view all 5 authors...
Abstract The availability of combine yield monitors since the early 1990′s means that long time-series (10+ years) of yield data are now available in many arable production systems. Despite this, yield data and maps are still under-exploited and under-valued by professionals in the agricultural sector. These historical data need to be better considered and analyzed because they are the only audited means by which growers and practitioners can assess the spatio-temporal yield response within a fi...
1 CitationsSource
#1Corentin Leroux (SupAgro)H-Index: 3
#2Hazaël Jones (SupAgro)H-Index: 7
Last.Bruno Tisseyre (SupAgro)H-Index: 11
view all 4 authors...
Abstract Management zones can be defined as homogeneous regions for which specific management decisions are to be considered. The delineation of these management units is important because it enables or at least facilitate growers and practitioners performing site specific management. The delineation of management zones has essentially been performed by (i) clustering techniques or (ii) segmentation algorithms arising from the image processing domain. However, the first approach does not take in...
4 CitationsSource
#1Corentin LerouxH-Index: 3
#2Hazaël JonesH-Index: 7
Last.Bruno TisseyreH-Index: 11
view all 6 authors...
Yield maps are a powerful tool with regard to managing upcoming crop productions but can contain a large amount of defective data that might result in misleading decisions. The objective of this work is to help improve and compare yield data filtering algorithms by generating simulated datasets as if they had been acquired directly in the field. Two stages were implemented during the simulation process (i) the creation of spatially correlated datasets and (ii) the addition of known yield sources...
3 CitationsSource
#1Madalina Croitoru (University of Montpellier)H-Index: 12
#2Patrice Buche (INRA: Institut national de la recherche agronomique)H-Index: 16
Last.Rallou Thomopoulos (INRA: Institut national de la recherche agronomique)H-Index: 11
view all 8 authors...
In the aim of evaluating and improving link quality in bibliographical knowledge bases, we develop a decision support system based on partitioning semantics. The novelty of our approach consists in using symbolic values criteria for partitioning and suitable partitioning semantics. In this paper we evaluate and compare the above mentioned semantics on a real qualitative sample. This sample is issued from the catalogue of French university libraries (SUDOC), a bibliographical knowledge base maint...
1 CitationsSource
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