A segmentation algorithm for the delineation of agricultural management zones

Pedroso, Moacir; Taylor, James A.; Tisseyre, Bruno; Charnomordic, Brigitte; Guillaume, Serge

doi:10.1016/j.compag.2009.10.007

Cited by 83 publications

(61 citation statements)

References 13 publications

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“…Since the earliest studies in the 1990s, there have been significant improvements in both the spatial resolution of remotely obtained information, currently of the order of centimetres (Hall et al, 2010) and in the mathematical analyses performed with the information acquired (Pedroso et al, 2010, Paoli et al, 2007. To date, precision agriculture tools and methods have been mainly applied at the field level, and much research has highlighted the ability of high resolution data to match within field variability at this scale (Acevedo-Opazo et al, 2008a, Acevedo-Opazo et al, 2008b, and the potential benefits of its management according to the obtained zoning , Taylor, 2004, Arnó et al, 2009.…”

Section: Introductionmentioning

confidence: 99%

Are precision agriculture tools and methods relevant at the whole-vineyard scale?

et al. 2012

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Precision viticulture has been applied to date mainly at the field level, for which the ability of high resolution data to match within-field variability has been already shown. However, to be fully operational, it should also be applicable at the whole-vineyard scale. The aim of this study was to analyze whether it is possible to use precision viticulture tools to define meaningful management zones at the whole-vineyard scale. Experiments were carried out in year 2008 on 90 ha planted of cv. Tempranillo from a vineyard with a total area of 140 ha in Spain. A three-level classification was established at both scales using NDVI, elevation and soil apparent conductivity data. The agronomic significance of these classes was tested comparing the vegetative growth, yield, carbon discrimination isotopic ratio and berry quality observed at each class. The analysis of high resolution information has been proved to be relevant in order to define whole vineyard classes with agronomic implications, the spatial variability of the vineyard being structured.

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Section: Introductionmentioning

confidence: 99%

Are precision agriculture tools and methods relevant at the whole-vineyard scale?

et al. 2012

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“…2). Most of the published research has been carried out on the within-field scale in the context of the so-called "site-specific" or "precision viticulture" (Bramley and Hamilton, 2004;Bramley, 2005;Bramley et al, 2011a, b, c, d, e;Tisseyre and McBratney, 2008;Roudier et al, 2008Roudier et al, , 2011Arnó et al, 2009Arnó et al, , 2012Pedroso et al, 2010), and its median study area covered only 0.12 ha, while between-field studies covering more than 0.11 km 2 only represented a quarter of the total (Fig. 3).…”

Section: General Perspectivesmentioning

confidence: 99%

An overview of the recent approaches to terroir functional modelling, footprinting and zoning

Vaudour

Costantini²,

Jones

et al. 2015

SOIL

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Abstract. Notions of terroir and their conceptualization through agro-environmental sciences have become popular in many parts of world. Originally developed for wine, terroir now encompasses many other crops including fruits, vegetables, cheese, olive oil, coffee, cacao and other crops, linking the uniqueness and quality of both beverages and foods to the environment where they are produced, giving the consumer a sense of place. Climate, geology, geomorphology and soil are the main environmental factors which make up the terroir effect on different scales. Often considered immutable culturally, the natural components of terroir are actually a set of processes, which together create a delicate equilibrium and regulation of its effect on products in both space and time. Due to both a greater need to better understand regional-to-site variations in crop production and the growth in spatial analytic technologies, the study of terroir has shifted from a largely descriptive regional science to a more applied, technical research field. Furthermore, the explosion of spatial data availability and sensing technologies has made the within-field scale of study more valuable to the individual grower. The result has been greater adoption of these technologies but also issues associated with both the spatial and temporal scales required for practical applications, as well as the relevant approaches for data synthesis. Moreover, as soil microbial communities are known to be of vital importance for terrestrial processes by driving the major soil geochemical cycles and supporting healthy plant growth, an intensive investigation of the microbial organization and their function is also required. Our objective is to present an overview of existing data and modelling approaches for terroir functional modelling, footprinting and zoning on local and regional scales. This review will focus on two main areas of recent terroir research: (1) using new tools to unravel the biogeochemical cycles of both macro-and micronutrients, the biological and chemical signatures of terroirs (i.e. the metagenomic approach and regional fingerprinting); (2) terroir zoning on different scales: mapping terroirs and using remoteand proxy-sensing technologies to monitor soil quality and manage the crop system for better food quality.

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“…This algorithm is derived from a region-merging algorithm, and details about the algorithm can be found in [21]. A fundamental point is the way the spatial coordinates are used here.…”

Section: Real-world Case Studymentioning

confidence: 99%

Fuzzy partitions: A way to integrate expert knowledge into distance calculations

Guillaume¹,

Charnomordic

Loisel

2013

Information Sciences

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This work proposes a new pseudo-metric based on fuzzy partitions (FPs). This pseudo-metric allows for the introduction of expert knowledge into distance computations performed on numerical data and can be used in various types of statistical clustering or other applications. The knowledge is formalized by a FP, in which each fuzzy set represents a linguistic concept. The pseudo-metric is designed to respect the FP semantics. The univariate case is first studied, and the pseudo-metric behavior is discussed using synthetic experiments. Then, a multivariate version is proposed as a Minkowski-like combination of univariate distances or semi-distances. The value of the proposal is illustrated with two real-world case studies in the fields of Biology and Precision Agriculture.

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A segmentation algorithm for the delineation of agricultural management zones

Cited by 83 publications

References 13 publications

Are precision agriculture tools and methods relevant at the whole-vineyard scale?

Are precision agriculture tools and methods relevant at the whole-vineyard scale?

An overview of the recent approaches to terroir functional modelling, footprinting and zoning

Fuzzy partitions: A way to integrate expert knowledge into distance calculations

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