A preliminary approach to assessing the opportunity for site-specific crop management in a field, using yield monitor data

Pringle, M. J.; McBratney, Alex B.; Whelan, Brett; Taylor, James A.

doi:10.1016/s0308-521x(02)00005-7

Cited by 78 publications

(59 citation statements)

References 13 publications

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“…A dilemma has arisen in viticulture over variability management at regional level («terroir») and variability management at parcel level. Finally, the formulation of an Opportunity Index, along the lines proposed by McBratney et al (2000) and Pringle et al (2003) to assess the suitability of site-specif ic management, should be investigated in more detail for the particular conditions of viticulture in Spain.…”

Section: Future Directions Of Precision Viticulturementioning

confidence: 99%

Review. Precision viticulture. Research topics, challenges and opportunities in site-specific vineyard management

Arnò

Casasnovas

Dasi

et al. 2009

Span. j. agric. res.

147

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Precision Viticulture (PV) is a concept that is beginning to have an impact on the wine-growing sector. Its practical implementation is dependant on various technological developments: crop sensors and yield monitors, local and remote sensors, Global Positioning Systems (GPS), VRA (Variable-Rate Application) equipment and machinery, Geographic Information Systems (GIS) and systems for data analysis and interpretation. This paper reviews a number of research lines related to PV. These areas of research have focused on four very specific fields: 1) quantification and evaluation of within-field variability, 2) delineation of zones of differential treatment at parcel level, based on the analysis and interpretation of this variability, 3) development of Variable-Rate Technologies (VRT) and, finally, 4) evaluation of the opportunities for site-specific vineyard management. Research in these fields should allow winegrowers and enologists to know and understand why yield variability exists within the same parcel, what the causes of this variability are, how the yield and its quality are interrelated and, if spatial variability exists, whether site-specific vineyard management is justifiable on a technical and economic basis.Additional key words: grape yield maps, local and remote sensors, selective vintage, within-field variability, yield monitor, zonal management. ResumenRevisión. Viticultura de precisión. Líneas de investigación, retos y oportunidades del manejo sitio-específico en viña La Viticultura de Precisión (VP) es un concepto que empieza a tener un cierto impacto en el sector vitivinícola. Su implementación práctica está ligada al desarrollo de cierta tecnología: sensores y monitores de cosecha, sensores locales y remotos, Sistemas de Posicionamiento Global (SPG), equipos y maquinaria de aplicación variable, Sistemas de Información Geográfica (SIG) y sistemas para el análisis y la interpretación de la información. En este trabajo se ha llevado a cabo una revisión de las diferentes líneas de investigación relacionadas con la VP. Dichas áreas de investigación se han centrado en cuatro ámbitos muy concretos: 1) cuantificación y evaluación de la variabilidad intraparcelaria, 2) delimitación a nivel de parcela de zonas de tratamiento diferencial, en base al análisis y la interpretación de dicha variabilidad, 3) desarrollo de tecnologías para la actuación variable en campo (variable-rate technologies, VRT) y, finalmente, 4) evaluación de la oportunidad del manejo sitio-específico en viticultura. La investigación en estos ám-bitos debe permitir a viticultores y enólogos conocer y comprender por qué la cosecha varía dentro de una misma parcela, cúales son las causas de dicha variación, cómo están interrelacionadas la cosecha y su calidad y, ante la existencia de variabilidad espacial, si está justificado técnica y económicamente el manejo diferencial de los viñedos.Palabras clave adicionales: manejo zonal, mapas de vendimia, monitor de cosecha, sensores locales y remotos, variabilidad intraparcelaria, vendimia...

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Section: Future Directions Of Precision Viticulturementioning

confidence: 99%

Review. Precision viticulture. Research topics, challenges and opportunities in site-specific vineyard management

Arnò

Casasnovas

Dasi

et al. 2009

Span. j. agric. res.

147

View full text Add to dashboard Cite

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“…For each field, NDVI values were used to compute geo-statistical information, such as: the variogram and its related parameters (nugget effect C0, sill C1 and range r), and the trend. This information was used to compute the Opportunity Index of site specific management (O i ) introduced by Pringle et al (2003). The O i parameter provides separate measurements of magnitude of variation (CV a ) and the size of the spatial structure (S) of the within field variability (Pringle et al 2003).…”

Section: Spatial Analysis and Field Selectionmentioning

confidence: 99%

The potential of high spatial resolution information to define within-vineyard zones related to vine water status

et al. 2008

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Abstract. The goal of this study was to test the usefulness of high-spatial resolution information provided by airborne imagery and soil electrical properties to define plant water restriction zones within-vineyards. The main contribution of this is to propose a study on a large area representing the regions' vineyard diversity (different age, different varieties and different soils) located in southern France (Languedoc-Roussillon region, France). Nine non-irrigated plots were selected for this work in 2006 and 2007. In each plot, different zones were defined using the high-spatial resolution (1m 2 ) information provided by airborne imagery (Normalised Difference Vegetation Index, NDVI). Within each zone, measurements were conducted to assess: (i) vine water status (Pre-dawn Leaf Water Potential, PLWP), (ii) vine vegetative expression (vine trunk circumference and canopy area), (iii) soil electrical resistivity and, (iv) harvest quantity and quality. Large differences were observed for vegetative expression, yield and plant water status between the individual NDVI-defined zones. Significant differences were also observed for soil resistivity and vine trunk circumference, suggesting the temporal stability of the zoning and its relevance to defining vine water status zones. The NDVI zoning could not be related to the observed differences in quality, thus showing the limitations in using this approach to assess grape quality under non-irrigated conditions. The paper concludes with the approach that is currently being considered: using NDVI zones (corresponding to plant water restriction zones) in association with soil electrical resistivity and plant water status measurements to provide an assessment of the spatial variability of grape production at harvest.

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“…It allows the delineation of discrete contiguous management zones. Management in agricultural systems is dependent on both the magnitude of variation and how it is partitioned 17 . Segmentation algorithms differ from classification algorithms in that they are objectoriented (note: the term object-oriented here is used in its image analysis context, not a software engineering context).…”

Section: Learning Modulementioning

confidence: 99%

Soft computing-based decision support tools for spatial data

Guillaume

Charnomordic²,

Tisseyre

et al. 2013

IJCIS

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In many fields, due to the increasing number of automatic sensors and devices, there is an emerging need to integrate georeferenced and temporal data into decision support tools. Geographic Information Systems (GIS) and Geostatistics lack some functionalities for modelling and reasoning using georeferenced data. Soft computing techniques and software suited to these needs may be useful to implement new functionalities and use them for modelling and decision making. This work presents an open source framework designed for that purpose. It is based upon open source toolboxes, and its design is inspired by the fuzzy software capabilities developed in FisPro for ordinary non-georeferenced data. Two real world applications in Agronomy are included, and some perspectives are given to meet the challenge of using soft computing for georeferenced data.

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A preliminary approach to assessing the opportunity for site-specific crop management in a field, using yield monitor data

Cited by 78 publications

References 13 publications

Review. Precision viticulture. Research topics, challenges and opportunities in site-specific vineyard management

Review. Precision viticulture. Research topics, challenges and opportunities in site-specific vineyard management

The potential of high spatial resolution information to define within-vineyard zones related to vine water status

Soft computing-based decision support tools for spatial data

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