Combination of RGB and Multispectral Imagery for Discrimination of Cabernet Sauvignon Grapevine Elements

Fernández, Roemi; Montes, Héctor; Salinas, Carlota; Sarria, Javier; Armada, Manuel

doi:10.3390/s130607838

Cited by 33 publications

(22 citation statements)

References 25 publications

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“…The developed on‐the‐go imaging system represents an improvement from previous work (Hill et al , Fernández et al , Diago et al ) in which robust and reliable image‐based methods were developed to quantify grapevine canopy elements. Likewise, in Hill et al () and Diago et al () the image‐derived outcome was validated against the standard PQA, but a colour background and manual image acquisition were required.…”

Section: Discussionmentioning

confidence: 99%

On‐the‐go assessment of vineyard canopy porosity, bunch and leaf exposure by image analysis

Diago

Aquino

Millán

et al. 2019

Australian Journal of Grape and Wine Research

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Background and Aims Canopy assessment of the fruiting zone can lead to more informed vineyard management decisions. A non‐destructive, image‐based system capable of operating on‐the‐go was developed to assess canopy porosity, and leaf and bunch exposure of red grape cultivars in the vineyard. Methods and Results On‐the‐go (7 km/h) night time images of a vertically shoot positioned commercial vineyard canopy were acquired with an automated red green blue imaging system, coupled to a GPS and controlled artificial lighting. The reference method was point quadrat analysis. Sound correlations between the image analysis and point quadrat analysis results for the proportion of gaps (R2 > 0.85; P < 0.001) and leaf to canopy area ratio (R2 > 0.57; P < 0.001) were obtained for both sides of the canopy. For the bunch to canopy area ratio the best relationship was found on the western side of the canopy (R2 = 0.79; P < 0.001). Also maps of the three canopy variables were built in a commercial vineyard to compare their spatial variability on the east and west sides across the whole vineyard plot. Conclusions The developed imaging system, capable of operating on‐the‐go, can yield quantitative, objective and reliable knowledge of what a grapegrower would assess by subjective, qualitative visual inspection of the grapevine canopy. The information can be used to help make better informed decisions about leaf removal, and if mapped may help to delineate zones amenable to homogeneous management. Significance of the Study The new developed computer vision system can be mounted on any vehicle, such as a tractor, all terrain vehicle and robot, for a rapid and objective monitoring of the vineyard canopy around the fruiting zone in red cultivars and vertically shoot positioned trained vines. Moreover, the maps generated could be used by a new generation of variable rate viticultural machinery to spatially optimise vineyard cultural practices.

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Section: Discussionmentioning

confidence: 99%

On‐the‐go assessment of vineyard canopy porosity, bunch and leaf exposure by image analysis

Diago

Aquino

Millán

et al. 2019

Australian Journal of Grape and Wine Research

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“…Manual ground-based and aerial manned and unmanned remote sensing measurements are being progressively implemented in modern viticulture not only in research but also in commercial vineyards to monitor plant stress and or to assess canopy and/or berry traits Grant et al, 2007;Grant, 2012;Fuentes et al, 2014;Fernández et al, 2013;Jones and Grant, 2015). These new approaches combine the use of different types of detectors and spectral wavelengths ranging from visible (red, green, blue) (RGB) and infrared thermal imaging to multispectral and tomography measurements (Leionen et al, 2006;Diago et al, 2012;Fuentes et al, 2012;Costa et al, 2013;Jones and Grant, 2015;Rustioni et al, 2014).…”

Section: Precise Plant Monitoring and Phenotypingmentioning

confidence: 99%

Modern viticulture in southern Europe: Vulnerabilities and strategies for adaptation to water scarcity

Costa

Vaz

Escalona

et al. 2016

Agricultural Water Management

170

114

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b s t r a c tWater is now considered the most important but vulnerable resource in the Mediterranean region. Nevertheless, irrigation expanded fast in the region (e.g. South Portugal and Spain) to mitigate environmental stress and to guarantee stable grape yield and quality. Sustainable wine production depends on sustainable water use in the wine's supply chain, from the vine to the bottle. Better understanding of grapevine stress physiology (e.g. water relations, temperature regulation, water use efficiency), more robust crop monitoring/phenotyping and implementation of best water management practices will help to mitigate climate effects and will enable significant water savings in the vineyard and winery. In this paper, we focused on the major vulnerabilities and opportunities of South European Mediterranean viticulture (e.g. in Portugal and Spain) and present a multi-level strategy (from plant to the consumer) to overcome region's weaknesses and support strategies for adaptation to water scarcity, promote sustainable water use and minimize the environmental impact of the sector. © 2015 Published by Elsevier B.V. The wine grape industry in south Mediterranean EuropeWorld's wine production are located in a wide geographical Q2and climatic range, often in mid-latitude regions characterized by climate variability and stressful environments, such as the Mediterranean region (Fraga et al., 2013;Lionello et al., 2014). The European Union , is the world's leader in wine production with about 50% of world's vine-growing area and about 60% of total volume of production (USDA, 2014). France, Italy, Spain, Germany and Portugal are the five leading EU wine producers and altogether they represent 90% of EU production (USDA, 2014). Spain has the largest vineyard area in the world (950,541 ha in 2014) with an increasing irrigated area (36% of the total, in 2014) (MAGRAMA, 2014) (Fig. 1). Portugal is the EU's 5th largest wine producer with a total of 6.7 Mhl in 2013 and it has a cultivated area estimated to be about 224,000 ha (IVV, 2015). In 2010, the irrigated area was estimated in 15% of the total area of vineyards (INE, 2010). However, irrigation continued expanding in the recent years in Portugal, in particular in the Alentejo region, and presently, the percentage of irrigated vines should be slightly higher and around 20%. * Corresponding author.E-mail address: miguelc@itqb.unl.pt (J.M. Costa).Mediterranean fresh water resources are under high pressure due to fast-growing population, increased water scarcity, extreme climate variability and intensive water use in agriculture, industry and tourism activities (Lange et al., 2005;Costa et al., 2007; EEA, 2012a,b; Lereboullet et al., 2013a,b;Blum, 2014). Water is now considered by EU experts as the most important but vulnerable resource in the Mediterranean region (EU-ERANETMED, 2014). In addition, climate scenarios for South Mediterranean Europe are not favourable for agriculture. The predicted lower precipitation, higher air and soil temperatures, more frequent and l...

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“…The K - means (KM) and fuzzy clustering algorithms, e.g., fuzzy K - means (FKM), have been used in a wide range of scenarios and applications, such as: digital soil pattern recognition [32], archaeology [33], indoor localization [34], discrimination of cabernet sauvignon grapevine elements [35], white blood cell segmentation [36], abnormal lung sounds diagnosis [37], intelligent sensor networks in agriculture [38], magnetic resonance image (MRI) segmentation [39,40], speaker recognition [41] and image compression by VQ [29,42,43]. …”

Section: Introductionmentioning

confidence: 99%

Accelerating Families of Fuzzy K-Means Algorithms for Vector Quantization Codebook Design

Mata

Bandeira

Neto

et al. 2016

Sensors

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The performance of signal processing systems based on vector quantization depends on codebook design. In the image compression scenario, the quality of the reconstructed images depends on the codebooks used. In this paper, alternatives are proposed for accelerating families of fuzzy K-means algorithms for codebook design. The acceleration is obtained by reducing the number of iterations of the algorithms and applying efficient nearest neighbor search techniques. Simulation results concerning image vector quantization have shown that the acceleration obtained so far does not decrease the quality of the reconstructed images. Codebook design time savings up to about 40% are obtained by the accelerated versions with respect to the original versions of the algorithms.

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Combination of RGB and Multispectral Imagery for Discrimination of Cabernet Sauvignon Grapevine Elements

Cited by 33 publications

References 25 publications

On‐the‐go assessment of vineyard canopy porosity, bunch and leaf exposure by image analysis

On‐the‐go assessment of vineyard canopy porosity, bunch and leaf exposure by image analysis

Modern viticulture in southern Europe: Vulnerabilities and strategies for adaptation to water scarcity

Accelerating Families of Fuzzy K-Means Algorithms for Vector Quantization Codebook Design

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