Integration of optical and analogue sensors for monitoring canopy health and vigour in precision viticulture

Mazzetto, Fabrizio; Calcante, Aldo; Mena, Aira; Vercesi, Alberto

doi:10.1007/s11119-010-9186-1

Cited by 65 publications

(41 citation statements)

References 20 publications

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“…The modern and sustainable viticulture requires strategies to improve wine quality by characterizing the variability between vineyards and between plants of the same vineyard, in the precision viticulture context (Drissi et al, 2009;Mazzetto et al, 2010;Ray-Caramés et al, 2015). Techniques and remote sensing tools can contribute to precision agriculture since they allow characterizing the spatial and temporal variability of biophysical parameters by quantifying and analyzing the electromagnetic energy reflected by the vegetation.…”

Section: Junges a H Et Almentioning

confidence: 99%

“…Images collected by orbital remote sensing allow simultaneous interpretation of spatial vegetation patterns in large areas. However, spatial resolution incompatible with the vineyard area or temporal resolution not suitable for management decisions may compromise the applicability of the images in precision viticulture (Mazzetto et al, 2010). Ground-based remote sensing has emerged as an important source of data collected in the field in real time.…”

Section: Junges a H Et Almentioning

confidence: 99%

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Normalized difference vegetation index obtained by ground-based remote sensing to characterize vine cycle in Rio Grande do Sul, Brazil

et al. 2017

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The normalized difference vegetation index (NDVI) obtained by remote sensing is widely used to monitor annual crops but few studies have investigated its use in perennial fruit crops. The aim of this study was to determine the temporal NDVI profile during grapevine cycle in vineyards established in horizontal training systems. NDVI data were obtained by the ground-based remote sensing Greenseeker in Chardonnay and Cabernet Sauvignon vineyards located in the Serra Gaúcha region, Rio Grande do Sul, Brazil, from September to June in the 2014/2015 and 2015/2016 vegetative seasons. The grapevine canopies were managed in horizontal training systems (T-trellis and Y-trellis).The results indicated that the temporal NDVI values varied during the grapevine cycle (0.33 to 0.85), reflecting the changing in vigor and biomass accumulation that resulted from the phenological stages and management practices. The temporal NDVI profiles were similar to both horizontal training systems. The NDVI values were higher throughout the cycle for Cabernet Sauvignon compared to Chardonnay indicating Cabernet Sauvignon as the cultivar with greater vegetative vigor. The NDVI obtained by ground-based remote sensing is a fast and non-destructive tool to monitor and characterize the canopy in real time, compiling into a single data several parameters related to vine development, like meteorological conditions and management practices that are difficult to be quantified together.Index terms: Vitis vinifera; Greenseeker; precision viticulture. RESUMOO índice de vegetação por diferença normalizada (NDVI), obtido por sensoriamento remoto, tem sido amplamente empregado no monitoramento de culturas agrícolas produtoras de grãos, porém poucos são os estudos em fruticultura. O objetivo deste trabalho foi caracterizar a evolução temporal do NDVI obtido por sensor remoto de superfície ao longo do ciclo de videiras em sistemas horizontais de condução do dossel vegetativo. Dados de NDVI foram obtidos com sensor remoto Greenseeker em vinhedos na região da Serra Gaúcha, Rio Grande do Sul, Brasil, de setembro a junho nas safras 2014/2015 e 2015/2016. Os vinhedos das cultivares Chardonnay e Cabernet Sauvignon eram conduzidos em sistema horizontal (latada e lira). Os resultados indicaram que houve variabilidade temporal do NDVI ao longo do ciclo (de 0,33 a 0,85), a qual refletiu as alterações no acúmulo de biomassa e vigor vegetativo decorrentes das principais etapas fenológicas e práticas de manejo. A evolução temporal do NDVI foi semelhante nos sistemas latada e lira, ambos caracterizados pela condução horizontal do dossel vegetativo. Os valores de NDVI para 'Cabernet Sauvignon' foram superiores aos de 'Chardonnay' ao longo do ciclo, independe da safra avaliada e do sistema de condução, indicando 'Cabernet Sauvignon' como a cultivar de maior vigor vegetativo. O NDVI, obtido por sensor remoto de superfície, é uma forma rápida e não destrutiva de monitoramento e caracterização do dossel vegetativo em tempo real, compilando em uma única informação o dese...

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Section: Junges a H Et Almentioning

confidence: 99%

Section: Junges a H Et Almentioning

confidence: 99%

Normalized difference vegetation index obtained by ground-based remote sensing to characterize vine cycle in Rio Grande do Sul, Brazil

et al. 2017

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“…Moreover, optical crop-sensing technology has been around for several years [20,21]. Optical cropsensing systems use light sensors to analyze in-season plant health.…”

Section: Related Workmentioning

confidence: 99%

Development and Preliminary Tests of a Crop Monitoring Mobile Lab Based on a Combined use of Optical Sensors

D’Auria¹,

Ristorto²,

Persia³

et al. 2016

Int J Comput Softw Eng

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Background: Technology is constantly evolving with respect to production agriculture. Precision farming technologies have been increasingly recognized for their potential ability for improving agricultural productivity, reducing production cost, and minimizing damage to the environment. Methods: The combined use of different sensors and the following analysis of the recorded data allowed to define an efficient technique for crop monitoring. Results: We obtained the volume reconstruction of several plants and the NDVI mapping by exploiting the proposed technique. Conclusion: Crop monitoring and yield forecasting play a major role in the agricultural context. Future work will be devoted to develop and use a customized index structure to increase the efficiency and to integrate in our knowledge base some geo referential data.

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“…This type of approach, through precision viticulture, involves the study of phenological phases, plant health and nutritional state, as well as production expectations [10]. With this characterization, an interesting support tool for the cultivation/replantation of new vineyards is provided, focusing on the increase of the quality and yield of produced grapes, leading, ultimately, to a more reliable and appreciated end product.…”

Section: Introductionmentioning

confidence: 99%

Non-invasive real-time monitoring of vineyard soils, berries and leaves with FT-NIR spectroscopy

Lopo

Santos

Páscoa

et al. 2015

BIO Web of Conferences

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Integration of optical and analogue sensors for monitoring canopy health and vigour in precision viticulture

Cited by 65 publications

References 20 publications

Normalized difference vegetation index obtained by ground-based remote sensing to characterize vine cycle in Rio Grande do Sul, Brazil

Normalized difference vegetation index obtained by ground-based remote sensing to characterize vine cycle in Rio Grande do Sul, Brazil

Development and Preliminary Tests of a Crop Monitoring Mobile Lab Based on a Combined use of Optical Sensors

Non-invasive real-time monitoring of vineyard soils, berries and leaves with FT-NIR spectroscopy

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