Test of Ground-Sensing Devices for Monitoring Canopy Vigour and Downy Mildew Presence in Vineyards: First Qualitative Results

Mazzetto, Fabrizio; Calcante, Aldo; Mena, Aira; Sacco, Pasqualina

doi:10.4081/jae.2011.31

Cited by 6 publications

(6 citation statements)

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“…These devices were proposed to monitor crop vigour variations as an alternative to the acquisition of multispectral images (Lamb et al, 2009); in particular, Drissi et al (2009) and Mazzetto et al (2009) suggested the application of the GreenSeeker to monitor vigour variations of Vitis vinifera plants in vineyards. Previous experiences were carried out by the authors in field using a mobile lab equipped with GreenSeeker sensor, in order to evaluate its efficiency in detecting the dynamic diffusion of disease incidence directly in vineyard (Mazzetto et al, 2010(Mazzetto et al, , 2011. The analysis of the obtained NDVI georeferred maps demonstrates correspondence between GreenSeeker observations and the real vine phytosanitary status, even if at a qualitative level.…”

Section: Resumen Evaluación De Sensores óPticos Para El Diagnóstico Dmentioning

confidence: 95%

Evaluation of “ground sensing” optical sensors for diagnosis of Plasmopara viticola on vines

Calcante

Mena

Mazzetto

2012

Span. j. agric. res.

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The present work considers the possible use of two commercial optical devices, the GreenSeeker RT100 and the Crop Circle, in detecting different levels of grapevine downy mildew symptoms. The analysis was conducted on vine leaves that had been picked from plants of cv. Cabernet Franc infected by Plasmopara viticola. Leaves were divided into eight homogeneous infection classes and then analyzed (on the leaves' adaxial surfaces) through the optical devices and a portable visible/near infrared (Vis/NIR) spectrophotometer used as tester. Data showed a linear relation between the percentage of symptomatic leaf area and the Normalized Difference Vegetation Index (NDVI) calculated through the optical sensors (R 2 = 0.708 for GreenSeeker; R 2 = 0.599 for Crop Circle; R 2 = 0.950 for the spectrophotometer). The regression obtained for GreenSeeker is more significant than the one obtained for Crop Circle. This fact suggests a greater capability of GreenSeeker than Crop Circle in detecting different disease levels and its possible use in diagnosis application in the vineyard. Finally, the NDVI measurements carried out through the two commercial sensors, showed lower values on abaxial surfaces than on adaxial surfaces, and a reduced range of values. Moreover, the identification of different infection classes was more difficult on the abaxial surface. This is due to both the different structure of the leaf tissue and the different symptoms of P. viticola on the abaxial and adaxial surfaces. The present work will allow, in the future, applying these optical devices to diagnosis directly in vineyards.Additional key words: Crop Circle; diagnosis of phytopathogenic fungi; GreenSeeker; NDVI; plant health status; proximal sensing. Resumen Evaluación de sensores ópticos para el diagnóstico de Plasmopara viticola en videsEl presente estudio describe la posibilidad de utilizar dos sensores ópticos comerciales, el GreenSeeker RT100 y el Crop Circle, para identificar diferentes niveles de síntomas de mildiu en vid. La experimentación ha sido realizada en hojas de vid cv. Cabernet Franc infectadas por Plasmopara viticola. Las hojas se dividieron en ocho clases homogéneas por nivel de infección y analizadas (en las caras superiores) con instrumentos ópticos y con un espectrofotómetro Vis/ NIR (visible/infrarrojo), utilizado como testigo. Los resultados muestran la presencia de una regresión lineal entre el porcentaje de superficie foliar con síntomas y el índice NVDI calculado por medio de los sensores ópticos (R 2 = 0,708 para GreenSeeker; R 2 = 0,599 para Crop Circle; R 2 = 0,950 para el espectrofotómetro). La regresión obtenida con el GreenSeeker es más significativa que la obtenida con el Crop Circle. Esto sugiere una mayor capacidad del GreenSeeker para detectar diferentes niveles de infección. Por último, las mediciones realizadas por medio de los dos sensores comerciales en el envés de las hojas mostraron valores de NVDI menores que los obtenidos en la cara superior, así como un menor rango de valores. Por lo tanto, la ide...

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Section: Resumen Evaluación De Sensores óPticos Para El Diagnóstico Dmentioning

confidence: 95%

Evaluation of “ground sensing” optical sensors for diagnosis of Plasmopara viticola on vines

Calcante

Mena

Mazzetto

2012

Span. j. agric. res.

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“…Various vehicle-based high-throughput systems have been demonstrated by earlier researchers to accurately and rapidly collect field data (Andrade-Sanchez et al, 2014;Lan et al, 2009;Mazzetto et al, 2011;Montes et al, 2011;Sui and Thomasson, 2006;Sui et al, 2012). Ground-based sensing system has been related to crop growth and lint yield.…”

Section: High-throughput Phenotyping Of Cotton In Multiple Irrigationmentioning

confidence: 99%

High‐Throughput Phenotyping of Cotton in Multiple Irrigation Environments

Sharma

Ritchie²

2015

Crop Science

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Rapid screening of plant growth provides additional phenological information for cotton (Gossypium hirsutum L.), which may then be linked to productivity analysis in breeding and agronomy. We tested automated measurements of plant height, ground cover fraction (GCF), normalized difference vegetation index (NDVI), and canopy temperature (Tc) using a ground‐based platform mounted on a research sprayer on four cotton cultivars (DP1212, DP1219, FM2484, and PHY499) grown under 10 different irrigation levels at Lubbock, TX. Measurements consistently identified all irrigation treatments throughout the season in 2012, a dry year, and the lower irrigation treatments in 2013, a wet year, as well as differences in growth habits among cultivars in both years. The coefficient of determination (r2) of each in‐season parameter had a positive correlation with lint yield during both years. Lint yield values were compared with in‐season measurements at each sampling date. All cultivars had higher correlations between in‐season measurements and lint yield in 2012 than in 2013 because of the increased rainfall in 2013. In 2012, canopy temperature had highest correlation with lint yield, followed by plant height, GCF, and NDVI. In 2013, GCF, NDVI, and plant height all had higher correlations than Tc with lint yield. All the methods showed value in determining growth and yield, but selection of methods for screening may require adaptations based on the growth environment of the study.

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“…Further yield parameters like the number of berries per vine [4] and the amount of fruit and leave pixels per image [21,22], have been evaluated image-based on a field level for practical viticulture purposes. The use of spectral sensor technologies in viticulture has been shown to provide information on vine vigor [12,13,23] and health status [11,24]. Whereas 3D approaches are mainly used for describing canopy size [14,15] and dimensions [19].…”

Section: Resultsmentioning

confidence: 99%