Terroir 2020 banner
IVES 9 IVES Conference Series 9 International Terroir Conferences 9 Terroir 2020 9 History and innovation of terroir 9 Can the satellite image resolution be improved to support precision agriculture in the vineyard through vegetation indices?

Can the satellite image resolution be improved to support precision agriculture in the vineyard through vegetation indices?

Abstract

Aim: This study aims to show the application of a new methodological approach to improve the resolution of Sentinel-2A images and derived vegetation indices through the results from different vineyards. 

Methods and Results: A multiscale fully-connected Convolutional Neural Network (CNN) was constructed and applied for the pan-sharpening of Sentinel-2A images by high resolution UAS-based orthophoto. The reconstructed data was validated by independent high resolution multispectral UAS-based imagery and in-situ spectral measurements. The reconstructed Sentinel-2A images provided a temporal evaluation of plant responses to environmental factors using selected vegetation indices. The proposed methodology has been applied on different vineyards in southern Italy. Here, the outputs of CNN were compared with morpho-physiological data, both collected in-vivo and reconstructed through the retrospective analysis of vine trunk wood (tree-rings). The functional anatomical traits and isotopic signals were measured and used to derive indices such as water use efficiency. The obtained results showed a valuable agreement between the vegetation indices derived from reconstructed Sentinel-2A data and plant hydraulic traits obtained from tree-ring based reconstruction of vine eco-physiological behavior.

Conclusions: 

The multiscale CNN architecture for remote sensing imagery pan-sharpening and reconstruction can overcome the constraints in use of satellite images in precision agriculture, by creating new fused data valid for applications that could not be supported by the original Sentinel multispectral or UVS data. The validation of such an approach on different and real vineyard systems, with data collected in-vivo and through retrospective analyses on tree-ring chronologies has shown great potential to extend the approach to other woody crop systems. 

Significance and Impact of the Study: The integration between knowledge from different scientific domains represents a powerful approach to support the farmer in the field management and, at the same time, a valuable opportunity to study the plant adaptation to variable pedo-climatic conditions. This represents the base for understanding the vine adaptive capability and planning the actions for vineyard management under different climatic scenarios. Finally, emerging CNN methodologies can be implemented in DSS to support real-time monitoring of several parameters related to plant health status, to better follow plant growth in the field and evaluate its performance under changing environmental conditions.

DOI:

Publication date: March 23, 2021

Issue: Terroir 2020

Type: Video

Authors

A. Bonfante1*, A. Brook2, G. Battipaglia3, A. Erbaggio4, M. Buonanno1, E. Monaco1, C. Cirillo5, V. De Micco5

1Institute for Mediterranean Agricultural and Forest Systems -CNR-ISAFOM, National Research Council, Ercolano-NA, Italy
2Spectroscopy & Remote Sensing Laboratory, Department of Geography and Environmental Studies, University of Haifa, Mount Carmel, Israel
3Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania “L. Vanvitelli”, Caserta, Italy
4Freelance
5Department of Agricultural Sciences, University of Naples Federico II, Portici – NA, Italy

Contact the author

Keywords

Precision agriculture, satellite image resolution, CNN, grapevine hydraulics, KTB group approach

Tags

IVES Conference Series | Terroir 2020

Citation

Related articles…

The influence of terroir on the quality of wine of the Cahors A.O.C

Dans le but d’améliorer la qualité et la typicité des vins de l’Appellation d’0rigine Contrôlée CAHORS, une étude a été réalisée afin de mettre en évidence l’adéquation Cépage-Terroir- Qualité du vin.
Selon la méthodologie proposée par MORLAT et ASSELIN (1992), neuf unités terroirs ont été déterminées. Sur chacune, des parcelles de référence homogènes quant au matériel végétal Cot ou Malbec ( cépage principal de cette appellation greffé sur S04, et aux méthodes culturales, ont été suivies au niveau agronomique et œnologique (GARCIA et al., 1996).

Le terre dei Lambruschi modenesi

La superficie vitata della provincia di Modena é per circa il 70% interessata dai Lambruschi, famiglia di vitigni tipica dei territori pianeggianti emiliani. Tra questi, i più rappresentativi sono il Lambrusco di Sorbara, il Lambrusco salamino e il Lambrusco grasparossa che, unico esempio, predilige gli ambienti collinari della provincia. Nel quinquennio 2001-2005 la Provincia di Modena ed il C.R.P.V. hanno coordinato la zonazione viticola di tutto il territorio dei Lambruschi modenesi, i cui risultati hanno consentito di individuare, in ciascuna zona D.O.C., alcune Terre in cui cias.

Anthocyanins in tannat wines rapidly evolve toward unidentified red-coloured pigments

To assess the relationship between the reported low-stability of Tannat colour during wine storage and its pigment composition and evolution

Evaluation of Furmint clones in the Tokaj Wine Region

The ’Furmint’ is the most important grape variety in the Tokaj Wine Region, constituting around 65% of its vineyard area. Before the phylloxera disease many types were grown, but as selection started in the 20th century, its diversity dramatically narrowed. As a result, the cultivation of Furmint was based mainly on two heavy-cropping clones, T.85 and T.92 at the end of the ’80s. Aims of present clone research take into account that after solely quantity as target, quality emerged in the 1990’s and most recently, typicity appeared as more private estates began their own selection program.

DISCRIMINATION OF BOTRYTIS CINEREA INFECTED GRAPES USING UNTARGE-TED METABOLOMIC ANALYSIS WITH DIRECT ELECTROSPRAY IONISATION MASS SPECTROMETRY

Infection of grapes (Vitis vinifera) by Botrytis cinerea (grey mould) is a frequent occurrence in vineyards and during prolonged wet and humid conditions can lead to significant detrimental impact on yield and overall quality. Growth of B. cinerea causes oxidisation of phenolic compounds resulting in a loss of colour and formation of a suite of off-flavours and odours in wine made from excessively infected fruit. Apart from wine grapes, developing post-harvest B. cinerea infection in high-value horticultural products during storage, shipment and marketing may cause significant loss in fresh fruits, vegetables and other crops. A rapid and sensitive assessment method to detect, screen and quantify fungal infection would greatly assist viticultural growers and winemakers in determining fruit quality.