Vine field monitoring using high resolution remote sensing images: segmentation and characterization of rows of vines

The terroir is today the most important factor of production and development in the wine sector. In a context where the commercial challenge is taking place all over the place, the distinction between traditional and “new” producing countries is not only a geographical, cultural and technical counter position but also, and above all, a legal one. Indeed, the system of standards present in the “old world” (plantation rights, production decrees, yields per hectare, etc.) which may represent, in the short term on the global market, constraints to development and product innovation must become an opportunity. But threats become opportunities, if we work, from the vine to the market, via communication, more on the elements of difference than on those of affinity.

In the past decade, there has been an increasing amount of work dedicated to understanding micro-oxygenation in wine.

Clarification or fining of wines is a technique used in wineries to eliminate unwanted wine components, which negatively affect its quality. Clarification normally involves the addition of an adsorptive material that eliminates or reduces the presence of undesirable components. The problem is that many of the fining agents used in the industry contain allergens, such as caseinates or ovalbumin.

In viticulture, climate change significantly impacts the plant’s development and the quality and characteristics of wines. These variations are often observed over short distances in a wine-growing region and are linked to local features (slope, soil, seasonal climate, etc.). The high spatial variability of climate caused by local factors is often of the same order or even higher than the temperature increase simulated by the different IPCC scenarios.

The appearance of the Phylloxera pest in the 19th century in Europe caused dramatical damages in grapevine diversity. To mitigate these losses, grapevine growers resorted to using crosses of different Vitis species, such as 110 Richter (110R) (V. berlandieri x V. rupestris), which has been invaluable for studying adaptations to stress responses in vineyards. Recently, a high quality chromosome scale assembly of 110R was released, but the available gene models were predicted without using as evidence transcriptional sequences obtained from roots, that are crucial organs in rootstock, and they may express certain genes exclusively. Therefore, we employed RNA sequencing reads of 110R roots under different stress conditions to predict new gene models in each haplotype of 110R under different stresses.