Soil management with respect to nitrogen mobilization and nutrient supply of grapevines on loess soil

AIM: Quinoa (Chenopodium quinoa) is a non-allergenic pseudocereal with a high protein content

A natural glycolipid mixture obtained from the edible mushroom dacryopinax spathularia (“glycolipids”) is known to be an effective and approved antimicrobial treatment in non-alcoholic beverages at concentrations ranging from 5 – 100 mg/l. It has found a place alongside DMDC for the provision of microbial stability in soft drinks. These properties make the natural and sustainably produced glycolipids a promising candidate for the supplementation or replacement of SO2 in different winemaking processes.

The main innovation in the VINIoT service is the joint use of two technologies that are currently used separately: vineyard monitoring using multispectral imaging and deployed terrain sensors. One part of the system is based on the development of artificial intelligence algorithms that are feed on the images of the multispectral camera and IoT sensors, high-level information on water stress, grape ripening status and the presence of diseases. In order to obtain algorithms to determine the state of ripening of the grapes and avoid losing information due to the diversity of the grape berries, it was decided to work along the first year 2020 at berry scale in the laboratory, during the second year at the cluster scale and on the last year at plot scale. Different varieties of white and red grapes were used; in the case of Galicia we worked with the white grape variety Treixadura and the red variety Mencía. During the 2020 and 2021 campaigns, multispectral images were taken in the visible and infrared range of: 1) sets of 100 grapes classifying them by means of densimetric baths, 2) individual bunches. The images taken with the laboratory analysis of the ripening stage were correlated. Technological maturity, pH, probable degree, malic acid content, tartaric acid content and parameters for assessing phenolic maturity, IPT, anthocyanin content were determined. It has been calculated for each single image the mean value of each spectral band (only taking into account the pixels of interest) and a correlation study of these values with laboratory data has been carried out. These studies are still provisional and it will be necessary to continue with them, jointly with the training of the machine learning algorithms. Processed data will allow to determine the sensitivity of the multispectral images and select bands of interest in maturation.

Dans de précédents travaux sur le zonage “GRANDE ZONAZIONE” (GZ) (“Grand Zonage”), on a traité, entre autre, de la “GRANDE FILIERA” (GF) (Grande filière) où parmi les 54 descripteurs prévus pour lire et évaluer par exemple un zonage, sont compris aussi la Communication

While most brands belong to individual enterprises, some brands belong to groups of enterprises based in a single territory. This conceptual paper examines the characteristics