About Míriam

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So far Míriam has created 8 blog entries.

Deep learning based models for grapevine phenology

The phenological evolution is a crucial aspect of grapevine growth and development. Accurate detection of phenological stages can improve vineyard management, leading to better crop yield and quality traits. However, traditional methods of phenological tracking such as on-site observations are time-consuming and labour-intensive. This work proposes a scalable data-driven method to automatically detect key phenological stages of grapevines using satellite data.

Deep learning based models for grapevine phenology2023-08-24T13:41:59+01:00

Use of artificial intelligence for the prediction of microbial diseases of grapevine and optimisation of fungicide application

Plasmopara viticola, the causal agent of downy mildew (DM), and Uncinula necator, the causal agent of powdery mildew (PM), are two of the main phytopathogenic microorganisms causing major economic losses in the primary sector, especially in the wine sector, by wilting bunches and leaves with a consequent decrease in the photosynthetic rate of the plant and in the annual yield. Currently, the most widespread methods for planning spraying are based on the 3-10 rule, which states that the first application should take place when: (i) the air temperature is greater than 10°C; (ii) shoots are equal or greater than 10 cm; and (iii) a minimum of 10 mm rainfall within 24–48 hours has occurred, or at the beginning of the bud break with periodic applications according to the manufacturer’s instructions.

Use of artificial intelligence for the prediction of microbial diseases of grapevine and optimisation of fungicide application2023-08-24T13:37:45+01:00

VITIGEOSS Business Service: Task scheduling optimization in vineyards

Agriculture plantations are complex systems whose performance critically depends on the execution of several types of tasks with precise timing and efficiency to respond to different external factors. This is particularly true for orchards like vineyards, which need to be strictly monitored and regulated, as they are sensitive to diverse types of pests, and climate conditions. In these environments, managing and optimally scheduling the available work force and resources is not trivial and is usually done by teams of senior managers based on their experience.

VITIGEOSS Business Service: Task scheduling optimization in vineyards2023-08-24T13:31:52+01:00

The VitiGEOSS project celebrates its consortium meeting and the second local stakeholders session in Italy

The VitiGEOSS project celebrated its second local stakeholders session with Italian wine producers, associations and researchers of the Campania region. The event, which took place on November 16th, was organised in the Mastroberardino facilities (Italy). 

The VitiGEOSS project celebrates its consortium meeting and the second local stakeholders session in Italy2023-05-22T07:05:53+01:00

VitiGEOSS project kicks-off!

The VitiGEOSS project has kicked off on September 2020 with the objective to develop a vineyard innovative tool based on the integration of Earth Observation services and in-field sensors to increase resolution and reliability of satellite information applied to viticulture.

VitiGEOSS project kicks-off!2023-05-22T07:06:57+01:00
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