Olivitech

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Objetives

OLIVITECH’s main objective is the optimisation of phytosanitary treatments in olive groves through the development of an early warning system for diseases that combines meteorological data, phenological data and data on the presence of the phytopathogen in the environment.

In accordance with the work plans set out in the project, the following specific objectives have been defined:

  • Determine the phenological phases of the olive tree and assess various climate change scenarios.

    The aim is to determine the onset of the different phenological phases in the selected study areas by means of field observation and by means of phenoclimatic models that quantify the cold and heat requirements that condition the breaking of dormancy and the subsequent onset of the reproductive cycle. The phenological parameter trends obtained will be evaluated to assess the impact of the various climate change scenarios predicted by the Intergovernmental Panel on Climate Change (IPCC) on olive cultivation in the two bioclimatic regions of the study area.

  • Optimise aerobiological sampling through integrated and automated technologies.

    The aim is to optimise aerobiological sampling by integrating advanced and automatic sampling technologies that allow constant and efficient monitoring of the olive grove environment, reducing time and human resources.

  • Establish predictive models for the number of fungal spores required for infection.

    The aim is to establish predictive models for the amount of fungal spores in the olive grove atmosphere necessary for infection to occur, as there is a correlation between the amount of spores present in the environment and the density of lesions on the plant one week later.

  • Develop algorithms to predict fungal attacks by integrating different data

    The aim is to develop specific algorithms for each area under study with the meteorological data recorded in the olive groves, which will allow the identification of the moments that are conducive to possible attacks by phytopathogenic fungi.

  • Develop a system for warning of possible infections.

    The aim is to develop a system for warning of possible infections by phytopathogenic fungi, in order to optimise the integral and sustainable cultivation of olive groves, which combines the data obtained from the phenological models of objective 1, the models for predicting the quantity of fungal spores in the olive grove atmosphere necessary for infection to occur obtained in objective 2 and the algorithms developed in objective 3, which allow us to identify the moments that are propitious for possible attacks by leaf spot, Cercospora leaf spot and anthracnose.

  • Optimise the number of phytosanitary treatments in olive growing.

    The aim is to optimise the number of phytosanitary treatments in olive growing, which will result in a reduction of production costs, an increase in oil quality and better environmental protection.

In this way, OLIVITECH aims to optimise the number of phytosanitary treatments in olive groves by developing an early disease alert system that combines meteorological and phenological data and the presence of the phytopathogen in the environment.