Nationally funded projects

Nationally funded projects: lzp-2019/1-0094 Application of deep learning and datamining for the study of plant-pathogen interaction: the case of apple and pear scab

Project duration: 01.01.2020 - 31.12.2022

Funding institution: Latvian Council of Science

Funding number: lzp-2019/1-0094

Acronym: FLPP-2019-1

RTA contract amount: 129 747 EUR

Project partners

  • Leading partner: Institute of Horticulture;
  • Cooperation partner: Rezekne Academy of Technologies, Institute of Engineering.

Project manager

Gunārs Lācis (

RTA project manager

Sergejs Kodors (

Project objectives

  • application of semantic analysis and data mining for plant-pathogen interaction data in apple/V.inaequalis and pear/V.pyrina pathosystems;
  • development and implementation of an image-based deep learning system for early identification and evaluation of apple and pear scab;
  • development of IoT-system model for apple and pear monitoring.

RTA researchers:

RTA students:

Artis Teilāns

Imants Zarembo

Pēteris Grabusts

Sergejs Kodors

Anda Abuže

Ilmārs Apeināns

Jānis Stankevičs

Vitālijs Žukovs

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