The following results are related to Rural Digital Europe. Are you interested to view more results? Visit OpenAIRE - Explore.
Download Results
53 research outcomes, page 1 of 6
  • publication . Book . 2018
    Open Access
    Publisher: Estonian University of Life Sciences

    Full text Book of Abstracts. 9th International Conference on Biosystems Engineering 2018, May 9–11, 2018 Tartu, Estonia. Estonian University of Life Sciences

  • publication . Article . 2020
    Open Access English
    Authors:
    Sattarov, D.S.; Vyshegurov, S.Kh.; Galeev, R.R.;
    Persistent Identifiers
    Publisher: Agronomy Research

    This paper is a summary of literature reviews concerning the diversity of medicinal plants and the results of our many years studies. It includes scientific and practical justifications of the importance of monitoring species diversity of the studied object. Results of ...

    Add to ORCID
  • publication . Article . 2021
    Open Access
    Authors:
    Kodors, S.; Lacis, G.; Sokolova, O.; Zhukovs, V.; Apeinans, I.; Bartulsons, T.;
    Persistent Identifiers

    Received: January 11th, 2021 ; Accepted: April 10th, 2021 ; Published: April 22nd, 2021 ; Correspondence: sergejs.kodors@rta.lv The goal of smart and precise horticulture is to increase yield and product quality by simultaneous reduction of pesticide application, thereb...

    Add to ORCID
  • publication . Thesis . Doctoral thesis . 2017
    Open Access
    Authors:
    Mirmajlessi, Seyed Mahyar;
    Persistent Identifiers
    Publisher: Eesti Maaülikool

    A Thesis for applying for the degree of Doctor of Philosophy in Agriculture Strawberry (Fragaria × ananassa) is a high value crop, and it is grown for its berries in many countries. Strawberry industry in Estonia has been fluctuating due to the limited selection of cult...

    Add to ORCID
  • publication . Article . 2020
    Open Access English
    Authors:
    Abdullaev, Kendje; Irmulatov, Bakkit; Komarov, Аndrei; Nugis, Edvin;
    Persistent Identifiers
    Publisher: Agraarteadus

    Saabunud / Received 13.10.2020 ; Aktsepteeritud / Accepted 14.12.2020 ; Avaldatud veebis / Published online 31.12.2020 ; Vastutav autor / Corresponding author: Edvin Nugis edvin.nugis@mail.ee The precision farming system has been used in the North of Kazakhstan where sp...

    Add to ORCID
  • Feature selection can improve predictions generated by partial least squares models. In the context of hyperspectral imaging, it can also enable the development of affordable devices with specialized applications. The feasibility of feature selection for oat leaf chloro...

  • publication . Article . 2020
    Open Access English
    Authors:
    Мatvejenko, Dmitriy; Komarov, Аndrei; Nugis, Edvin; Lekomtsev, Peter;
    Persistent Identifiers
    Publisher: Estonian Academic Agricultural Society

    Saabunud / Received 26.01.2020 ; Aktsepteeritud / Accepted 12.05.2020 ; Avaldatud veebis / Published online 12.05.2020 ; Vastutav autor / Corresponding author: Edvin Nugis e-mail: edvin.nugis@mail.ee This paper aims to present the use of various treatments for the diffe...

    Add to ORCID
  • publication . Book . 2016
    Open Access
    Publisher: Estonian University of Life Sciences

    Conference proceedings The annual international agricultural forum Agroforum Mare Balticum will be held, already for the fourth time now, in Tartu, Estonia. The conference is an important meeting point for the agricultural sector’s politicians and entrepreneurs, and res...

  • publication . Book . 2016
    Open Access
    Publisher: Estonian University of Life Sciences

    Full text Book of Abstracts. 7th International Conference on Biosystems Engineering 2016, May 12–13, 2016 Tartu, Estonia. Estonian University of Life Sciences

  • publication . Article . 2018
    Open Access English
    Authors:
    Komasilovs, V.; Zacepins, A.; Kviesis, A.; Nasirahmadi, A.; Sturm, B.;
    Persistent Identifiers
    Publisher: Agronomy Research

    Article In recent years automated image and video analyses of plants and animals have become important techniques in Pre cision Agriculture for the detection of anomalies in development. Unlikely, machine learning (i.e., artificial neural networks, support vector machin...

    Add to ORCID
53 research outcomes, page 1 of 6