The expert system supporting decision-making in the process of vegetable pests extermination during vegetation period

• Autorzy: Sojak Mariusz , Głowacki Szymon , Tulej Weronika , Bryś Andrzej , Hutsol Taras , Horetska Iryna , Stroianovska Liliia , Rozkosz Anna , Prístavka Miroslav

Identyfikatory

DOI

10.2478/agriceng-2023-0024

Warianty tytułu

PL

System ekspertowy wspomagający podejmowanie decyzji w procesie zwalczania szkodników warzyw w okresie wegetacji

• Języki publikacji: EN

Abstrakty

EN

The paper presents a computer system supporting the identification of vegetable pests during the vegetation period and the way in which it works on the example of red beet. The objective was to develop an expert system to facilitate the identification of pests and suggest an appropriate method of controlling them. Filling the database with the knowledge applying to one narrow area of knowledge turns the expert system framework into an expert system in this area of knowledge. The system consists of the expert system and the database in the form of text files, which contain additional explanations. The user of the expert system - “DSS - pest control” needs to answer the following questions: in the first stage the user selects the diagnosed vegetable, in the second stage, the user selects the symptom or symptoms on the above-ground vegetable part, in the third stage, the user selects the symptom or symptoms on the below-ground vegetable part. The designed decision support system (“DSS - pest control”) may be used by individual vegetable growers. It may also serve as an educational program, e.g. for students who want to find out more about the specific areas of knowledge as well as for scientists and researchers.

PL

Artykuł przedstawia system komputerowy wspomagający identyfikację szkodników warzyw podczas procesu wegetacji, a także sposób jego działania na przykładzie buraka czerwonego. Celem było opracowanie systemu ekspertowego ułatwiającego identyfikację szkodników oraz zaproponowanie odpowiedniej metody ich zwalczania. Wypełnienie bazy wiedzy informacjami odnoszącymi się do wąskiego obszaru wiedzy zamienia system ekspertowy w system w danej dziedzinie wiedzy. System składa się z systemu ekspertowego oraz bazy danych w postaci plików tekstowych, które zawierają dodatkowe wyjaśnienia. Użytkownik systemu ekspertowego - "DSS - zwalczanie szkodników" musi odpowiedzieć na następujące pytania: w pierwszym etapie użytkownik wybiera diagnozowane warzywo, w drugim etapie użytkownik wybiera objaw lub objawy na nadziemnej części warzywa, w trzecim etapie użytkownik wybiera objaw lub objawy na podziemnej części warzywa. Zaprojektowany system wspomagania decyzji ("DSS - zwalczanie szkodników") może być stosowany przez indywidualnych plantatorów warzyw. Może również służyć jako program edukacyjny, np. dla studentów, którzy chcą pogłębić swoją wiedzę, może być także pomocny dla naukowców i badaczy.

Słowa kluczowe

EN

decision suport; expert system; pest identification; red beet; mechanical engineering

PL

wspomaganie decyzji; system ekspertowy; identyfikacja szkodników; burak czerwony; inżynieria mechaniczna

• Wydawca: Polskie Towarzystwo Inżynierii Rolniczej
• Czasopismo: Agricultural Engineering
• Rocznik: 2023
• Tom: Vol. 27, No. 1
• Strony: 331--348
• Opis fizyczny: Bibliogr. 30 poz., rys., tab.

Twórcy

autor

Sojak Mariusz

• Institute of Mechanical Engineering, Warsaw University of Life Sciences, ul. Nowoursynowska 164, 02-787 Warszawa, Poland

• https://orcid.org/0000-0003-3459-3863

autor

Głowacki Szymon

• Institute of Mechanical Engineering, Warsaw University of Life Sciences, ul. Nowoursynowska 164, 02-787 Warszawa, Poland

• https://orcid.org/0000-0002-0373-6633

autor

Tulej Weronika

• Institute of Mechanical Engineering, Warsaw University of Life Sciences, ul. Nowoursynowska 164, 02-787 Warszawa, Poland

• https://orcid.org/0000-0003-0805-9181

autor

Bryś Andrzej

• Institute of Mechanical Engineering, Warsaw University of Life Sciences, ul. Nowoursynowska 164, 02-787 Warszawa, Poland

• https://orcid.org/0000-0002-7852-3624

autor

Hutsol Taras

• Department of Mechanics and Agroecosystems Engineering, Polissia National University, 10-008, Zhytomyr, Ukraine

• https://orcid.org/0000-0002-9086-3672

autor

Horetska Iryna

• Odesa State Agrarian University, 65-012 Odesa, Ukraine
• Innovative Program of Strategic Development of the University, European Social Fund, University of Agriculture in Krakow, 30-149 Krakow, Poland

• https://orcid.org/0000-0002-3639-9784

autor

Stroianovska Liliia

• Innovative Program of Strategic Development of the University, European Social Fund, University of Agriculture in Krakow, 30-149 Krakow, Poland
• Higher Educational Institution “Podillia State University”, 32-300 Kamianets-Podilskyi, Ukraine

• https://orcid.org/0000-0002-1797-996X

autor

Rozkosz Anna

• Metacon AB, Drottninggatan 1B, 75310 Uppsala, Sweden
• Ukrainian University in Europe - Foundation, Balicka 116, 30-149 Kraków, Poland

autor

Prístavka Miroslav

• Institute of Design and Engineering Technologies, Slovak University of Agriculture in Nitra,Slovakia

• https://orcid.org/0000-0002-7957-4765

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).