ODT - THESIS TOPIC: Anikó Éva Nyéki: Crop yield prediction


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Thesis topic proposal

Crop yield prediction

THESIS TOPIC PROPOSAL

Institute: Széchenyi István University, Győr
plant breeding and botany
Wittmann Antal Crop-, Animal- and Food Sciences Multidisciplinary Doctoral School

Thesis supervisor: Anikó Éva Nyéki
Location of studies (in Hungarian): SZE-AKMK Department of Biological Systems and Precision Technology Mosonmagyaróvár Vár square 2. building "V"
Abbreviation of location of studies: AKMK

Description of the research topic:

Crop yield prediction is one of the challenging tasks in agriculture. The prediction of crop yield is based on soil, meteorological, environmental, and crop parameters. Decision support models are broadly used to extract significant crop features for prediction. Precision agriculture focuses on monitoring (sensing technologies), management information systems, variable rate technologies, and responses to inter- and intravariability in cropping systems.

Number of students who can be accepted: 1

Deadline for application: 2024-05-31

2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).