Crop Modelling for Sustainable Agriculture under Climate Change
- Beschreibung
Curious about how climate change is shaping the future of agriculture?
Join our project on crop modelling with maize using the powerful DSSAT (Decision Support System for Agrotechnology Transfer) simulation platform. You’ll analyze real data, explore the effects of climate change, and project future climate scenarios — all while gaining hands-on experience in sustainable agriculture research.You will learn how climate change affects maize production and how to simulate crop growth under various environmental conditions. Using real-world data and DSSAT, you will conduct simulations to examine how factors such as CO₂ concentration, temperature change, or drought stress (depending on your interest) influence maize growth and yield.
DSSAT is a comprehensive, Windows-based software that includes dynamic models for over 45 crops (https://dssat.net/). It integrates weather, soil, genetic, and management data to simulate crop development, growth, and yield — providing a powerful tool for exploring sustainable agricultural solutions in a changing climate.
- Beschreibung des interdisziplinären Teils des Projekts
- This project bridges two essential research fields: • Crop modelling — quantitative analysis of crop growth and management practices • Climate change impact assessment — exploring how future environmental changes influence agricultural productivity By combining these disciplines, you will develop both technical and analytical skills relevant to modern agricultural and environmental research.
- Projektzeitraum
- Wintersemester 2025/2026
- Bewerbungszeitraum
- 13. bis 27.10.2025
- Durchführung
- semesterbegleitend
- Details zu Projektzeitraum und Durchführung
Working hours are flexible and will be distributed throughout the project, adapted to students’ desired ECTS credits. The project is partially online.
- Studienfach
-
Agrarbiologie
Agrarwissenschaften
Biologie
Biologie - Lehramt
Biotechnologiy
Crop Sciences - Betreuende
- Shinhye Lee
- Institut
- Institut für Kulturpflanzenwissenschaften (340) (Pflanzenbau)
- Sprache
- deutsch
- Teilnehmendenanzahl
- min. 1, max. 3
- Arbeitsaufwand
-
ca. 180 Stunden pro Teilnehmende:r
| 6
ECTS-Punkte
Arbeitsaufwand (Stunden und ggf. ECTS) sind ungefähre Angaben. Die tatsächlich vergebenen ECTS-Punkte ergeben sich aus der tatsächlich geleisteten Arbeit.
- Für dieses Projekt ist kein Motivationsschreiben des Studierenden erforderlich
- Projektart
- empirisch
- Lernziele
-
Die Teilnehmende lernen in diesem Projekt:
By the end of the project, participants will be able to:
- Use DSSAT for crop modelling and simulation.
- Manage and analyze weather and environmental data within DSSAT.
- Project future climate scenarios and assess their impacts on crop growth.
- Develop scientific posters and presentations to effectively communicate research results.
- Anmerkungen für Studierende
- Working hours are flexible and will be adapted to your schedule and ECTS goals.
- The project includes both independent and guided research components.
- Feel free to reach out for more details or discussion before applying (shinhye.lee@uni-hohenheim.de)!
- Schlagworte
- DSSAT, maize, CO2, climate change, sustainable agriculture, Crop Modelling