For a detailed and compact overview of our program we prepared a presentation with all important information for you. In the presentation, you will find a summary of the contents, schedules and registration for AIDAHO.

Download here.

We are excited to invite you to another session of our lecture series "Digital Agriculture: Introduction" (4407-211)! This week, we are honored to welcome Prof. Dr. Jörg Dörr from the RPTU Kaiserslautern-Landau and the Fraunhofer IESE, who will give an insightful presentation on the topic "Interoperabilität landwirtschaftlicher Systeme und Agricultural Data Spaces als mögliches Lösungskonzept"

Event Details:

• Date: Wednesday, 20 November 2024
• Time: 12:15 PM - 1:45 PM
• Format: On campus, Room S09

All interested individuals from various fields and institutions are warmly encouraged to attend.

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We are excited to invite you to another session of our lecture series "Digital Agriculture: Introduction" (4407-211)! This week, we are honored to have Dr. Thilo Steckel from CLAAS as our guest lecturer, who will give an insightful presentation on the topic "Systemdenken in der Landwirtschaft".

Event Details:

• Date: Wednesday, 13 November 2024
• Time: 12:15 PM - 1:45 PM
• Format: Online via Zoom
  Join Zoom Meeting
  Meeting ID: 663 5050 2291
  Passcode: 3scvZP

All interested individuals from various fields and institutions are warmly encouraged to attend.

We are excited to offer you an engaging opportunity as part of the lecture series "Digital Agriculture: Introduction" (4407-211)! This week, we welcome guest lecturer Dietrich Kortenbruck from EXA Computing GmbH, who will present on the topic "Landwirtschaftliche Informationssysteme: Warum Maschinendatenerfassung über Telemetrie?"

Immediately following the lecture, you will have the opportunity to experience a live demonstration at the Agricultural Engineering Institute’s farm and see the presented technologies in action.

Event Details:

Date: Wednesday, 06 November 2024

Time: 12:15 PM - 1:45 PM

Location: Room S09, followed by a demonstration on-site at the Agricultural Engineering Institute

All interested parties are warmly invited to take advantage of this opportunity for learning and networking.

We're introducing a new opportunity for students interested in AI projects: the AIDAHO Tinkering Club. The club is designed to help students bring their ideas to life, connect with others for collaboration or guidance, and receive support from the AIDAHO team throughout the process. Participants also have the opportunity to use the existing AIDAHO infrastructure for their projects. Such a project can also count towards your certificate or lead to a thesis.

If you are interested in the new AIDAHO Tinkering Club and would like to find out more, you can now register and network via this link to the ILIAS course.

The club starts on October 31, 12:00 - 14:00, in HS 36.

Regular meetings take place every Friday in PC room 2 from 12:00 to 14:00.

The biostatistics unit (340c) is looking for a student for the following thesis proposal.

Topic: Comparison of novel genomic prediction methods with advanced variable selection techniques on synthetic and real datasets

Description: Genomic prediction is an essential tool in breeding of many plant and animal species. It makes it possible to predict the performance of genotypes without physically testing them, and to select the best, thereby increasing genetic gain and reducing workload. The classic genomic prediction tool is a mixed model, but other linear, non-linear and Bayesian methods can be used instead.

Language: English

More information can be found in the following proposal (see).

Contact: For more details please contact Prof. Hans-Peter Piepho (hans-peter.piepho@uni-hohenheim.de) or Maksym Hrachov (maksym.hrachov@uni-hohenheim.de).

Our modern, digitalized world generates incredible amounts of data. With all this data, the ability to draw intelligence and benefit from it is becoming increasingly important for companies. The reason: data is the key to better and faster business decisions. As a result, the demand for analytics skills on the job market is growing rapidly.

Over two days, the SAS® Analytics School introduces you to the Analytics Life Cycle - a way of working with data that covers the entire process from data preparation to analysis and deployment. Through the SAS® Skill Builder for Students platform, you have free access to SAS® software, extensive training materials, e-learning courses and documentation - even after the course to expand your analytical knowledge.

When: Annually in February, May, August and November

Where: Online

Free registration hier

Topic:
"How European and US law and regulations impacts Machine Learning (ML) applications design and Artificial Intelligence (AI) systems"

Speaker:
Dr. Francesca Hennig-Possenti
(John Deere, Chair of AI Group CEMA)

When?
Monday, 08.04.2024, 4:15 p.m.

Where?
HS Ö2

Zoom
Meeting-ID: 661 7333 8158
Kenncode: 40RXUq

Um Ihnen einen detaillierten und kompakten Überblick über unser Programm zu geben, haben wir eine Präsentation mit allen wichtigen Informationen für Sie vorbereitet. In der Präsentation finden Sie eine Zusammenfassung der Inhalte, Abläufe und die Anmeldung für AIDAHO.

Sie können das Dokument hier herunterladen.