During the past decades, precision technology, robotics and machine intelligence have become increasingly important for farming systems like greenhouses, open field, and animal husbandry. Systems and control methods play a pivotal role in this. Successful and sustainable automation of farm management relies on accurate and reliable monitoring, fault detection, prediction and control.
However, these tasks are generally challenging. A key challenge is providing precise and robust and reliable operation under great variability between and within systems, for example in weather patterns, crop response, soil properties, crop properties, occlusion by leaves, and disease occurrence. Another challenge is formed by great system complexity, comprising physics and biology, large numbers of processes and processes that take place on vastly different time scales. Yet another challenge is to monitor processes for which the variables of interest cannot be measured directly or accurately, such as food quality aspects.
A key opportunity is formed by the combination of control methods and learning methods that employ real-time data streams. Particular areas that have seen substantial development over the past decades are:
• Control systems that anticipate future events such as weather and market prices
• Controllers that deal with complex networked systems
• Controllers that learn from live data streams • Controllers that deal with stochastic uncertainty
• Robotic systems that navigate and apply input autonomously
• Automated systems that monitor and control food quality before and after harvest
This Summer School presents the state-of-the-art methods for the above mentioned methods for various farming applications such as irrigation scheduling, food processing, greenhouse management, and plant harvesting and inspection. The course will consist of lectures from worldwide experts, and hands-on practicals with real life examples.
Target Group | PhD candidates or junior researchers |
Course duration | 5 days |
Language of instruction | English |
Number of credits | 1. 5 ECTS |
Prior knowledge | Participants should have knowledge of robotics, sensing and control |
Location | Hotel de Bosrand, Ede |
Sunday 16 June | |
16:00 – 17:00 | Registration and welcome |
17:00 – 17:30 | Introduction to the course and set-up |
17:30 – 18:30 | Ice-Breaker Drinks |
18:30 – 19:30 | Dinner |
19:30 – 21:00 | Poster carousel |
Monday 17 June | |
8:30 – 12:30 | Lecture James Taylor, discussion and exercises/hands-on practicum |
12:30 – 13:30 | Lunch |
13:30 – 16:00 | Forming of groups and formulation of million dollar problem per group |
16:00 – 17:00 | Lecture Meichen Guo and discussion |
17:00 – 18:30 | Free time |
18:30 – 20:00 | Dinner |
Tuesday 18 June | |
8:30 – 12:30 | Lecture Koty McAllister, discussion and exercises/hands on practicum |
12:30 – 13:30 | Lunch |
13:30 – 16:00 | Group work on million dollar questions |
16:00 – 17:00 | Lecture Congcong Sun |
17:00 – 18:30 | Free time |
18:30 – 20:00 | Dinner |
Wednesday 19 June | |
8:30 – 12:30 | Lecture Abeje Mersha, discussion and exercises/hands on practicum |
12:30 – 13:30 | Lunch |
13:30 – 16:00 | Group work on million dollar questions |
16:00 – 17:00 | Lecture Gert Kootstra |
17:00 – 18:30 | Free time |
18:30 – 20:00 | Dinner |
Thursday 20 June | |
8:30 – 12:30 | Lecture Raphael Linker, discussion and exercises/hands on practicum |
12:30 – 13:30 | Lunch |
13:30 – 17:00 | Group work on million dollar questions |
17:00 – 18:30 | Free time |
18:30 – 19:30 | Dinner |
Friday 21 June | |
8:30 – 12:00 | Synthesis of group work |
12:00 – 13:00 | Lunch |
13:00 – 15:00 | Tour campus (optional) or goodbye |
15:00 – 17:00 | Drinks in Orion |
Information on the fees can be found by the registration form.
Early bird deadline is 21-04-2024
Claudius van de Vijver (PE&RC)
Email: claudius.vandevijver@wur.nl