Duration
Télédétection appliquée au suivi des agroécosystèmes : 9h Th
Modélisation dynamique du fonctionnement des agroécosystèmes : 18h Th
Exercices appliqués de simulation : 27h Th
Number of credits
| Master in agricultural bioengineering (120 ECTS) | 6 crédits |
Lecturer
Télédétection appliquée au suivi des agroécosystèmes : Jean-François Bastin
Modélisation dynamique du fonctionnement des agroécosystèmes : Jérôme Bindelle, Benjamin Dumont
Exercices appliqués de simulation : Jean-François Bastin, Jérôme Bindelle, Benjamin Dumont
Coordinator
Language(s) of instruction
French language
Organisation and examination
Teaching in the first semester, review in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
Télédétection appliquée au suivi des agroécosystèmes
The lecture will be divided into three main parts:
- The first component is related to the spatial aspect: learning how to interpret and use maps acquired by drone/satellite. One of the objectives will be to monitor vegetation, to learn how to calculate and interpret vegetation indices, and to define homogeneous management zones in fields.
- The second part will focus at the cropping systems scale: understanding and learning to use a crop model, using it to understand water stress and deploying it to manage nitrogen fertilization homogeneous areas (spatialization of inputs).
- The third part will focus on the interactions between animal and plant components within agro-ecosystems. Through colletive thinking and the manipulation of models, the idea is to see what are the links between grassland production and animal behaviour, and vice versa.
De facto, this course stands in the context of smart farming, with (i) considerations at the farm level (beyond the plot, which is the domain of precision farming) and (ii) in relation to the decision-making process that farmers face.
<br /><br /> See the previous tab.
Modélisation dynamique du fonctionnement des agroécosystèmes
The lecture will be divided into three main parts:
- The first component is related to the spatial aspect: learning how to interpret and use maps acquired by drone/satellite. One of the objectives will be to monitor vegetation, to learn how to calculate and interpret vegetation indices, and to define homogeneous management zones in fields.
- The second part will focus at the cropping systems scale: understanding and learning to use a crop model, using it to understand water stress and deploying it to manage nitrogen fertilization homogeneous areas (spatialization of inputs).
- The third part will focus on the interactions between animal and plant components within agro-ecosystems. Through colletive thinking and the manipulation of models, the idea is to see what are the links between grassland production and animal behaviour, and vice versa.
De facto, this course stands in the context of smart farming, with (i) considerations at the farm level (beyond the plot, which is the domain of precision farming) and (ii) in relation to the decision-making processes that farmers face.
Exercices appliqués de simulation
See the previous tab.
Learning outcomes of the learning unit
Télédétection appliquée au suivi des agroécosystèmes
Develop a system approach to a problem
Master the essential tools for agricultural engineers
Develop skills in decision support
Modélisation dynamique du fonctionnement des agroécosystèmes
Develop a system approach to a problem
Master the essential tools for agricultural engineers
Develop skills in decision support
Prerequisite knowledge and skills
Planned learning activities and teaching methods
Télédétection appliquée au suivi des agroécosystèmes
Various pedagological method will be used
- Lecture
- Practicals
- Inverse classroom (lectures at home and collective discussion)
- Collaborative construction of knowledge
- Working groups
- etc.
Modélisation dynamique du fonctionnement des agroécosystèmes
Various pedagological method will be used
- Lecture
- Practicals
- Inverse classroom (lectures at home and collective discussion)
- Collaborative construction of knowledge
- Working groups
- etc.
Mode of delivery (face to face, distance learning, hybrid learning)
Télédétection appliquée au suivi des agroécosystèmes
Ideally in person
Possibility to virtualize part of the teaching
Modélisation dynamique du fonctionnement des agroécosystèmes
Ideally in person
Possibility to virtualize part of the teaching
Recommended or required readings
Télédétection appliquée au suivi des agroécosystèmes
Recommended and/or required readings will be progressively provided to students. They will be the subject of preparatory work for certain lectures or praticals.
Modélisation dynamique du fonctionnement des agroécosystèmes
Recommended and/or required readings will be progressively provided to students. They will be the subject of preparatory work for certain lectures or praticals.
Télédétection appliquée au suivi des agroécosystèmes
Any session :
- In-person
written exam
- Remote
written work
- If evaluation in "hybrid"
preferred remote
Additional information:
Evaluation will be done on the basis of a written report. Analysed topics will vary every year.<br /><br /> Any session :
- In-person
written exam
- Remote
written work
- If evaluation in "hybrid"
preferred remote
Additional information:
Evaluation will be done on the basis of a written report. Analysed topic will vary every year.<br /><br /> Any session :
- In-person
oral exam
- Remote
oral exam AND written work
- If evaluation in "hybrid"
preferred remote
Additional information:
The evaluation was done in 2 steps, (1) by assessing a written report for each group (each group focusing on one of the three themes of the class) and (2) by assessing the oral presentation of the report (on collaborate).
Modélisation dynamique du fonctionnement des agroécosystèmes
Exam(s) in session
Any session
- In-person
written exam AND oral exam
Written work / report
Additional information:
Evaluation will be done on the basis of a written report and its presentation during the examination session. Analysed topics will vary every year.
Exercices appliqués de simulation
Exam(s) in session
Any session
- In-person
written exam AND oral exam
Written work / report
Work placement(s)
Télédétection appliquée au suivi des agroécosystèmes
None
Modélisation dynamique du fonctionnement des agroécosystèmes
None
Organizational remarks
Contacts
Télédétection appliquée au suivi des agroécosystèmes
Jerome Bindelle [jerome.bindelle@uliege.be]
Benjamin Dumont [benjamin.dumont@uliege.be]
Jean-François Bastin [jfbastin@uliege.be]
Modélisation dynamique du fonctionnement des agroécosystèmes
Jerome Bindelle [jerome.bindelle@uliege.be]
Benjamin Dumont [benjamin.dumont@uliege.be]
Jean-François Bastin [jfbastin@uliege.be]