2023-2024 / AGRO0023-1

Smart farming

Duration

54h Th

Number of credits

 Master in agricultural bioengineering (120 ECTS)6 crédits 

Lecturer

Jean-François Bastin, Jérôme Bindelle, Benjamin Dumont 

Coordinator

Jean-François Bastin

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

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.

Learning outcomes of the learning unit

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

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)

Ideally in person
Possibility to virtualize part of the teaching

Recommended or required readings

Recommended and/or required readings will be progressively provided to students. They will be the subject of preparatory work for certain lectures or praticals.

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). 

Work placement(s)

None

Organisational remarks and main changes to the course

Contacts

Jerome Bindelle [jerome.bindelle@uliege.be]
Benjamin Dumont [benjamin.dumont@uliege.be]
Jean-François Bastin [jfbastin@uliege.be]

Association of one or more MOOCs