Simulation Modelling for Precision Agriculture
A.Y. 2019/2020
Learning objectives
To choose, implement and evaluate solutions to prepare prescription maps for fertilisation, soil amendment and weed control. The work will be carried out in the case study of the integrated laboratory "Precision agriculture".
Expected learning outcomes
To use site-specific data of soil and crop status in precision agriculture. To choose and to implement with computer tools (e.g. spreadsheets, programming languages, and statistical packages) simple algorithms to prepare prescription maps for fertilisation, soil amendment and weed control.
Lesson period: Open sessions
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Course currently not available
AGR/02 - AGRONOMY AND FIELD CROPS - University credits: 5
Lessons: 40 hours