AGRI3003 Decisions from Data in Agriculture
- 6 points
|Availability||Location||Mode||First year of offer|
|Not available in 2020||UWA (Perth)||Face to face|
- Details for undergraduate courses
- The area of knowledge for this unit is Life and Health Sciences
- Category B broadening unit for students
- Food needs to be produced more efficiently and sustainably. There are now rapid changes in the agricultural sector, particularly with developments in agricultural technology and sensors. This technology is data-driven and has the potential to significantly increase production efficiency and reduce the environmental impact from agriculture; however, the key is making good decisions from the data. In this unit, students will utilise their agricultural knowledge and skills in data science, geographic information systems (GIS) and sensors. The unit teaches students to integrate their knowledge of farming systems with technology-derived data to make decisions for improved production efficiency and profitability.
- Students are able to (1) demonstrate an understanding of how agricultural technology and sensors can be used to improve farm productivity; (2) apply agricultural principles and skills in data analysis to agricultural management decisions; (3) integrate diverse knowledge (data science, geographic information systems, sensors and agricultural systems) and apply it to problems in agriculture; and (4) apply professional skills in communication in the context of agricultural technology.
- Indicative assessments in this unit are as follows: (1) quizzes; (2) consultant report 1; and (3) consultant report 2. Further information is available in the unit outline.
Supplementary assessment is not available in this unit except in the case of a bachelor's pass degree student who has obtained a mark of 45 to 49 overall and is currently enrolled in this unit, and it is the only remaining unit that the student must pass in order to complete their course.
- Unit rules
- AGRI2201 Pasture and Livestock Systems, GEOG2201 Geographic Information Systems,
- CITS2402 Introduction to Data Science
- Contact hours
- lectures, computer labs 4 hours per week; field trips to farms and technology providers
- The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
- All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
- Books and other material wherever listed may be subject to change. Book lists relating to 'Preliminary reading', 'Recommended reading' and 'Textbooks' are, in most cases, available via the Booktopia Textbook Finder, which has the functionality to search by course code, course, ISBN and title, and may also be posted or available at the appropriate school's administrative offices. Where texts are listed in the unit description above, an asterisk (*) indicates that the book is available in paperback.