agr2fft future farming technologies
FUTURE FARMING TECHNOLOGIES
AGR2FFT
2020
Credit points: 15
Subject outline
Agricultural activities based on scientific principles that are aided with appropriate technologies can enable considerable commercial successes and competitive advantage. Knowledge and skills in three key technological areas will be developed: (1) Sensing technology for environment, climate, plant soil and animals will be explored, including the use of telemetry, drones, global navigation satellite systems (GNSS) and geographic information systems (GIS); (2) Agricultural production modelling for assessment of productivity and benchmarking; and (3) Genetic engineering and genomic technologies that are relevant to the industry will be briefly explored. The ability to objectively assess emerging technologies for their magnitude and certainty of benefit is a key intended learning outcome. An understanding of the interrelationships between technology, performance, social, ethical, sustainability and production efficiency will be gained.
SchoolLife Sciences
Credit points15
Subject Co-ordinatorMarisa Collins
Available to Study Abroad/Exchange StudentsNo
Subject year levelYear Level 2 - UG
Available as ElectiveNo
Learning ActivitiesN/A
Capstone subjectNo
Subject particulars
Subject rules
Prerequisites Admission into SBATE
Co-requisitesN/A
Incompatible subjectsAGR3FTE
Equivalent subjectsN/A
Quota Management StrategyN/A
Quota-conditions or rulesN/A
Special conditionsN/A
Minimum credit point requirementN/A
Assumed knowledgeN/A
Career Ready
Career-focusedNo
Work-based learningNo
Self sourced or Uni sourcedN/A
Entire subject or partial subjectN/A
Total hours/days requiredN/A
Location of WBL activity (region)N/A
WBL addtional requirementsN/A
Graduate capabilities & intended learning outcomes
Graduate Capabilities
Intended Learning Outcomes
Subject options
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Epping (Melbourne Polytechnic), 2020, Semester 1, Day
Overview
Online enrolmentNo
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorMarisa Collins
Class requirements
LectureWeek: 10 - 22
Ten 2.00 hours lecture per study period on weekdays during the day from week 10 to week 22 and delivered via online.
Students can choose either the face-to-face or virtual (Online) class option.
LectureWeek: 10 - 22
Twelve 2.00 hours lecture per study period on weekdays during the day from week 10 to week 22 and delivered via online.
Unscheduled Lecture/ tutorial tasks
LectureWeek: 10 - 22
Ten 2.50 hours lecture per study period on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Students can choose either the face-to-face or virtual (Online) class option.
WorkShopWeek: 10 - 22
One 6.00 hours workshop per study period on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Workshop Modelling
WorkShopWeek: 10 - 22
One 6.00 hours workshop per study period on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Workshop Sensors 1
Assessments
| Assessment element | Category | Contribution | Hurdle | % | ILO* |
|---|---|---|---|---|---|
| Oral presentation assessing emerging technology (20 minutes,900-words equivalent) Oral presentation or podcast assessing magnitude and certainty of benefits of a selected emerging technology in an agricultural industry. | N/A | N/A | No | 20 | SILO1, SILO2 |
| Construct a sensor (900-words equivalent) Sensor technical specification. Questions on sensor principles, telemetry and sensor evaluation will be answered. | N/A | N/A | No | 20 | SILO1, SILO3 |
| Case study examining an application of future technology (1800-words) Written report describing and critically analysing an emerging technology in a selected agricultural industry, including an assessment of magnitude and certainty of benefits. | N/A | N/A | No | 40 | SILO1 |
| Modelling workshop exercise (900- word equivalent) A written practical report of exercises completed during the modelling workshop, exploring the calibration and use of predictive models for agricultural production systems | N/A | N/A | No | 20 | SILO1, SILO4 |