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.
School: Life Sciences (Pre 2022)
Credit points: 15
Subject Co-ordinator: Marisa Collins
Available to Study Abroad/Exchange Students: No
Subject year level: Year Level 2 - UG
Available as Elective: No
Learning Activities: N/A
Capstone subject: No
Subject particulars
Subject rules
Prerequisites: Admission into SBATE
Co-requisites: N/A
Incompatible subjects: AGR3FTE
Equivalent subjects: N/A
Quota Management Strategy: N/A
Quota-conditions or rules: N/A
Special conditions: N/A
Minimum credit point requirement: N/A
Assumed knowledge: N/A
Career Ready
Career-focused: No
Work-based learning: No
Self sourced or Uni sourced: N/A
Entire subject or partial subject: N/A
Total hours/days required: N/A
Location of WBL activity (region): N/A
WBL addtional requirements: N/A
Graduate capabilities & intended learning outcomes
Graduate Capabilities
Intended Learning Outcomes
Epping (Melbourne Polytechnic), 2020, Semester 1, Day
Overview
Online enrolment: No
Maximum enrolment size: N/A
Subject Instance Co-ordinator: Marisa 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 |