SENSING WATER, WINE AND PLANTS
Credit points: 15
In this subject, students will develop in depth knowledge of a suite of sensors that are used in monitoring soil, micro-climate, plant/vine based monitoring systems and wineries. Students will develop skills in how to use data to inform practice change. Data acquired from sensor networks resources that are used as part of the critical zone observatory will be utilised in this subject to support the provenance of the product, drive increases in efficiency (crop and vineyard) and understand how this might generate greater profitability. By the completion of this subject, students will be able to analyse data to determine outcomes and seek efficiencies in an integrated food supply chain.
SchoolSchool of Life Sciences
Subject Co-ordinatorPenelope Smith
Available to Study Abroad StudentsNo
Subject year levelYear Level 2 - UG
Prerequisites AGR1AST and must be admitted into SBATE.
Graduate capabilities & intended learning outcomes
01. Describe and explain the impact of digital technology or practice change in horticulture, agronomy, viticulture or wine making enterprises.
- Lectures, tutorials and workshops in the field will be used to explore the theory of this technology with its uses and how it can improve practice.
02. Describe and evaluate a range of current sensor technologies
- Combining content from lectures, scientific and industry literature students will learn the how sensor technology works.
03. Use an evidence-based practice approach to make accurate observations and develop reasonable inferences to effect changes in practice using data handling and processing.
- Students will use sensor networks resources to collect data and practice data analysis. Students will integrate data analysed from sensor networks resources to report on how practice operations may change.
04. Explain the terminology, Occupational Health and Safety implications and ethical, legal and governance principles pertaining to sensing technologies.
- Group case studies, lectures and presentations will be used for students gain a deeper understanding of the topics.
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Epping, 2018, Semester 1, Blended
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorPenelope Smith
Two 1.0 days workshop per study period on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
One 1.0 hours workshop per week on weekdays during the day from week 10 to week 22 and delivered via online.
|1 x 20-min group presentation (500 words/student)||20||01, 04|
|Oral presentation d demonstration of Data Analysis of System (1000 words)||20||01, 03, 04|
|Case study evaluation (2000 words)||30||01, 02, 03, 04|
|Tutorial Assessments (3 Problem solving tasks in class, 250 words each, 750 words )||30||01, 02, 03, 04|