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AGS107 Precision Agriculture and Data Handling (8)

Abstract

 In this subject you will be introduced to basic scientific experimentation, basic applied statistics and the technologies crucial to the understanding and operation of modern precision agriculture methodology within a variety of agricultural contexts.  General mathematic and computer skills will be developed and further expanded to allow you to collect, analyse, convert and present spatial data within an agricultural context. These skills and the application of precision agriculture are relevant to a range of common agricultural enterprises. The subject is written for students with no prior spatial or experimental science knowledge and serves as an introductory subject for the application of precision agriculture and spatial science to any course related to land productivity, sustainability and/or environmental management.

+ Subject Availability Modes and Location

Session 2
OnlineWagga Wagga Campus
On CampusCY O'Connor - Muresk Institute
On CampusWagga Wagga Campus
 Continuing students should consult the SAL for current offering details: AGS107 Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Subject information

One sessionHD/FLSchool of Agricultural and Wine Sciences

Assumed Knowledge

 The students are expected to have a basic understanding of mathemathics equivalent to "Mathematics" high school level.

Enrolment restrictions

 There are no restrictions to enrol in this subject

Learning Outcomes

 Upon successful completion of this subject, students should: be able to demonstrate a knowledge of ethical and scientifically sound experimental science be able to demonstrate correct use of basic statistical tools to appropriately present various forms of statistical data be able to demonstrate competency using Microsoft Excel to perform calculations, statistical analysis, and present data be able to demonstrate a knowledge of how GPS technology works and its limitations within precision agriculture be able to demonstrate an understanding of various forms of data acquisition within precision agriculture (remote sensing, yield monitoring) be able to demonstrate an appropriate use of GIS software of agriculturally significant issues ? (eg soil, weed and/or animal management)

Syllabus

 The subject will cover the following topics: Agricultural Science: Basic experimentation: basic experimental design,  basic statistics (means, medians, regression, correlations, ANOVA and least significant differences) Ethics: experimentation (use of animals, people and data presentation). Data handling: Excel usage (files, spreadsheets, pivot tables, linked formulas) Precision Agriculture: Location science:  Global Positioning Systems, Differential Global Positioning Systems, coordinate formats Data gathering:  Data logging, yield monitors, remote sensing, electromagnetic survey. Information handling: Geographical Information Systems, kriging, using excel to convert data for GIS outcomes. Applied technologies:   Variable rate technologies, controlled traffic , ?weed seeker?, precision animal management

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The information contained in the 2018 CSU Handbook was accurate at the date of publication: 13 October 2017. The University reserves the right to vary the information at any time without notice.