AGS540 Application of Precision Agriculture (4)

In this subject, students will be introduced to geospatial science concepts and technologies that underpin the application of precision agriculture within a variety of agricultural contexts. Students will develop a range of basic analytical and digital skills for geospatial data processing and mapping that will prepare them to design and implement a precision agriculture project relevant to a range of common agricultural enterprises. The subject is written for students with no prior knowledge in geospatial science and serves as an introductory subject for the application of precision agriculture and geospatial science to any course related to land productivity, sustainability and/or environmental management.

Availability

Micro Session 5 (74)
Online
Wagga Wagga Campus

Continuing students should consult the SAL for current offering details: AGS540. Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Subject Information

Grading System

HD/FL

Duration

One micro-session

School

School of Agricultural, Environmental and Veterinary Sciences

Enrolment Restrictions

Restricted to students enrolling in Post Graduate Courses including Articulated Sets of Courses, Graduate Certificates, Graduate Diplomas and Masters.

Learning Outcomes

Upon successful completion of this subject, students should:
  • be able to identify, describe and select geospatial technologies and methodologies used in current precision agriculture applications for a range of agricultural enterprises;
  • be able to perform and explain basic data processing for a range of data acquisition technologies used in precision agriculture (GPS and remote sensing imagery);
  • be able to use software to visualize, interpret and map geospatial data in the context of precision agriculture applications; and
  • be able to select, justify and implement methodologies suited to mapping spatial variability relevant to precision agriculture management.

Syllabus

This subject will cover the following topics:
  • Location science: Global Positioning Systems, Differential Global Positioning Systems, Spatial Reference Systems;
  • Data gathering/cleaning: Data logging, yield monitors, remote sensing, electromagnetic survey, gap filling, basic image pre-processing techniques;
  • Information handling: Geographical Information Systems, kriging, using excel to convert data for GIS outcomes;
  • Understanding and identifying variability: spatial variability, temporal variability, complexity of variability, sources of spatial and temporal variability; and
  • Applied technologies: variable rate technologies, controlled traffic, precision animal management.

The information contained in the CSU Handbook was accurate at the date of publication: June 2022. The University reserves the right to vary the information at any time without notice.

Back