DIGITAL TECHNOLOGIES IN AGRICULTURE
AGR3DTA
2021
Credit points: 15
Subject outline
Digital technologies used in agricultural and rural enterprises that are used globally, will be explored with relevant industry examples. These will include the use of field sensors, telemetry, global navigation satellite systems (GNSS) and geographical information systems (GIS), in the collection, management and analysis of proximal and remotely sensed data. The use of agricultural production simulation models as predictive and decision-support tools will also be explored. An understanding of the role of digital technologies in facilitating enhanced agricultural production efficiency, and environmental and social sustainability will be developed.
SchoolLife Sciences
Credit points15
Subject Co-ordinatorPenelope Smith
Available to Study Abroad/Exchange StudentsNo
Subject year levelYear Level 3 - UG
Available as ElectiveNo
Learning ActivitiesLectures, Self-scheduled lectures, flipped classroom, workshops and field exercises
Capstone subjectYes
Subject particulars
Subject rules
PrerequisitesN/A
Co-requisitesN/A
Incompatible subjectsAGR2FFT
Equivalent subjectsAGR3FTE
Quota Management StrategyN/A
Quota-conditions or rulesN/A
Special conditionsStudents must be enrolled by the end of the first week of semester; no new enrolments can be processed from the beginning of the second week of semester.
Minimum credit point requirementN/A
Assumed knowledgeN/A
Learning resources
Practical applications of a multisensor UAV platform based on multispectral, thermal and RGB high resolution images in precision viticulture
Resource TypeJournal article
Resource RequirementRecommended
AuthorMatese, A and Di Gennaro, SF
Year2018
Edition/VolumeAgriculture 8(7), 116
PublisherN/A
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLhttps://doi.org/10.3390/agriculture8070116
Other descriptionN/A
Source locationN/A
The Application of EM38: Determination of Soil Parameters, Selection of Soil Sampling Points and Use in Agriculture and Archaeology
Resource TypeJournal article
Resource RequirementRecommended
AuthorHeil, K and Scmidhalter, U
Year2017
Edition/VolumeSensors 17,2540
PublisherN/A
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLhttps://www.mdpi.com/1424-8220/17/11/2540
Other descriptionN/A
Source locationN/A
Normalized Difference Vegetation Index (NDVI) and its role in Agriculture
Resource TypeJournal article
Resource RequirementRecommended
AuthorJena, J, Misra, SR, Tripathi, KP
Year2019
Edition/VolumeAgriculture and Food 1 (2): 2581-8317
PublisherN/A
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Satellite and proximal sensing to estimate the yield and quality of table grapes
Resource TypeJournal article
Resource RequirementRecommended
AuthorAnastasiou, E, Balafoutis, A, Darra, N, Psiroukis, V, Biniari, A, Xanthopoulos, G and Fountas, S
Year2018
Edition/VolumeAgriculture 8(7), 94
PublisherN/A
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Green RFID Systems
Resource TypeBook
Resource RequirementRecommended
AuthorGaydon, DS
Year2014
Edition/VolumeN/A
PublisherN/A
ISBNN/A
Chapter/article titleSAARC Agriculture Centre, SAC Monograph: Chapter 2 in The SAARC-Australia project-developing capacity in cropping systems modelling for South Asia, eds. Gaydon, Saiyed and Roth
Chapter/issue2
URLhttps://www.researchgate.net/publication/263238329_The_APSIM_Model_-_An_Overview
Other descriptionN/A
Source locationN/A
Contribution of Remote Sensing on Crop Models: A Review
Resource TypeJournal article
Resource RequirementRecommended
AuthorKasampalis, DA, Alexandridis, TK, Deva, C, Challinor, A, Moshou, D and Zalidis G
Year2018
Edition/VolumeJournal of Imaging 4(4): 52
PublisherN/A
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLhttps://doi.org/10.3390/jimaging4040052
Other descriptionN/A
Source locationN/A
Career Ready
Career-focusedYes
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
Select to view your study options…
Epping (Melbourne Polytechnic), 2021, Semester 1, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorPenelope Smith
Class requirements
LectureWeek: 10 - 22
One 2.00 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
PracticalWeek: 10 - 22
Two 4.00 hours practical per study period on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
WorkShopWeek: 10 - 22
One 1.00 hour workshop per study period on weekdays during the day from week 10 to week 22.
WorkShopWeek: 10 - 22
Two 6.00 hours workshop per study period on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Category | Contribution | Hurdle | % | ILO* |
|---|---|---|---|---|---|
Sensing workshop report (1125 words) | Report | Individual | No | 25 | SILO1, SILO2 |
Precision agriculture workshop report (2250 words) | Report | Individual | No | 50 | SILO1, SILO2, SILO3 |
Modelling workshop exercise (1125 words) | Assignment | Individual | No | 25 | SILO1, SILO4 |