IM401 Introduction to Agroinformatics

DESCRIPTION

This unit analyses the use of information technology in the collection, management, and analysis of agricultural data. The unit aims to apprise students of diverse application of information technology, including artificial intelligence, eCommerce, eBusiness, decision support systems, expert system, geographic information system, information system related to agriculture. The unit also aims to provide the students an understanding of innovations and information about potential disruptive technologies in these fields.

RELEVANT COURSES

Master of Agricultural Information Management*
Master of Business Administration (Agribusiness)*
Graduate Diploma of Agribusiness*

*Core unit
Elective unit

CREDIT POINTS

10

DELIVERY MODE

On campus
Mixed mode
Online
Intensive
Extensive

PREREQUISITE OR CO-REQUISITE

Nil

UNIT LEARNING OUTCOMES

LO1 Apply underlying principles to validate agroinformatics developments

LO2 Articulate the range of agroinformatics applications occurring globally in agriculture and evaluate their productive, environmental, social, and human impact from an agricultural systems perspective

LO3 Integrate knowledge and apply skills in agroinformatics to case study and critically reflect on the outcomes

LO4 Demonstrate an advanced understanding of e-commerce and electronically enabled business

LO5 Describe and critically evaluate a range of digital applications occurring in agriculture globally, including mobile phone applications

CONTENT

  • Introduction to agroinformatics
  • Agriculture information systems
  • Farm management systems
  • Artificial Intelligence (AI) in agriculture
  • Expert systems in agriculture
  • Decision support systems for farm management
  • Database management systems and agricultural databases
  • The eLandscape, eCommerce and eBusiness
  • Mobile phone applications and “E”enabling agribusiness
  • Geographic information systems
  • Remote sensing and its application
  • Digital disruption in agriculture and digital citizenship

ASSESSMENT METHODS

  1. Quizzes – 20%
  2. Empirical and Comprehensive Study and Report – 30%
  3. Project Report and Oral Presentation – 50%

PRESCRIBED READINGS

Nil

Check with the lecturer each semester before purchasing any textbooks

DESCRIPTION

This unit analyses the use of information technology in the collection, management, and analysis of agricultural data. The unit aims to apprise students of diverse application of information technology, including artificial intelligence, eCommerce, eBusiness, decision support systems, expert system, geographic information system, information system related to agriculture. The unit also aims to provide the students an understanding of innovations and information about potential disruptive technologies in these fields.

RELEVANT COURSES

Master of Agricultural Information Management*
Master of Business Administration (Agribusiness)*
Graduate Diploma of Agribusiness*

*Core unit
Elective unit

CREDIT POINTS

10

DELIVERY MODE

On campus
Mixed mode
Online
Intensive
Extensive

PREREQUISITE OR CO-REQUISITE

Nil

UNIT LEARNING OUTCOMES

LO1 Apply underlying principles to validate agroinformatics developments

LO2 Articulate the range of agroinformatics applications occurring globally in agriculture and evaluate their productive, environmental, social, and human impact from an agricultural systems perspective

LO3 Integrate knowledge and apply skills in agroinformatics to case study and critically reflect on the outcomes

LO4 Demonstrate an advanced understanding of e-commerce and electronically enabled business

LO5 Describe and critically evaluate a range of digital applications occurring in agriculture globally, including mobile phone applications

CONTENT

  • Introduction to agroinformatics
  • Agriculture information systems
  • Farm management systems
  • Artificial Intelligence (AI) in agriculture
  • Expert systems in agriculture
  • Decision support systems for farm management
  • Database management systems and agricultural databases
  • The eLandscape, eCommerce and eBusiness
  • Mobile phone applications and “E”enabling agribusiness
  • Geographic information systems
  • Remote sensing and its application
  • Digital disruption in agriculture and digital citizenship

ASSESSMENT METHODS

  1. Quizzes – 20%
  2. Empirical and Comprehensive Study and Report – 30%
  3. Project Report and Oral Presentation – 50%

PRESCRIBED READINGS

Nil

Check with the lecturer each semester before purchasing any textbooks

DESCRIPTION

This unit analyses the use of information technology in the collection, management, and analysis of agricultural data. The unit aims to apprise students of diverse application of information technology, including artificial intelligence, eCommerce, eBusiness, decision support systems, expert system, geographic information system, information system related to agriculture. The unit also aims to provide the students an understanding of innovations and information about potential disruptive technologies in these fields.

RELEVANT COURSES

Master of Agricultural Information Management*
Master of Business Administration (Agribusiness)*
Graduate Diploma of Agribusiness*

*Core unit
Elective unit

CREDIT POINTS

10

DELIVERY MODE

On campus
Mixed mode
Online
Intensive
Extensive

PREREQUISITE OR CO-REQUISITE

Nil

UNIT LEARNING OUTCOMES

LO1 Apply underlying principles to validate agroinformatics developments

LO2 Articulate the range of agroinformatics applications occurring globally in agriculture and evaluate their productive, environmental, social, and human impact from an agricultural systems perspective

LO3 Integrate knowledge and apply skills in agroinformatics to case study and critically reflect on the outcomes

LO4 Demonstrate an advanced understanding of e-commerce and electronically enabled business

LO5 Describe and critically evaluate a range of digital applications occurring in agriculture globally, including mobile phone applications

CONTENT

  • Introduction to agroinformatics
  • Agriculture information systems
  • Farm management systems
  • Artificial Intelligence (AI) in agriculture
  • Expert systems in agriculture
  • Decision support systems for farm management
  • Database management systems and agricultural databases
  • The eLandscape, eCommerce and eBusiness
  • Mobile phone applications and “E”enabling agribusiness
  • Geographic information systems
  • Remote sensing and its application
  • Digital disruption in agriculture and digital citizenship

ASSESSMENT METHODS

  1. Quizzes – 20%
  2. Empirical and Comprehensive Study and Report – 30%
  3. Project Report and Oral Presentation – 50%

PRESCRIBED READINGS

Nil

Check with the lecturer each semester before purchasing any textbooks

DESCRIPTION

This unit analyses the use of information technology in the collection, management, and analysis of agricultural data. The unit aims to apprise students of diverse application of information technology, including artificial intelligence, eCommerce, eBusiness, decision support systems, expert system, geographic information system, information system related to agriculture. The unit also aims to provide the students an understanding of innovations and information about potential disruptive technologies in these fields.

RELEVANT COURSES

Master of Agricultural Information Management*
Master of Business Administration (Agribusiness)*
Graduate Diploma of Agribusiness*

*Core unit
Elective unit

CREDIT POINTS

10

DELIVERY MODE

On campus
Mixed mode
Online
Intensive
Extensive

PREREQUISITE OR CO-REQUISITE

Nil

UNIT LEARNING OUTCOMES

LO1 Apply underlying principles to validate agroinformatics developments

LO2 Articulate the range of agroinformatics applications occurring globally in agriculture and evaluate their productive, environmental, social, and human impact from an agricultural systems perspective

LO3 Integrate knowledge and apply skills in agroinformatics to case study and critically reflect on the outcomes

LO4 Demonstrate an advanced understanding of e-commerce and electronically enabled business

LO5 Describe and critically evaluate a range of digital applications occurring in agriculture globally, including mobile phone applications

CONTENT

  • Introduction to agroinformatics
  • Agriculture information systems
  • Farm management systems
  • Artificial Intelligence (AI) in agriculture
  • Expert systems in agriculture
  • Decision support systems for farm management
  • Database management systems and agricultural databases
  • The eLandscape, eCommerce and eBusiness
  • Mobile phone applications and “E”enabling agribusiness
  • Geographic information systems
  • Remote sensing and its application
  • Digital disruption in agriculture and digital citizenship

ASSESSMENT METHODS

  1. Quizzes – 20%
  2. Empirical and Comprehensive Study and Report – 30%
  3. Project Report and Oral Presentation – 50%

PRESCRIBED READINGS

Nil

Check with the lecturer each semester before purchasing any textbooks

DESCRIPTION

This unit analyses the use of information technology in the collection, management, and analysis of agricultural data. The unit aims to apprise students of diverse application of information technology, including artificial intelligence, eCommerce, eBusiness, decision support systems, expert system, geographic information system, information system related to agriculture. The unit also aims to provide the students an understanding of innovations and information about potential disruptive technologies in these fields.

RELEVANT COURSES

Master of Agricultural Information Management*
Master of Business Administration (Agribusiness)*
Graduate Diploma of Agribusiness*

*Core unit
Elective unit

CREDIT POINTS

10

DELIVERY MODE

On campus
Mixed mode
Online
Intensive
Extensive

PREREQUISITE OR CO-REQUISITE

Nil

UNIT LEARNING OUTCOMES

LO1 Apply underlying principles to validate agroinformatics developments

LO2 Articulate the range of agroinformatics applications occurring globally in agriculture and evaluate their productive, environmental, social, and human impact from an agricultural systems perspective

LO3 Integrate knowledge and apply skills in agroinformatics to case study and critically reflect on the outcomes

LO4 Demonstrate an advanced understanding of e-commerce and electronically enabled business

LO5 Describe and critically evaluate a range of digital applications occurring in agriculture globally, including mobile phone applications

CONTENT

  • Introduction to agroinformatics
  • Agriculture information systems
  • Farm management systems
  • Artificial Intelligence (AI) in agriculture
  • Expert systems in agriculture
  • Decision support systems for farm management
  • Database management systems and agricultural databases
  • The eLandscape, eCommerce and eBusiness
  • Mobile phone applications and “E”enabling agribusiness
  • Geographic information systems
  • Remote sensing and its application
  • Digital disruption in agriculture and digital citizenship

ASSESSMENT METHODS

  1. Quizzes – 20%
  2. Empirical and Comprehensive Study and Report – 30%
  3. Project Report and Oral Presentation – 50%

PRESCRIBED READINGS

Nil

Check with the lecturer each semester before purchasing any textbooks