Vertical Farming based expert systems for nutrient and water management

Updated: about 1 hour ago
Location: Mount Lawley, WESTERN AUSTRALIA
Deadline: ;

Project Outline:

This project will examine how expert based systems can be used to better manage fertiliser and irrigation regimes for a variety of crops grown in a vertical farming based systems.

The project will investigate techniques for monitoring and assessing crop status and use machine learning based techniques to develop optimized model for management of different crops.

The project will use a variety of methods to assess crop production through machine vision/image processing and analysis of plant growth under different environmental conditions.

Desired Skills:

  1. Skills in Database Programming, and Artificial Intelligent systems and Advanced Computer Programming.  Essential
  2. R and other languages Desirable
  3. Skills in Computer Hardware and sensors  Desirable
  4. Experience in Plant Science, Agriculture/Horticulture an advantage Desirable
  5. Good oral and report writing skills (Essential)
  6. Able to work in team environment  (Essential)
  7. Good project management skills (Essential)

Project Area: Computing and Agriculture (Digital Agriculture Research Group)

Supervisor(s): Dr Leisa Armstrong, Dr David Cook

Project level: Honours, Masters, PhD

Funding: Applicant should apply for ECUHDR or RTP Scholarship

Start date: Semester 1 2021

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