Course code InfT6014
Credit points 3
Artificial Intelligence in Agriculture
Total Hours in Course81
Number of hours for lectures16
Number of hours for seminars and practical classes16
Independent study hours49
Date of course confirmation22.01.2014
Responsible UnitInstitute of Computer Systems and Data Science
Course developer
Datoru sistēmu un datu zinātnes institūts
Aleksandrs Gailums
Dr. oec.
Course abstract
The course is viewing the possibilities of the artificial intelligence (AI) in agriculture. The section covers the definition and historical development of AI. The course also includes two approaches of the artificial intelligence: classical AI and modern AI. The course include: the searching techniques, the expert systems and the knowledge base related to agriculture. An overview is given of the neural network, genetic algorithms and agent methods. The course covers using of robotics in the technologies of the agriculture. The precision agriculture technologies are reviewed.
Learning outcomes and their assessment
As a result of learning this course master students get:
• Knowledge about the artificial intelligence (AI) in agriculture;
• Skills to link knowledge about the artificial intelligence (AI) in agriculture with content of other courses;
• Competence to solve problems in own profession and to development professional field.
Compulsory reading
1. Brase Terry. Precision agriculture. Clifton Park, NY :Thomson Delmar Learning, 2006. 224 p. ISBN 1-4018-8105-X
2. Kevin W. . Artificial Intelligence: The Basics. Routledge, 2011.
3. Lucci S., Kopec D. . Artificial Intelligence in the 21 Century. David Pallai 2012.
4. Srinivasan A. . Handbook of precision agriculture. Principles and applications. Bringhamton, NY: Food products Press, London, 2006. 683 p.