Bachelor of Engineering in Smart Agriculture Technologies
Program Description
The Bachelor of Agricultural Smart Technologies Engineering program at Alnoor University is a specialized academic and engineering program aimed at preparing engineers with the knowledge and skills needed to apply modern technologies in developing the agricultural sector. It integrates agricultural engineering with artificial intelligence, the Internet of Things (IoT), unmanned aerial vehicles (UAVs), agricultural robotics, remote sensing, Geographic Information Systems (GIS), and big data analytics. This contributes to increasing productivity, improving resource efficiency, and achieving sustainability and food security.
Program Objectives
- Preparing engineers specialized in smart agriculture technologies who possess a strong scientific and engineering foundation.
- Developing skills in the design and development of intelligent systems used in agricultural production.
- Training students to use artificial intelligence technologies and data analytics in managing agricultural operations.
- Developing skills in using the Internet of Things, drones, and robotics in precision agriculture.
- Enhancing students’ capabilities in managing natural resources and achieving environmental sustainability.
- Develop research, innovation, and entrepreneurship skills in agricultural technologies.
- Meeting the labor market’s needs for qualified competencies in the field of digital agriculture.
Awarded Qualification
Bachelor of Science in Smart Agriculture Engineering Technology (B.Sc.)
Qualification Level
- Level 6 of the Iraqi National Qualifications Framework (INQF), or its equivalent, in accordance with the regulations of the Ministry of Higher Education and Scientific Research.
Special Admission Requirements
Students are admitted in accordance with the instructions of the Ministry of Higher Education and Scientific Research and the approved admission regulations.
Qualification Requirements and Regulations
Requirements for the Award of the Bachelor's Degree:
- Completion of all required credit hours.
- Successful completion of all courses.
- Commitment to university regulations and instructions.
- Completion of the field training requirements, if applicable.
Recognition of Prior Learning (RPL)
Prior learning or coursework completed at recognized educational institutions may be credited in accordance with the applicable regulations and instructions of the Ministry of Higher Education and Scientific Research and Alnoor University.
Program Learning Outcomes (PLOs)
By the end of the program, graduates will be able to:
- Design and development of smart agriculture systems using modern digital technologies.
- Using sensors and the Internet of Things (IoT) to monitor soil, crops, and environmental conditions.
- Utilizing artificial intelligence and data analysis to improve agricultural production and decision-making.
- Operating and using drones in agricultural surveying, crop spraying, and field monitoring.
- Using Geographic Information Systems (GIS) and remote sensing in the management of agricultural resources.
- Design and management of smart irrigation systems, protected agriculture, and greenhouse (plastic house) farming.
- Applying the principles of agricultural sustainability and efficient management of water and energy resources.
- Preparing technical studies, working within multidisciplinary teams, and adhering to professional ethics.
Iraqi National Qualifications Framework (INQF)
| Learning Domain | Program Learning Outcomes (PLOs) |
|---|---|
| Knowledge and Understanding | Familiarity with agricultural engineering, artificial intelligence, the Internet of Things (IoT), remote sensing, geographic information systems (GIS), and agricultural robotics. |
| Skills | Design of intelligent systems, data analysis, device operation, resource management, and use of agricultural software. |
| Application | Develop smart and sustainable agricultural solutions to increase production and improve resource use efficiency. |
| Values | Commitment to sustainability, environmental protection, professional ethics, teamwork, and innovation. |
Course and Program Learning Outcomes Matrix
| Course | Knowledge | Skills | Application | Values |
|---|---|---|---|---|
| Introduction to Smart Agriculture | ✓ | ✓ | ✓ | ✓ |
| Agricultural Internet of Things | ✓ | ✓ | ✓ | ✓ |
| Artificial intelligence in agriculture | ✓ | ✓ | ✓ | ✓ |
| Unmanned aerial vehicles (UAVs) in agriculture | ✓ | ✓ | ✓ | ✓ |
| Geographic Information Systems (GIS) and Remote Sensing | ✓ | ✓ | ✓ | ✓ |
| Smart irrigation systems | ✓ | ✓ | ✓ | ✓ |
| Agricultural robots | ✓ | ✓ | ✓ | ✓ |
| Smart agricultural project management | ✓ | ✓ | ✓ | ✓ |
Professional profiles of graduates
or Graduate professional profiles
The program qualifies its graduates to work in:
- Agricultural technology companies and smart agriculture.
- Ministry of Agriculture and government agricultural departments.
- Modern irrigation system companies
- Companies that manufacture and operate agricultural drones.
- Companies in Geographic Information Systems (GIS) and Remote Sensing.
- Companies manufacturing agricultural sensors and devices.
- Food security and agricultural production companies.
- International organizations working in agricultural and environmental development.
- Agricultural research and innovation centers.
- Universities and academic institutions following the completion of postgraduate studies
Opportunities to continue studying or the possibility of pursuing postgraduate studies.
Graduates can pursue further studies in:
- Master’s degree in Agricultural Engineering.
- Master’s in Smart Agriculture.
- Master’s in Mechatronics Engineering.
- Master’s degree in Geographic Information Systems (GIS) and Remote Sensing.
- Master’s degree in Artificial Intelligence and its Agricultural Applications.
- PhD in Agricultural Engineering or related fields.
- Professional programs in Precision Agriculture, smart irrigation systems, Internet of Things (IoT), agricultural data analytics, and unmanned aerial vehicles (drones).
Examination regulations, assessment, and grading.
The program adopts the evaluation system approved by the Ministry of Higher Education and Scientific Research and Alnoor University, and includes: specifically.
- daily assessments
- term exams
- Final exams
- Laboratory reports
- Engineering projects
- Summer training and field training
- Presentations
- Commitment to academic integrity standards and policies for combating cheating and scientific plagiarism.
Graduation requirements
Requirements for the Award of the Bachelor's Degree:
- Passing all academic courses successfully
- Completion of all required credit hours
- Passing the summer training or field training according to the study plan
- Successful completion of the graduation project
- Meeting the minimum required cumulative GPA
- Adherence to all academic regulations and instructions
Completion 240 ECTS credits successfully
Academic study mode
- The duration of study is four years
- The program is based on theoretical lectures, practical laboratories, and field applications, as well as the use of sensors, drones, smart irrigation systems, geographic information systems (GIS), artificial intelligence platforms, and applied projects, thereby enhancing graduates’ readiness to work in the fields of digital agriculture and sustainable agricultural development.
Program coordinator
Program Coordinator of the Bachelor of Science in Smart Agriculture Engineering Technology Program
The program coordinator is responsible for supervising the implementation of the study plan, monitoring the achievement of learning outcomes, and ensuring program quality. They also develop curricula to keep pace with the latest advancements in smart agriculture engineering, precision agriculture, artificial intelligence, the Internet of Things, remote sensing, modern agricultural technologies, and related fields. In addition, they coordinate among faculty members and students, oversee laboratories, field applications, and practical training, and ensure compliance with academic accreditation requirements and quality assurance policies at Alnoor University.