Program Description
This diploma aims to provide trainees with specialized knowledge and skills in the field of digital transformation in hydroponic agriculture and artificial intelligence applications. The program covers modern hydroponic farming methods and technologies, smart monitoring and control systems, the Internet of Things (IoT), the collection and analysis of agricultural data, and the application of artificial intelligence technologies to improve productivity and crop quality and enhance the efficiency of water and nutrient use. This contributes to preparing qualified professionals capable of contributing to the development of smart and sustainable agricultural systems.
Program Objectives
By the end of the program, trainees will be able to:
- Understand the principles of hydroponic agriculture and its major modern systems and technologies.
- Recognize the concepts of digital transformation and their applications in the agricultural sector.
- Employ Internet of Things (IoT) technologies and sensors to monitor hydroponic systems.
- Collect, manage, and analyze agricultural data using modern digital tools.
- Use artificial intelligence technologies to analyze data and predict agricultural performance.
- Design and implement smart systems for monitoring and controlling the agricultural environment.
- Improve the management of water, nutrients, and environmental conditions using digital solutions.
- Utilize intelligent models to detect and predict agricultural problems and support decision-making.
- Apply cybersecurity and data protection principles in digital agricultural systems.
- Develop practical solutions and projects that support sustainability and efficiency in hydroponic agriculture.
Program Modules
- Introduction to hydroponic agriculture, its principles, and modern systems.
- Hydroponic systems and technologies and crop management.
- Digital transformation and its applications in the agricultural sector.
- The Internet of Things (IoT) and sensors in hydroponic agriculture.
- Collection, storage, and management of agricultural data.
- Agricultural data analysis and the use of digital indicators.
- Introduction to artificial intelligence and its applications in agriculture.
- Machine learning and the prediction of agricultural production and needs.
- Smart monitoring and control systems in agricultural environments.
- Water and nutrient management using smart technologies.
- Detection of agricultural problems and plant stress based on data and artificial intelligence.
- Cybersecurity and data protection in smart agricultural systems.
- Practical applications, case studies, and projects in smart hydroponic agriculture.
Training Methodology
- Scientific and applied lectures.
- Interactive workshops.
- Practical training on smart hydroponic agriculture technologies and tools.
- Practical applications in agricultural data collection and analysis.
- Training on the use of digital monitoring and control systems.
- Analysis of real-world case studies and projects.
- Applications of artificial intelligence in supporting agricultural decision-making.
- Scientific discussions under the supervision of specialists.
Target Audience
- Engineers, agricultural engineers, and hydroponic agriculture specialists.
- Professionals working in modern agriculture projects and protected agricultural environments.
- Graduates of agriculture, engineering, information technology, data science, environmental sciences, and related disciplines.
- Professionals working in agricultural technology companies and smart systems.
- Entrepreneurs and investors in hydroponic and smart agriculture projects.
- Individuals interested in digital transformation and artificial intelligence applications in the agricultural sector.
- Individuals seeking to develop their knowledge and skills in smart hydroponic agriculture.
Career Opportunities
- Smart Hydroponic Agriculture Specialist or Supervisor.
- Digital Agricultural Technology Specialist.
- Agricultural Data Analyst.
- Agricultural Monitoring and Control Systems Supervisor.
- Smart Agriculture Solutions Developer or Operator, within the scope of the relevant qualifications and specialization.
- Hydroponic Agriculture Projects Manager or Supervisor.
- Consultant in Agricultural Digital Transformation, within the scope of professional qualifications and applicable regulations.
- Employment in agricultural technology companies and smart systems.
- Participation in teams responsible for developing and operating data- and artificial intelligence-driven hydroponic agriculture projects.
Admission Requirements
- A minimum of a secondary school certificate.
- Preference is given to applicants who are graduates of relevant disciplines or who have experience in agricultural, technological, engineering, or environmental fields, with the possibility of admitting interested applicants in accordance with the program's regulations.
Program Details
- Program Duration: One month.
- Training Hours: 24 training hours.
Fees
Fees are determined in accordance with the university's approved financial policy.
Registration Procedures
- Complete the program enrollment application.
- Visit the Center for Consultation and Training.
- Contact via internal telephone: 2590 / 2272.
- Or by email: CCE@AMMANU.EDU.JO.
