Smart Agriculture (SA)

Research areas of the Department in the field of Smart Agriculture include the following:


Machine Learning

Development of Convolutional Neural Networks and other Deep Learning models for image-based detection of plants diseases.


Wireless Sensor Networks

Design and energy optimization of wireless sensor networks for precision agriculture and smart farming, and their integration into IoT applications.


Autonomous Vehicles

Heuristics and smart algorithms for optimal path planning of autonomous agricultural vehi-cles in various open field applications. 

Agricultural Mechanization & Environmental Protection


Research related to the advancement of agricultural mechanization and the protection of the environment includes the following:

Spraying Optimization

Research related to equipment, technologies and methodologies of pesticide application, with a goal to optimize the quality of sprayers and the applied techniques, with a goal of minimizing the impact on human health and the environment. Towards that direction, experiments in open field and laboratory conditions are performed, including dispersion of spraying mist, spray liquid deposition on tree leaves, etc.

Controlled Environment Agriculture (CEA)

3.PNG  Research related to Controlled Environment Agriculture (CEA) includes the development of wireless sensor networks (WSNs) for the monitoring and assessment of greenhouse climatic conditions, the creation of sophisticated supplemental lighting systems based on LEDs, and the development of advanced fault detection methodologies for hydroponics and environmental control systems, based on computational intelligence models, smart sensors and advanced data analytics.
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