Experiences on Digital Agriculture in Rumania and Marocco
Dr. Marius Balas, Ph.D.
ABSTRACT
The presentation is focusing on soft computing methodology used in designing of complex systems. Nowadays, computers are doing many tasks on two-digit numbers which seeks precision, certainty, and rigor by following conventional rules. But there are tasks which require natural intelligence, that are best handled by human brains. While conventional computers are suitable for handling task sequentially, other tasks that required natural intelligence, past experience, self-improvements, probabilistic reasoning is best handled using parallel processing. Researchers are1 working to mimic human brains, so in the realm of artificial intelligence emerged the field of Soft Computing. This topic was introduced by Professor Lotfi Zadeh who showed that computation, reasoning, decision making should exploit the tolerance for imprecision and uncertainty and said that soft computing techniques uses the human brain as a role model. Professor Zadeh is a legend in fuzzy logic, known as a root of Artificial intelligence. Soft computing represents a collection of methodologies like fuzzy logic, neural networks, genetic algorithms, which exploit the tolerance for imprecision and uncertainty to achieve robustness and low-cost solutions. Fuzzy logic and expert systems are considered good approaches to solve control problems in many applications. We introduced methodologies and some applications in the case of different complex systems, where we provided elements of deterministic knowledge about the processes and assisted the design with simulations. We will a/so introduce some recent regulations on Artificial intelligence.
BIOSKETCH
Marius M. Balas, IEEE Senior Member, is a Habilitated Professor at The Engineering Faculty of Aurel Vlaicu University of Arad, Romania. His research topics are in Systems Engineering, Electronic Circuits, Intelligent and Fuzzy Systems, Adaptive Control, Modeling and Simulation. He is the author of 16 books and book chapters, 120 indexed papers and 7 invention patents.
His main scientific contributions are the fuzzy-interpolative systems, the passive greenhouses, the intelligent rooftop greenhouses, the constant time to collision traffic optimization, the imposed distance braking, PWM inverter for railway coaches in tropical environments, the rejection of the switching controllers’ instability by phase trajectory analysis and the Fermat neuron.
Coordinator for several research projects and student competitions, co-organizing the Control Engineering and Industrial Software Branch of the Engineering Faculty of Aurel Vlaicu University.