Scalable and ligthway bio-inspired coordination protocol for FANET in precision agriculture applications.
Floriano De RangoGiuseppe PotrinoMauro TropeaAmilcare Francesco SantamariaPeppino FazioPublished in: Comput. Electr. Eng. (2019)
Keyphrases
- bio inspired
- precision agriculture
- swarm intelligence
- lightweight
- artificial neural networks
- data mining
- multiagent systems
- hybrid intelligent systems
- low level image processing
- neural models
- modular neural networks
- multi agent
- genetic algorithm
- primary visual cortex
- neural network
- particle swarm optimization
- computer vision
- communication protocol
- address event representation