9th International Conference on ICT for Sustainable Development

Authors - Vanishree Pabalkar, Ruby Chanda
Abstract - Swarm robotics is the method used in order to have coordination amongst robots as a system. It is used to implement tendency that involves the action that is in a group or swarm through coordination amongst multiple flocks along with the communication with the surroundings. Artificial Intelligence and AI techniques that are relevant in robotics, like machine learning, deep learning, and evolutionary algorithms, are created to put these robots to tasks, that are crucial for enabling robots to learn and adapt in dynamic environments. Robots are used in autonomous construction of huge structures through multiple swarms. This task includes designing algorithms for collaborative planning, coordination, and execution of construction tasks by multiple robots. The process is adopted through collective intelligence by multiple robots, termed as Swarm intelligence. Swarm intelligence is a process that involves problem-solving behavior by way of collective intelligence. The intelligence is exhibited by a group for attaining better results, like bees, fish, ants, birds etc. The concept pf swarm intelligence, can be applied in the field of Agriculture, in order to attain better results. Swarm intelligence aids in enhancing the quality of crop production, thereby enhancing the efficiency, and increasing productivity. The swarm, which is the group intelligence acts as a catalyst and a responsive system that holds the capacity of resolving the issues and challenges faced in the field of agriculture. A swarm is made up of numerous homogeneous flocks that communicate with the surroundings on a local level without any central command, allowing for the emergence of novel behavior on a larger scale. In the current study, the attempt has been made to understand the correlation between Swarm Intelligence and Agriculture. The attempt here to understand the role of Swarm Intelligence in having a better crop yield in the field of Agriculture. In this paper, the key aspects of Swarm Intelligence are discussed. Ant Colony Optimization and Particle Swarm Optimization are significant topics in Swarm Intelligence, which have been discussed in depth. The aim is to address the key aspects of swarm robotics and autonomous construction. In the concluding remarks, it has been mentioned that though Swarm Intelligence has been used and applied in several fields, the current study discusses the role of Swarm Intelligence through swarm robotics.