Swarm robotics is the method used in order to have coordination among robots as a system. It is used to implement a desired collective behavior through the coordination between multiple robots and also interaction of robots with environment. 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 defined as the process that involves the 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, straightforward agents that interact with one another and their 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 the 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.