Smart Self-Pollination for Future Agricultural-A Computational Structure for Micro Air Vehicles with Man-Made and Artificial Intelligence
Keywords:
pollination, pollinator, robobee, sensor, vehicleAbstract
: As pollination is an important role in agriculture to yield many fruits. This is diminished due to the use of fertilizers. This leads the honey bee not get attracted with the flowers with its colours and odour. So smart self-pollination is applied using Micro Air Vehicle (MAV) like MAV Pollinators (MPrs). In this the movement of the bees are not happening in a sufficient way due to the absence of artificial intelligence. Further the mean square error is not calculated. Also, if there are a greater number of bees it may fly in the same direction due to the absence of mentioning the direction. Also, from the fly the information is not carried directly to the environment. This leads to a decrease in the rate of pollination. This is remedy by proposing a new micro air vehicle with robo bee. In this clustering is made for finding the centroid. Based on the formation of the clusters, the robobee is let to fly. Now the direction for the robobee needs to be determined in each cluster. This is done by using particle swarm optimization. Based on which the findings like dimensions, number of boids and the number of Epochs are found and based on the calculations the robobee was let to fly. As the wings and body in the robobee is connected on the basis of artificial intelligence, it will help to update periodically and the pollination will happen smartly without any human intervention.
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