The Design and Simulation of Rose Harvesting Robot

The agriculture sector is backbone for several country economies; the economic status depends on the agriculture of those countries. If we increase the ease in agriculture process, with latest technologies through automation in processes such as cultivating, harvesting, spraying pesticides etc., it increases the growth of the economic status of the country by raising its GDP. Rose flower is one, having high demand in the society but the problem with this flower is its harvesting. Rose flower cultivation is one of the difficult methods, as to harvest the thorns on their stems cause's injuries and a training is required for the labours to learn harvesting. Decreasing the labour population day by day due to various problems increases the demand of labour and their cost. Due to the training and high labour costs in rose flower cultivation tends to increase in its production cost. To solve all these problems a rose harvesting machine which is fully automated is designed and it works with machine learning algorithms and image processing tool designed in Matlab.