Pests & weed control autonomous robot using machine vision

Abstract

To create a future in which both people and nature can survive? This is the biggest question of our time! In the next few decades, we need to do something and find a sustainable coexistence on the earth. During the past years, we have grown with nature and learned to tame the wild, during the process, our population boomed so did our demands. So, the ecological footprints tend to rise. This can be addressed by upgrading to efficient food production and reducing our consumption of meat. We would require far less land and resources for ourselves and leave more land for the grasslands and reduce deforestation. So, we decided to take a small step forward for efficient food production in agriculture by helping the farmers to reduce the usage of pesticides and improve the efficiency of production. Hence, we planned an autonomous robot which uses deep learning algorithm to find the difference between weed and plant so we could use the pesticides wisely and remove the weeds properly with less human effort and we decided to make this robot connected through cloud(internet) to make the robot lite and simple. The algorithm helps to identify the pests and the crops precisely and the process is actuated via internet.