However, the safety of the bots and surrounding is controlled by obstacle sensors or computer vision. Even though sensors are an essential part of automation, computer vision and machine learning are used to apply precision farming. The robots with machine vision that supply information about weed infestation, crop maturity status, and animals' nomadism are called intelligent bots. Computer vision technology's strength has been drastically improved with the development of technologies such as Graphics Processing Units (GPU), Deep Belief Networks (DBN) and the rapid growth of artificial intelligence.
Also, it must be remembered that the use of water requirement for horticulture is successfully reduced by using drones and an automated water supply system. The sensor that measures the moisture and temperature of soil helps to generate a signal for water requirement. Also, rainy days gives the alert about the excess water which affects the crop.
Automation is a solution to the energy crisis. It takes towards using renewable energy sources such as solar and wind power, which can be easily accessed and successfully implemented in agricultural land. Also, the horticulture crop waste due to insect attack, insufficient or excess water content in soil and weed infestation is reduced by intelligent robots. Therefore, automation in agriculture is a sophisticated way to lead the future of agriculture to clean and highly efficient food production.