AI in Agriculture Market its Future Outlook and Trends

 

Another key purpose of using AI in agriculture is livestock monitoring, which is essential in order to improve the quality of dairy and meat products, especially since they are strongly regulated by government agencies for safety and nutritional value. Machine vision is being leveraged to recognize hide patterns and facial features, ascertain the water and food intake of the livestock, as well as track the animals’ temperature and behavior. In this regard, the rising incidence of foodborne diseases is driving the focus on livestock monitoring, as it allows farmers to administer drugs and other treatments or discard products from animals that are not in good health.

However, since the usage of AI requires an advanced IT infrastructure, sufficient technical know-how, and good financial health, the AI in agriculture market has been dominated by North America till now. The continent is home to the Silicon Valley; therefore, numerous AI software and hardware providers exist here, which leads to easy access to this advanced technology. Now, with technological advancements taking place elsewhere too, Asia-Pacific (APAC) is set to witness the fastest penetration of AI in the agricultural sector. The government of the Indian state of Maharashtra is already working with the World Economic Forum for monitoring farmlands with drones.

Thus, with the increasing penetration of advanced technologies, primarily driven by government efforts, the usage of AI will boom in agricultural practices around the world.