The potential for artificial intelligence in agriculture is vast. While AI is still not fully integrated into the agriculture industry, data collecting for AI ag applications has been taking place for years.
Austin O’Brien, is an Associate Professor of Computer Science at Dakota State University. He says agriculture researchers have been collecting data for artificial intelligence applications to use for over a decade.
O’Brien says that AI programs have a lot of resources to “learn” from based on research from many universities and colleges own test crops and herds. He says that data from farmers and ranchers is needed as well.
To work properly, O’Brien says AIs also need access to continually updated information.
He says using AI could create even greater accuracy for things such as meeting nutrition requirements in livestock feed rations or applying crop protection products in fields.
