A new yield prediction model leverages soil and climate data to help growers in Argentina prepare for the impacts of El Niño and La Niña. By providing tailored product and density recommendations, farmers can make informed decisions to optimize their seed selections and manage resources effectively, ensuring profitability even in challenging weather conditions. This innovative approach highlights the importance of integrating multiple data streams to support sustainable agriculture.
