In the face of growing agrochemical resistance and increasingly stringent regulatory requirements, how can AI be harnessed to help lower the costs, failure rates and timelines associated with current agrochemical development cycles?
During the webinar, our presenters draw on case study evidence to explore how deep learning techniques allow us to overcome many of these challenges.