Agriculture of the future: neural networks have learned to predict plant growth

Scientists from Skoltech have trained neural networks to evaluate and predict the plant growth pattern taking into account the main influencing factors and propose the optimal ratio between the nutrient requirements and other growth-driving parameters. The results of the study were published in the IEEE journal Transactions on Instrumentations and Measurements. Over the past few years, multiple attempts have been made to use artificial intelligence (AI) in nearly all spheres of life. It has proven useful, helping people to make the right decisions and achieve the goal. Using AI to grow plants in artificial environments is no exception.