Scientists use computer vision and machine learning to predict plant growth

A group of scientists from the Space Center (SC) and the Center for Data-Intensive Science and Engineering (CDISE) at Skoltech have developed a method for predicting an increase in plant biomass using 2-D and 3-D images. Their findings will help improve the efficiency of precision farming, both on Earth and in space. The results of their research were presented at the IEEE Instrumentation and Measurement Technology Conference and accepted for publication in a special issue of IEEE Pervasive Computing. With the rising global population, pervasive agriculture research is highly relevant. High technology opens up broad horizons for combating hunger in developing countries, enhancing food security, mitigating human impact on the environment and making agriculture more cost-effective.