Lego’s biobased bricks; Vertoro’s green crude oil; nitogen-fixing microbes for corn; diapers from food waste; 3D imaging; Apeel’s $70M: The Digest’s Top 10 Innovations for the week of August 15th

August 13, 2018 |

#5 2-D and 3-D images combine to accurately predict plant growth

In Russia, a group of scientists from the Space Center and the Center for Data-Intensive Science and Engineering at Skoltech have developed a method for predicting an increase in plant biomass using 2-D and 3-D images.
As the first step, they collected statistics by measuring plant growth in an artificial soilless system using a 3-D camera and established a relationship between the increase in the total biomass and the expansion of the total surface area of the leaves.

Then they captured the increase in the total leaf area using a 2-D camera and built a dynamic plant growth model based on these measurements.

The key distinguishing feature of the new method is that the data are collected using both 3-D and 2-D cameras ‒ an approach that obviates the need for time-consuming multi-parameter calculations. The leaf area and plant biomass data, coupled with an efficient mathematical model, produce accurate results.
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