Communications of the ACM
Skoltech Scientists se Computer Vision and Machine Learning to Predict Plant Growth
Skolkovo Institute of Science and Technology researchers havedeveloped a new way to predict how a plant will grow, based on two-dimensional and three-dimensional images.
Credit: Skolkovo Institute of Science and Technology
Researchers at the Skolkovo Institute of Science and Technology (Skoltech) in Russia have developed a method for predicting increasing biomass of a plant using two-dimensional (2D) and three-dimensional (3D) images, which they say will improve the efficiency of precision farming.
The research team initially measured plant growth in an artificial soil-free system with a 3D camera, and established the relationship between growth in total biomass and the expansion of the total surface area of a plant's leaves. They then measured the increase in total leaf area with a 2D camera and built a dynamic plant growth model based on the data.
Using both 2D and 3D cameras eliminates time-consuming multi-parameter calculations.
Skoltech's Tatiana Podladchikova says, "The new findings made in this experiment and the efficient data analysis and biomass growth prediction methods make a valuable contribution to the development of autonomous life support systems for use in space and on Earth."
From Skolkovo Institute of Science and Technology
View Full Article
Abstracts Copyright © 2018 Information Inc., Bethesda, Maryland, USA
No entries found