![This is a partially reconstructed point-cloud of a peanut field. When completed, UGA scientists will be able to tell the height, width, leaf cover, growth and disease anomolies for individual plants and track it through the season. Currently the research project is working to make the 3-d reconstruction accurate to within 1 mm.](https://secure.caes.uga.edu/news/multimedia/images/2219/3-D-image-low-res.jpg)
3-D Images
University of Georgia scientist Glen Rains is combining 3-D images and robotics to help farmers identify crop problems before they become an issue that will affect potential yields.