2019-06-01
Combining computer vision and deep learning to enable ultra-scale aerial phenotyping and precision agriculture: A case study of lettuce production
2019-06-01 • Alan Bauer, Aaron Bostrom, Joshua Ball, Christopher Applegate, Tao Cheng, Stephen D. Laycock, Sergio Moreno Rojas, Jacob Kirwan, Ji Zhou
Aerial imagery is regularly used by crop researchers, growers and farmers to monitor crops during the growing season. To extract meaningful information from large-scale aerial images collected from the field, high-throughput phenotypic analysis solutions are required, which not only produce high-quality measures of key crop traits, but also support professionals to make prompt and reliable crop management decisions. Here, we report AirSurf, an automated and open-source analytic platform that combines modern comput…