Authors: Steven, Michael D.; Malthus, Timothy J.; Baret, Frederic
No abstract.
Science Papers
Related posts
Scoring Cercospora Leaf Spot on Sugar Beet: Comparison of UGV and UAV Phenotyping Systems
Selection of sugar beet (Beta vulgaris L.) cultivars that are resistant to Cercospora Leaf Spot (CLS) disease is critical to increase yield. Such selection requires an automatic, fast, and objective…
A Surface Albedo Product at High Spatial Resolution from a Combination of Sentinel-2 and Landsat-8 Observations
Satellite Sentinel-2 offers a global coverage of the Earth at the frequency of a few days with pixel size ranging from 10 to 20 meters. Such spatio-temporal resolution fosters an…
High-Throughput Measurements of Stem Characteristics to Estimate Ear Density and Above-Ground Biomass
Total above-ground biomass at harvest and ear density are two important traits that characterize wheat genotypes. Two experiments were carried out in two different sites where several genotypes were grown…
Ear Density Estimation from High Resolution RGB Imagery using Deep Learning Technique
Wheat ear density estimation is an appealing trait for plant breeders. Current manual counting is tedious and inefficient. In this study we investigated the potential of convolutional neural networks (CNNs)…
Request a Demo
Ready to elevate your phenotyping capabilities? We're here to help you achieve more precise and insightful results. Connect with our team today to discuss your specific needs and discover how our solutions can transform your research.
