Breeding crops for high yield and superior adaptability to new and variable climates is
imperative to ensure continued food security, biomass production, and ecosystem services …

With climate change and ever-increasing population growth, the pace of varietal
development needs to be accelerated in order to feed a population of 10 billion by 2050 …

Distribution shifts—where the training distribution differs from the test distribution—can
substantially degrade the accuracy of machine learning (ML) systems deployed in the wild …

Background Grain yield of wheat is greatly associated with the population of wheat spikes,
ie, spike~ number~ m^-2 spikenumberm-2. To obtain this index in a reliable and efficient …

This work introduces a method that combines remote sensing and deep learning into a
framework that is tailored for accurate, reliable and efficient counting and sizing of plants in …

精确测量植物表型是深入分析表型-基因-环境互作关系, 了解植物生理过程的前提和基础,
也是培育良种和提升现代农业生产精准管控的关键. 伴随高通量植物表型测量与分析技术的不断 …

Recent advances in convolutional neural networks (CNN) have achieved remarkable results
in locating objects in images. In these networks, the training procedure usually requires …

With continuous collaborative research in sensor technology, communication technology,
plant science, computer science and engineering science, Internet of Things (IoT) in …

Machine learning and computer vision technologies based on high-resolution imagery
acquired using unmanned aerial systems (UAS) provide a potential for accurate and efficient …

Key message High-throughput phenotyping (HTP) is in its infancy for deployment in large-
scale breeding programmes. With the ability to measure correlated traits associated with …