论文标题
计算机视觉与植物表型在农业中的深度学习：一项调查
Computer Vision with Deep Learning for Plant Phenotyping in Agriculture: A Survey
论文作者
论文摘要
鉴于全球粮食需求不断增长的农业挑战日益增长，有效的作物管理技术对于提高农作物的产量是必要的。精确的农业技术使利益相关者可以根据监测作物环境收集的数据做出有效和定制的作物管理决策。植物表型技术在准确的作物监测中起着重要作用。深度学习的进步使以前困难的表型任务成为可能。这项调查旨在向读者介绍深层植物表型的最先进研究状态。
In light of growing challenges in agriculture with ever growing food demand across the world, efficient crop management techniques are necessary to increase crop yield. Precision agriculture techniques allow the stakeholders to make effective and customized crop management decisions based on data gathered from monitoring crop environments. Plant phenotyping techniques play a major role in accurate crop monitoring. Advancements in deep learning have made previously difficult phenotyping tasks possible. This survey aims to introduce the reader to the state of the art research in deep plant phenotyping.
