基于深度学习的农业植物表型计算机视觉：综述
计算机视觉与模式识别
2020-06-23 v1
摘要
面对全球粮食需求不断增长带来的日益严峻的农业挑战，亟需高效的作物管理技术以提高作物产量。精准农业技术使利益相关方能够基于作物环境监测数据做出有效且定制化的作物管理决策。植物表型技术在精准作物监测中发挥着重要作用。深度学习的进展使以往困难的表型任务成为可能。本综述旨在向读者介绍深度植物表型领域的最先进研究。
引用
@article{arxiv.2006.11391,
title = {Computer Vision with Deep Learning for Plant Phenotyping in Agriculture: A Survey},
author = {Akshay L Chandra and Sai Vikas Desai and Wei Guo and Vineeth N Balasubramanian},
journal= {arXiv preprint arXiv:2006.11391},
year = {2020}
}
备注
Featured as an article at Journal of Advanced Computing and Communications, April 2020. arXiv admin note: text overlap with arXiv:1805.00881 by other authors