The future of Internet of Things in agriculture: Plant high-throughput phenotypic platform-Reference-Cited by-同舟云学术

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The future of Internet of Things in agriculture: Plant high-throughput phenotypic platform

Published:2021-01 Issue: Volume:280 Page:123651
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Fan Jiangchuan,Zhang Ying,Wen Weiliang,Gu Shenghao,Lu Xianju,Guo Xinyu

Funder

National Basic Research Program of China

Beijing Academy of Agricultural and Forestry Sciences

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment

Reference92 articles.

1. DeepWheat: estimating phenotypic traits from crop images with deep learning [J];Aich,2018

2. Geometric plant properties by relaxed stereo vision using simulated annealing;Andersen;Comput. Electron. Agric.,2005

3. A survey of wireless sensor network approaches and their energy consumption for monitoring farm fields in precision agriculture;Anisi;Precis. Agric.,2015

4. Field high-throughput phenotyping: the new crop breeding frontier [J];Araus;Trends Plant Sci.,2014

5. A new three-dimensional energy balance model for complex plant canopy geometries: model development and improved validation strategies;Bailey;Agric. For. Meteorol.,2016

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