A community repository and forum for discussion of published works on tools and techniques for plant phenotyping – the objective measurement of structural and functional properties of plants
Editor Tony P. Pridmore
Multispectral imaging for presymptomatic analysis of light leaf spot in oilseed rape (2019)
Charles Veys, Fokion Chatziavgerinos, Ali AlSuwaidi, James Hibbert, Mark Hansen, Gytis Bernotas, Melvyn Smith, Hujun Yin, Stephen Rolfe, Bruce Grieve
http://www.ncbi.nlm.nih.gov/pubmed/30697329
Dec 09, 2020 - The study includes a collaboration between the University of Manchester and the University of Sheffield which evaluated the use of AI-enabled multispectral imaging for presymptomatic detection of disease (LLS in OSR). The results showed that multispectral could be used to detect th...
Applying FAIR Principles to Plant Phenotypic Data Management in GnpIS (2019)
C. Pommier, C. Michotey, G. Cornut, P. Roumet, E. Duchêne, R. Flores, A. Lebreton, M. Alaux, S. Durand, E. Kimmel, T. Letellier, G. Merceron, M. Laine, C. Guerche, M. Loaec, D. Steinbach, M. A. Laporte, E. Arnaud, H. Quesneville, A. F. Adam-Blondon
http://dx.doi.org/10.34133/2019/1671403
Nov 23, 2020 - GnpIS is a data repository for plant phenomics that stores whole field and greenhouse experimental data including environment measures. It allows long-term access to datasets following the FAIR principles: Findable, Accessible, Interoperable, and Reusable, by using a flexible and o...
Crop Phenomics: Current Status and Perspectives (2019)
Chunjiang Zhao, Ying Zhang, Jianjun Du, Xinyu Guo, Weiliang Wen, Shenghao Gu, Jinglu Wang, Jiangchuan Fan
http://www.ncbi.nlm.nih.gov/pubmed/31214228
Nov 23, 2020 - Reliable, automatic, multifunctional, and high-throughput phenotypic technologies are increasingly considered important tools for rapid advancement of genetic gain in breeding programs. With the rapid development in high-throughput phenotyping technologies, research in this area is...
Computer Vision with Deep Learning for Plant Phenotyping in Agriculture: A Survey (2020)
Vineeth N Balasubramanian, Wei Guo, Akshay L Chandra, Sai Vikas Desai
http://dx.doi.org/10.34048/acc.2020.1.f1
Nov 04, 2020 - 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 decision...
A Deep Learning-Based Phenotypic Analysis of Rice Root Distribution from Field Images (2020)
S. Teramoto, Y. Uga
http://dx.doi.org/10.34133/2020/3194308
Nov 04, 2020 - Root distribution in the soil determines plants’ nutrient and water uptake capacity. Therefore, root distribution is one of the most important factors in crop production. The trench profile method is used to observe the root distribution underground by making a rectangular hole clo...
Plant Phenomics, From Sensors to Knowledge (2017)
François Tardieu, Llorenç Cabrera-Bosquet, Tony Pridmore, Malcolm Bennett
http://dx.doi.org/10.1016/j.cub.2017.05.055
Aug 25, 2020 - A recent review of the state of the art and current issues in plant phenotyping.