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OA期刊
刊名
Plant Phenomics
出版商
American Association for the Advancement of Science
url
https://spj.science.org/journal/plantphenomics
机构
Science
全部
2019
2020
2021
2022
2023
2024
2019, vol.2019
题名
作者
出版年
年卷期
In Vivo Phenotyping for the Early Detection of Drought Stress in Tomato
Michela Janni;Nicola Coppede;Manuele Bettelli;Nunzio Briglia;Angelo Petrozza;Stephan Summerer;Filippo Vurro;Donatella Danzi;Francesco Cellini;Nelson Marmiroli;Domenico Pignone;Salvatore Iannotta;Andrea Zappettini;
2019
2019, vol.2019
Easy MPE: Extraction of Quality Microplot Images for UAV-Based High-Throughput Field Phenotyping
LxEa Tresch;Yue Mu;Atsushi Itoh;Akito Kaga;Kazunori Taguchi;Masayuki Hirafuji;Seishi Ninomiya;Wei Guo;
2019
2019, vol.2019
High-Throughput UAV Image-Based Method Is More Precise Than Manual Rating of Herbicide Tolerance
Hema S. N. Duddu;Eric N. Johnson;Christian J. Willenborg;Steven J. Shirtliffe;
2019
2019, vol.2019
Applying FAIR Principles to Plant Phenotypic Data Management in GnpIS
C. Pommier;C. Michotey;G. Cornut;P. Roumet;E. Duchxeane;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;
2019
2019, vol.2019
A High-Throughput Phenotyping System Using Machine Vision to Quantify Severity of Grapevine Powdery Mildew
Andrew Bierman;Tim LaPlumm;Lance Cadle-Davidson;David Gadoury;Dani Martinez;Surya Sapkota;Mark Rea;
2019
2019, vol.2019
Development of Optimized Phenomic Predictors for Efficient Plant Breeding Decisions Using Phenomic-Assisted Selection in Soybean
Kyle Parmley;Koushik Nagasubramanian;Soumik Sarkar;Baskar Ganapathysubramanian;Asheesh K. Singh;
2019
2019, vol.2019
Nondestructive Phenomic Tools for the Prediction of Heat and Drought Tolerance at Anthesis in Brassica Species
Sheng Chen;Yiming Guo;Xavier Sirault;Katia Stefanova;Renu Saradadevi;Neil C. Turner;Matthew N. Nelson;Robert T. Furbank;Kadambot H. M. Siddique;Wallace A. Cowling;
2019
2019, vol.2019
Using High-Throughput Phenotyping to Explore Growth Responses to Mycorrhizal Fungi and Zinc in Three Plant Species
S. J. Watts-Williams;N. Jewell;C. Brien;B. Berger;T. Garnett;T. R. Cavagnaro;
2019
2019, vol.2019
High-Throughput Measurements of Stem Characteristics to Estimate Ear Density and Above-Ground Biomass
Xiuliang Jin;Simon Madec;Dan Dutartre;Benoit de Solan;Alexis Comar;Frdxeric Baret;
2019
2019, vol.2019
How Convolutional Neural Networks Diagnose Plant Disease
Yosuke Toda;Fumio Okura;
2019
2019, vol.2019
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