Table of Contents

Table of Contents: 2019

  • Plant Phenomics -
  • Special Issue
  • Volume 2019
  • - Article ID 5704154
  • - Research Article

Monitoring Maize Lodging Grades via Unmanned Aerial Vehicle Multispectral Image

Qian Sun | Lin Sun | ... | Longfei Zhou
  • Plant Phenomics -
  • Special Issue
  • Volume 2019
  • - Article ID 2591849
  • - Research Article

Easy MPE: Extraction of Quality Microplot Images for UAV-Based High-Throughput Field Phenotyping

Léa Tresch | Yue Mu | ... | Wei Guo
  • Plant Phenomics -
  • Special Issue
  • Volume 2019
  • - Article ID 6168209
  • - Research Article

In Vivo Phenotyping for the Early Detection of Drought Stress in Tomato

Michela Janni | Nicola Coppede | ... | Andrea Zappettini
  • Plant Phenomics -
  • Special Issue
  • Volume 2019
  • - Article ID 9136298
  • - Research Article

Optical Flow-Based Analysis of the Relationships between Leaf Wilting and Stem Diameter Variations in Tomato Plants

Kazumasa Wakamori | Hiroshi Mineno
  • Plant Phenomics -
  • Special Issue
  • Volume 2019
  • - Article ID 3285904
  • - Research Article

Precision Phenotyping Reveals Novel Loci for Quantitative Resistance to Septoria Tritici Blotch

Steven Yates | Alexey Mikaberidze | ... | Bruce A. McDonald
  • Plant Phenomics -
  • Special Issue
  • Volume 2019
  • - Article ID 6036453
  • - Research Article

High-Throughput UAV Image-Based Method Is More Precise Than Manual Rating of Herbicide Tolerance

Hema S. N. Duddu | Eric N. Johnson | ... | Steven J. Shirtliffe
  • Plant Phenomics -
  • Special Issue
  • Volume 2019
  • - Article ID 4528719
  • - Research Article

Evaluating the Utility of Carbon Isotope Discrimination for Wheat Breeding in the Pacific Northwest

Liam S. Dixon | Jayfred V. Godoy | Arron H. Carter
  • Plant Phenomics -
  • Special Issue
  • Volume 2019
  • - Article ID 9209727
  • - Research Article

A High-Throughput Phenotyping System Using Machine Vision to Quantify Severity of Grapevine Powdery Mildew

Andrew Bierman | Tim LaPlumm | ... | Mark Rea
  • Plant Phenomics -
  • Special Issue
  • Volume 2019
  • - Article ID 7368761
  • - Research Article

An Exploration of Deep-Learning Based Phenotypic Analysis to Detect Spike Regions in Field Conditions for UK Bread Wheat

Tahani Alkhudaydi | Daniel Reynolds | ... | Beatriz de la Iglesia
  • Plant Phenomics -
  • Special Issue
  • Volume 2019
  • - Article ID 5809404
  • - Research Article

Development of Optimized Phenomic Predictors for Efficient Plant Breeding Decisions Using Phenomic-Assisted Selection in Soybean

Kyle Parmley | Koushik Nagasubramanian | ... | Asheesh K. Singh
  • Plant Phenomics -
  • Special Issue
  • Volume 2019
  • - Article ID 1525874
  • - Research Article

A Weakly Supervised Deep Learning Framework for Sorghum Head Detection and Counting

Sambuddha Ghosal | Bangyou Zheng | ... | Wei Guo
  • Plant Phenomics -
  • Special Issue
  • Volume 2019
  • - Article ID 6379693
  • - Research Article

Nondestructive and Fast Vibration Phenotyping of Plants

E. de Langre | O. Penalver | ... | B. Moulia
  • Plant Phenomics -
  • Special Issue
  • Volume 2019
  • - Article ID 4820305
  • - Research Article

High-Throughput Measurements of Stem Characteristics to Estimate Ear Density and Above-Ground Biomass

Xiuliang Jin | Simon Madec | ... | Frédéric Baret
  • Plant Phenomics -
  • Special Issue
  • Volume 2019
  • - Article ID 3264872
  • - Research Article

Nondestructive Phenomic Tools for the Prediction of Heat and Drought Tolerance at Anthesis in Brassica Species

Sheng Chen | Yiming Guo | ... | Wallace A. Cowling
  • Plant Phenomics -
  • Special Issue
  • Volume 2019
  • - Article ID 1671403
  • - Research Article

Applying FAIR Principles to Plant Phenotypic Data Management in GnpIS

C. Pommier | C. Michotey | ... | A. F. Adam-Blondon