Canopy Roughness: A New Phenotypic Trait to Estimate Aboveground Biomass from Unmanned Aerial System [0.03%]
基于无人机系统的冠层粗糙度估算地上生物量的新表型性状研究
Monica Herrero-Huerta,Alexander Bucksch,Eetu Puttonen et al.
Monica Herrero-Huerta et al.
Cost-effective phenotyping methods are urgently needed to advance crop genetics in order to meet the food, fuel, and fiber demands of the coming decades. Concretely, characterizing plot level traits in fields is of particular interest. Rece...
Global Trends of Usage of Chlorophyll Fluorescence and Projections for the Next Decade [0.03%]
叶绿素荧光使用趋势及未来十年展望
Alonso Zavafer,Leen Labeeuw,Cristian Mancilla
Alonso Zavafer
Chlorophyll fluorescence is the most widely used set of techniques to probe photosynthesis and plant stress. Its great versatility has given rise to different routine methods to study plants and algae. The three main technical platforms are...
Water Dynamics on Germinating Diaspores: Physiological Perspectives from Biophysical Measurements [0.03%]
发芽植物繁殖体上水分动力学的研究：生物物理测定的生理视角
J P Ribeiro-Oliveira,M A Ranal,M A Boselli
J P Ribeiro-Oliveira
We demonstrated that classical biophysical measurements of water dynamics on germinating diaspores (seeds and other dispersal units) can improve the understanding of the germination process in a simpler, safer, and newer way. This was done ...
Generalized Linear Model with Elastic Net Regularization and Convolutional Neural Network for Evaluating Aphanomyces Root Rot Severity in Lentil [0.03%]
带有Elastic Net正则化的广义线性模型和卷积神经网络在评估扁豆根腐病严重程度中的应用
Afef Marzougui,Yu Ma,Rebecca J McGee et al.
Afef Marzougui et al.
Phenomics technologies allow quantitative assessment of phenotypes across a larger number of plant genotypes compared to traditional phenotyping approaches. The utilization of such technologies has enabled the generation of multidimensional...
Scoring Cercospora Leaf Spot on Sugar Beet: Comparison of UGV and UAV Phenotyping Systems [0.03%]
用于糖用甜菜Cercospora叶片斑点评分的UGV和UAV表型系统的比较
S Jay,A Comar,R Benicio et al.
S Jay et al.
Selection of sugar beet (Beta vulgaris L.) cultivars that are resistant to Cercospora Leaf Spot (CLS) disease is critical to increase yield. Such selection requires an automatic, fast, and objective method to assess CLS severity on thousand...
Machine Learning-Based Presymptomatic Detection of Rice Sheath Blight Using Spectral Profiles [0.03%]
基于机器学习的水稻叶鞘腐败症光谱特征潜发检测
Anna O Conrad,Wei Li,Da-Young Lee et al.
Anna O Conrad et al.
Early detection of plant diseases, prior to symptom development, can allow for targeted and more proactive disease management. The objective of this study was to evaluate the use of near-infrared (NIR) spectroscopy combined with machine lea...
Ground-Based LiDAR Improves Phenotypic Repeatability of Above-Ground Biomass and Crop Growth Rate in Wheat [0.03%]
基于地面的激光雷达改善了小麦地上生物量和作物生长率的表型重复性
David M Deery,Greg J Rebetzke,Jose A Jimenez-Berni et al.
David M Deery et al.
Highly repeatable, nondestructive, and high-throughput measures of above-ground biomass (AGB) and crop growth rate (CGR) are important for wheat improvement programs. This study evaluates the repeatability of destructive AGB and CGR measure...
TasselGAN: An Application of the Generative Adversarial Model for Creating Field-Based Maize Tassel Data [0.03%]
基于生成对抗模型的创制基于田间数据的玉米雄穗图像数据集(TasselGAN)
Snehal Shete,Srikant Srinivasan,Timothy A Gonsalves
Snehal Shete
Machine learning-based plant phenotyping systems have enabled high-throughput, non-destructive measurements of plant traits. Tasks such as object detection, segmentation, and localization of plant traits in images taken in field conditions ...
A N Underhill,C D Hirsch,M D Clark
A N Underhill
Grape berry color is an economically important trait that is controlled by two major genes influencing anthocyanin synthesis in the skin. Color is often described qualitatively using six major categories; however, this is a subjective ratin...
A High-Throughput Phenotyping Pipeline for Image Processing and Functional Growth Curve Analysis [0.03%]
一个高通量表型分析流程用于图像处理和功能生长曲线分析
Ronghao Wang,Yumou Qiu,Yuzhen Zhou et al.
Ronghao Wang et al.
High-throughput phenotyping system has become more and more popular in plant science research. The data analysis for such a system typically involves two steps: plant feature extraction through image processing and statistical analysis for ...