A new method for non-destructive measurement of biomass, growth rates, vertical biomass distribution and dry matter content based on digital image analysis

A new method for non-destructive measurement of biomass, growth rates, vertical biomass distribution and dry matter content based on digital image analysis

Item
http://www.wikidata.org/entity/Q33278017
Advanced phenotyping and phenotype data analysis for the study of plant growth and developmentHow to measure ecosystem stability? An evaluation of the reliability of stability metrics based on remote sensing time series across the major global ecosystems.Allometric models and aboveground biomass stocks of a West African Sudan Savannah watershed in Benin.Evaluation of Borage Extracts As Potential Biostimulant Using a Phenomic, Agronomic, Physiological, and Biochemical Approach.An integrated hyperspectral imaging and genome-wide association analysis platform provides spectral and genetic insights into the natural variation in riceAccurate inference of shoot biomass from high-throughput images of cereal plants.Utilization of a high-throughput shoot imaging system to examine the dynamic phenotypic responses of a C4 cereal crop plant to nitrogen and water deficiency over time.Non-destructive Phenotyping to Identify Brachiaria Hybrids Tolerant to Waterlogging Stress under Field Conditions.High-throughput shoot imaging to study drought responses.Comparison of visible imaging, thermography and spectrometry methods to evaluate the effect of Heterodera schachtii inoculation on sugar beets.An automated, cost-effective and scalable, flood-and-drain based root phenotyping system for cereals.PYM: a new, affordable, image-based method using a Raspberry Pi to phenotype plant leaf area in a wide diversity of environments.Response of Organ Structure and Physiology to Autotetraploidization in Early Development of Energy Willow Salix viminalis.A hyperspectral imaging system for an accurate prediction of the above-ground biomass of individual rice plants.Predicting plant biomass accumulation from image-derived parameters.Evaluation of three methods for biomass estimation in small invertebrates, using three large disparate parasite species as model organisms.Phenotypic variation of 38 European Ambrosia artemisiifolia populations measured in a common garden experiment
P2860

A new method for non-destructive measurement of biomass, growth rates, vertical biomass distribution and dry matter content based on digital image analysis

Item
http://www.wikidata.org/entity/Q33278017
description
2007 nî lūn-bûn
@nan
2007 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի մարտին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
A new method for non-destructi ...... ased on digital image analysis
@ast
A new method for non-destructi ...... ased on digital image analysis
@en
A new method for non-destructi ...... sed on digital image analysis.
@nl
type
label
A new method for non-destructi ...... ased on digital image analysis
@ast
A new method for non-destructi ...... ased on digital image analysis
@en
A new method for non-destructi ...... sed on digital image analysis.
@nl
prefLabel
A new method for non-destructi ...... ased on digital image analysis
@ast
A new method for non-destructi ...... ased on digital image analysis
@en
A new method for non-destructi ...... sed on digital image analysis.
@nl
P1433
P1476
P2860
P304
P31
P356
P407
P433
P478
P50
P577
P5875
P698
P921
P932
P356
P1433
P1476
A new method for non-destructi ...... ased on digital image analysis
@en
P2860
P304
P31
P356
P407
P433
P478
P50
P577
P5875
P698
P921
P932