Journal: MethodsX

Article Title: The comparison of Canopeo and samplepoint for measurement of green canopy cover for forage crops in India

doi: 10.1016/j.mex.2022.101916

Figure Lengend Snippet: Software settings and plant characteristics at the time of image recording and processing.

Article Snippet: Regression analysis was performed on the percent canopy cover (green) data obtained from Canopeo, SamplePoint, and visual assessments using the Proc REG procedure in SAS (version 9.3, SAS Institute Inc, Cary, NC).

Techniques: Software

Journal: MethodsX

Article Title: The comparison of Canopeo and samplepoint for measurement of green canopy cover for forage crops in India

doi: 10.1016/j.mex.2022.101916

Figure Lengend Snippet: Assessments of different canopy cover measurements and their accuracy level. Relationships between (A) visual assessment and Canopeo measurement, (B) visual assessment and SamplePoint measurement, and (C) Canopeo and SamplePoint measurements are presented. Data from all the crops were pooled for the analysis.

Article Snippet: Regression analysis was performed on the percent canopy cover (green) data obtained from Canopeo, SamplePoint, and visual assessments using the Proc REG procedure in SAS (version 9.3, SAS Institute Inc, Cary, NC).

Techniques:

Journal: MethodsX

Article Title: The comparison of Canopeo and samplepoint for measurement of green canopy cover for forage crops in India

doi: 10.1016/j.mex.2022.101916

Figure Lengend Snippet: Correlation among visual assessment, Canopeo and SamplePoint values for different crops.

Article Snippet: Regression analysis was performed on the percent canopy cover (green) data obtained from Canopeo, SamplePoint, and visual assessments using the Proc REG procedure in SAS (version 9.3, SAS Institute Inc, Cary, NC).

Techniques:

Journal: MethodsX

Article Title: The comparison of Canopeo and samplepoint for measurement of green canopy cover for forage crops in India

doi: 10.1016/j.mex.2022.101916

Figure Lengend Snippet: Vegetation covers estimated using Canopeo in the plots growing maize (A, B), sorghum (C, D), cowpea (E, F), oats (G, H), berseem (I, J), and bare soil (K, L) in a field study conducted at Jhansi, India. Photographs on the right (B, D, F, H, J, L) are depicting the Canopeo-converted photographs of the original photos (A, C, E, G, I, K, respectively) and white pixels are representing the green colour of the vegetation.

Article Snippet: Regression analysis was performed on the percent canopy cover (green) data obtained from Canopeo, SamplePoint, and visual assessments using the Proc REG procedure in SAS (version 9.3, SAS Institute Inc, Cary, NC).

Techniques:

Journal: MethodsX

Article Title: The comparison of Canopeo and samplepoint for measurement of green canopy cover for forage crops in India

doi: 10.1016/j.mex.2022.101916

Figure Lengend Snippet:

Article Snippet: Regression analysis was performed on the percent canopy cover (green) data obtained from Canopeo, SamplePoint, and visual assessments using the Proc REG procedure in SAS (version 9.3, SAS Institute Inc, Cary, NC).

Techniques:

Journal: PLOS ONE

Article Title: Canopeo app as image-based phenotyping tool in controlled environment utilizing Arabidopsis mutants

doi: 10.1371/journal.pone.0300667

Figure Lengend Snippet: (A) A tripod is set up at 64 cm (25 inches) height to take images using cellphone with Canopeo app. Tripod feet were centered behind the tray, using the square ruler as a guide for repeatable placement. (B) A dark colored background was used as an imaging backdrop. A dark colored tray with gridlines was used for the repeatable spacing of specimens. Digital images were uploaded to the Canopeo app using the smartphone.

Article Snippet: Raw images were uploaded to Canopeo MATLAB.

Techniques: Imaging

Journal: PLOS ONE

Article Title: Canopeo app as image-based phenotyping tool in controlled environment utilizing Arabidopsis mutants

doi: 10.1371/journal.pone.0300667

Figure Lengend Snippet: Canopeo biomass was calibrated using dry plant weights. Blue dots and orange squares represent different experimental replicates.

Article Snippet: Raw images were uploaded to Canopeo MATLAB.

Techniques:

Journal: PLOS ONE

Article Title: Canopeo app as image-based phenotyping tool in controlled environment utilizing Arabidopsis mutants

doi: 10.1371/journal.pone.0300667

Figure Lengend Snippet: (A) Biomass accumulation of fkf1-t was consistently higher at the 6-week developmental stage compared to Col-0. (B) Biomass accumulation of fkf1-t remained consistently higher across 8-, 10-, and 12-week developmental stages compared to Col-0. Relative biomass of FKF1-OE was statistically lower than Col-0 at the 8-week developmental stage. By week 12, overall lower relative biomass measurements indicate all plants are in senescence, but the statistically significant grouping of fkf1-t suggests that this genotype experiences senescence at a slower rate. Statistically significant difference between Col-0 and any other Arabidopsis line is labeled with * (p < 0.05). (C) Detecting biomass accumulation with Canopeo across six developmental stages provides insights on rate of vegetative biomass partitioning and rate of senescence across the plant life cycle. Statistical analyses were performed using SAS GLIMMIX. Means with same letter within same week are not significantly different. Statistically significant difference between Col-0 and any other Arabidopsis line is labeled with * (p<0.05).

Article Snippet: Raw images were uploaded to Canopeo MATLAB.

Techniques: Labeling

Journal: PLOS ONE

Article Title: Canopeo app as image-based phenotyping tool in controlled environment utilizing Arabidopsis mutants

doi: 10.1371/journal.pone.0300667

Figure Lengend Snippet: A comparison of accuracy of different visible light imaging techniques for biomass estimation in plant phenotype application [ 18 – 20 , 24 , 25 , 32 – 34 , 48 ].

Article Snippet: Raw images were uploaded to Canopeo MATLAB.

Techniques: Comparison, Imaging, Software