Data for: Precision, quantitative measurement of sunflower capitulum inclination: a trigonometry-based approach
This repository contains data and supplementary materials for the paper "Precision, quantitative measurement of sunflower capitulum inclination: a trigonometry-based approach" (Agronomy Journal).
Contents
headinclination_allmodels.xlsx:
Excel file containing the raw data and calculated angles for sunflower head inclination measurements. This dataset includes:
Plot identifiers and location information
Plant measurements (flower height, maturity height, stem length, head height)
Calculated values (height difference, incline length)
Angle measurements using different methods (trigonometry-based, linear model)
supplementarymaterial_angle 20240619.stl:
STL file containing a 3D model related to the angle measurement apparatus used in the study.
supplementarymaterial_mount 20240619.stl:
STL file containing a 3D model of the mounting mechanism used for the measurement apparatus.
Study Overview
This research introduces novel approaches to mathematically measure sunflower head inclination angle, a crucial trait influencing crop performance. The study was conducted over the 2022 and 2023 growing seasons, utilizing an aluminum rod equipped with a ruler and a digital protractor for precise measurements.
The data and models provided here support the development of a trigonometry-based approach and a linear model for calculating head inclination angles. These methods offer improved precision over existing estimation techniques and have potential applications in high-throughput phenotyping.
CITE THIS COLLECTION
FUNDING
USDA-ARS CRIS Project 3060-21000-043
USDA-ARS CRIS Project 3060-21000-047
Data contact name
Smart, Brian, CData contact email
brian.smart@ndsu.eduPublisher
Ag Data CommonsIntended use
This data is intended for researchers studying sunflower head-inclination, agricultural engineering, and mathematical calculations of head angle. It can be used for comparative analyses, or similar studies.Use limitations
While the data is provided under CC0, users should cite the original paper when using this data in their research.Temporal Extent Start Date
2022-06-01Temporal Extent End Date
2023-10-31Theme
- Non-geospatial
ISO Topic Category
- farming
OMB Bureau Code
- 005:18 - Agricultural Research Service
OMB Program Code
- 005:040 - National Research
ARS National Program Number
- 301
Pending citation
- Yes
Public Access Level
- Public