The Bronson Files, Dataset 10, Field 113, 2018 Cotton

Dr. Kevin Bronson provides a dataset representing the third of three consecutive years of cotton and nitrogen management experimentation in Field 113 of the Maricopa Agricultural Center, Arizona USA. Included is an intermediate analysis mega-table of correlated and calculated parameters, laboratory analysis results generated during the experimentation, plus high-resolution plot level intermediate data analysis tables of SAS process output, as well as the complete raw data sensor recorded logger outputs.
See included README file for operational details and further description of the measured data signals.
Summary -
Active optical proximal cotton canopy sensing spatial data and including additional related metrics are presented.
Agronomic nitrogen and irrigation management related field operations are listed.
Unique research experimentation intermediate analysis table is made available, along with raw data.
The raw data recordings, and annotated table outputs with calculated VIs are made available.
Plot polygon coordinate designations allow a re-intersection spatial analysis.
Data was collected in the 2018 cotton season at Maricopa Agricultural Center, Arizona, USA.
High throughput proximal plant phenotyping via electronic sampling and data processing method approach is exampled using a modified high-clearance Hamby spray-rig.
Acquired data conforms to location standard methodologies of high-throughput plant phenotyping.
The weekly proximal sensing data collected include the primary canopy reflectance at six wavelengths. Lint and seed yields, first open boll biomass, and nitrogen uptake was also determined. Soil profile nitrate to 1.8 m depth was determined in 30-cm increments, before planting and after harvest. Nitrous oxide emissions were determined with 1-L vented chambers (samples taken at 0, 12, and 24 minutes). Nitrous oxide was determined by gas chromatography (electron detection detector).

凯文·布罗森博士提供了一组数据集，该数据集展示了美国亚利桑那州马里科帕农业研究中心113号地块连续三年棉花与氮肥管理实验的第三年数据。其中包含了一系列相关参数的关联和计算分析的大型中间分析表、实验期间产生的实验室分析结果，以及SAS过程输出的高分辨率地块级中间数据分析表、完整的原始数据传感器记录日志输出。详见所附README文件，获取操作细节及测量数据信号的进一步描述。

概要：
展示了活跃光学近地棉花冠层传感空间数据及其相关指标。
列出了与农业氮肥和灌溉管理相关的田间操作。
提供了独特的科研实验中间分析表，以及原始数据。
提供了原始数据记录和带计算VI的标注表格输出。
地块多边形坐标标定允许进行空间再分析。
数据收集于2018年棉花季节，地点为美国亚利桑那州马里科帕农业研究中心。
通过改进的高清通量喷洒装置和电子采样及数据处理方法，例证了高吞吐量植物表型分析。
数据符合高吞吐量植物表型分析的位置标准化方法。
收集的每周近地传感数据包括六个波长的冠层反射率。
确定了棉籽和种子产量、首次开花棉桃的生物量和氮的吸收量。
在播种前和收获后，以30厘米为间隔，确定了土壤剖面中1.8米深度的硝酸盐含量。
使用1升通风室（在0分钟、12分钟和24分钟取样）确定了氧化亚氮排放。
通过气相色谱法（电子检测器）确定了氧化亚氮。