The Bronson Files, Dataset 1, Field 17, 2012

Dr. Kevin Bronson provides this unique nitrogen and water management in cotton agricultural research dataset for compute, including notation of field events and operations, an intermediate analysis mega-table of correlated and calculated parameters generated during the experimentation, high resolution plot level data intermediate analysis tables, plus SAS process output intermediate tables, as well as the complete raw sensor recorded outputs.
This data was collected during the beginning time period of our USDA Maricopa terrestrial proximal high-throughput plant phenotyping tri-metric method generation, where a 5Hz crop canopy height, temperature and spectral signature are recorded coincident to indicate a plant health status. In this early development period, our Proximal Sensing Cart Mark1 (PSCM1) platform supplants people carrying the CropCircle (CC) sensors, and with an improved view mechanical performance result.
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 such as thermal 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 2012 season at Maricopa Agricultural Center, Arizona, USA.
High throughput proximal plant phenotyping via electronic sampling and data processing method approach is exampled.
Acquired data using USDA Maricopa first mobile platforms, such as the Proximal Sensing Cart Mark 1, and via people.
SAS and GIS compute processing output tables, including Excel formatted examples are presented, where data tabulation and analysis is available.
The weekly proximal sensing data collected include canopy reflectance at six wavelengths, ultrasonic distance sensing of canopy height, and infrared thermometry. Lint and seed yields, first open boll biomass, and nitrogen uptake were 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 20 or more weeks in the season with 1-L vented chambers (samples taken at 0, 12, and 24 minutes). Nitrous oxide was determined by gas chromatography (electron detection detector).

Dr. Kevin Bronson提供了这一独特的氮肥与水分管理在棉花农业研究数据集，该数据集涵盖了计算所需的字段事件与操作标注，实验过程中生成的相关且计算得出的参数的中级分析巨型表格，高分辨率地块水平数据中级分析表格，以及SAS处理输出中级表格，以及完整的原始传感器记录输出。该数据收集于我国农业部马里科帕陆地近缘高通量植物表型三参数方法生成初期阶段，记录了5Hz的作物冠层高度、温度和光谱特征，以指示植物健康状况。在此早期发展阶段，我们的近缘感知车Mark1（PSCM1）平台取代了携带作物圆圈（CC）传感器的人员，并实现了改进的视角机械性能。详见所附README文件，以获取操作细节和测量数据的进一步描述。

摘要：

展示了活跃的光学近缘棉花冠层传感空间数据，以及包括热学等附加相关指标的呈现。

列出了农学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级分析表格，以及原始数据。

提供了原始数据记录，以及标注的表格输出与计算出的植被指数。

地块多边形坐标标注允许进行空间分析的重交。

数据收集于2012年在美国亚利桑那州马里科帕农业中心的季节。

通过电子采样与数据处理方法的高通量近缘植物表型是本研究的实例。

使用美国农业部马里科帕首个移动平台，如近缘感知车Mark1，以及人工收集数据。

展示了SAS和GIS计算处理输出表格，包括Excel格式的示例，其中提供了数据整理和分析。

每周收集的近缘感知数据包括六波长的冠层反射率、冠层高度的超声波距离传感和红外温度测量。此外，还确定了棉短绒和种子产量、首次开裂的花球生物量和氮的吸收。在种植前和收获后，以30厘米的间隔确定了土壤剖面中1.8米深度的硝酸盐含量。在季节中，通过20周以上的1升排气室（在0、12和24分钟时取样）确定了氧化亚氮排放。氧化亚氮通过气相色谱法（电子检测器）进行测定。