The Bronson Files, Dataset 4, Field 105, 2013

Dr. Kevin Bronson provides this unique nitrogen and water management in wheat agricultural research dataset for compute. Ten irrigation treatments from a linear sprinkler were combined with nitrogen treatments. This dataset includes notation of field events and operations, an intermediate analysis mega-table of correlated and calculated parameters, including laboratory analysis results generated during the experimentation, plus high resolution plot level intermediate data tables of SAS process output, as well as the complete raw sensors records and logger 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 wheat 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 2013 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, where the first cluster sensor bracket design and rickshaw inspired operator's handle were successfully employed.
SAS and GIS compute processing output tables, including Excel formatted examples are presented, where intermediate 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.
Ten levels gradient irrigation application from linear move sprinkler system were applied.
Soil physical texture and fertility chemistry results are available.
Yield and seed information is presented.

Dr. Kevin Bronson向计算领域贡献了这一独特的氮与水管理在小麦农业研究数据集。该数据集将来自线性喷灌系统的十种灌溉处理与氮处理相结合。其中包含田间事件和操作的标注，相关性及计算参数的中级分析巨表，包括实验过程中生成的实验室分析结果，以及SAS处理输出的高分辨率地块级中间数据表，以及完整的原始传感器记录和记录器输出。该数据收集于我国农业部Maricopa陆地近红外高吞吐量植物表型三参数方法生成期的初期，在此阶段，我们近红外传感车Mark1（PSCM1）平台取代了携带CropCircle（CC）传感器的人员，并实现了改进的视图机械性能。详见所附README文件，获取操作细节和测量数据的进一步描述。总结如下：展示了活动光学近红外小麦冠层空间数据及其包括热等相关指标的附加数据。列出了与农艺氮和灌溉管理相关的田间操作。提供了独特研究实验中级分析表以及原始数据。提供了原始数据记录和标注的表格输出，包括计算出的VI。地块多边形坐标标识允许进行空间再分析。数据收集于2013年赛季，地点位于美国亚利桑那州Maricopa农业中心。通过电子采样与数据处理方法示例了高吞吐量近红外植物表型。使用美国农业部Maricopa第一移动平台，如近红外传感车Mark1，成功采用了首次集群传感器支架设计和手推车启发的操作手柄。展示了SAS和GIS计算处理输出表，包括Excel格式示例，其中提供了中间数据编排和分析。每周收集的近红外传感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热电偶温度测量。应用了来自线性移动喷灌系统的十个级别梯度灌溉。提供了土壤物理质地和肥力化学结果。展示了产量和种子信息。