11月6日，中国通信标准化协会（CCSA）物联网（TC10）第二十三次全会在许昌召开。在当天的“5G与C-V2X研讨会”上，中国联通携手中兴通讯(ZTE Corporation， 0763.HK / 000063.SZ)并协同其他厂家正式发布了《“物联网+区块链”应用与发展白皮书》。
该白皮书由CCSA TC10 物联网区块链子工作组组织研究与制订，经过子工作组的区块链专家们的深入研讨与修订，最终完成并向业界发布。白皮书基于对区块链技术特点、产业情况、与物联网融合的分析，从区块链对物联网网络发展的促进、对物联网平台能力的提升等方面进行了阐述，梳理了区块链赋能物联网行业的各领域应用案例，对区块链与物联网融合发展提出了建议。
The large data size and dimensionality of hyperspectral data demands complex processing and data analysis. Multispectral data do not suffer the same limitations, but are normally restricted to blue, green, red, red edge, and near infrared bands. This study aimed to identify the optimal set of spectral bands for nitrogen detection in grape leaves using ensemble feature selection on hyperspectral data from over 3,000 leaves from 150 Flame Seedless table grapevines. Six machine learning base rankers were included in the ensemble: random forest, LASSO, SelectKBest, ReliefF, SVM-RFE, and chaotic crow search algorithm (CCSA). The pipeline identified less than 0.45% of the bands as most informative about grape nitrogen status. The selected violet, yellow-orange, and shortwave infrared bands lie outside of the typical blue, green, red, red edge, and near infrared bands of commercial multispectral cameras, so the potential improvement in remote sensing of nitrogen in grapevines brought forth by a customized multispectral sensor centered at the selected bands is promising and worth further investigation. The proposed pipeline may also be used for application-specific multispectral sensor design in domains other than agriculture.