【新书推荐】【2021】智能农业：深度学习、机器学习和物联网的新兴方法

本书致力于突出智能农业的创新和农业部门扩大未开发的潜力。

This book endeavours to highlight the untapped potential of Smart Agriculture for the innovation and expansion of the agriculture sector.

通过人工智能、深度学习和物联网应用，随着时间的推移，从数据之间的关联中学习，将取得渐进的进展。

The sector shall make incremental progress as it learns from associations between data over time through Artificial Intelligence, deep learning and Internet of Things applications.

农业产业和智慧农业是从农场所在地的严格限制发展而来的，这反过来又对供应链管理、粮食供应、生物多样性、农民决策和保险以及环境问题等产生一系列相关影响。

The farming industry and Smart agriculture develop from the stringent limits imposed by a farm’s location, which in turn has a series of related effects with respect to supply chain management, food availability, biodiversity, farmers’ decision-making and insurance, and environmental concerns among others.

在将可使用的系统、工具和技术设计成能够处理的数据、种类的情况下，实施数据驱动的方法将使上述所有方面获得实质性的好处。

All of the above-mentioned aspects will derive substantial benefits from the implementation of a data-driven approach under the condition that the systems, tools and techniques to be used have been designed to handle the volume and variety of the data to be gathered.

征集这本书贡献的目的是揭示利用设备和有效的深度学习算法从事农业的可能性。

Contributions to this book have been solicited with the goal of uncovering the possibilities of engaging agriculture with equipped and effective profound learning algorithms.

大多数农业研究中心已经采用物联网来监测各种各样的农业服务，通过有效实施机器学习、深度学习、大数据和物联网结构，农业管理有着重大机遇。

Most agricultural research centres are already adopting Internet of Things for the monitoring of a wide range of farm services, and there are significant opportunities for agriculture administration through the effective implementation of Machine Learning, Deep Learning, Big Data and IoT structures.

更多精彩文章请关注公众号：

标签：data,农业,和物,学习,2021,联网,agriculture
来源： https://blog.csdn.net/weixin_42825609/article/details/112201189