Fighting World Hunger with Digital Agriculture

With the global population estimated to top 9 billion people by 2050, researchers estimate agricultural output must double to meet the impending demands.

公立和土地授予大学（APLU）国家委员会最近宣布了一项全面的，协调一致的努力，以应对这一挑战，其中包括三名普渡大学领导人。该委员会还强调了建立各种跨学科努力的重要性，例如在惠普企业和普渡大学（Purdue University）之间建立的，这是世界领先的农业学院之一。

To produce food, fuel and fiber more effectively than ever before, Purdue is partnering with HPE to blend research, innovations and disruptive technologies like the Internet of Things (IoT) to revolutionize farming research with digital agriculture.

数字农业如何使这种差异？想象一下，物联网传感器无需手动测量和输入45,000个玉米样品的水分特性数据，而是可以实时测量众多特征，而植物仍在现场，这使得有可能进行立即影响的更改。

"Purdue is the test bed for digital agriculture IoT to enhance discovery and economic development," says Karen Plaut, Ph.D., Interim Dean of the Purdue University College of Agriculture. "We're working to transform agriculture in America and globally."

Terabytes of Data Every Day

数字农业项目总部位于普渡大学的农艺研究中心（ACRE）现场研究站，每天通过使用多种类型的传感器，相机和人类投入来共同捕获数据的trabyt。为了收集，聚集，处理和传输此类数据量回到普渡大学的HPE超级计算机，该大学利用了HPE和Aruba（一家Hewlett Packard Enterprise Company）的无线和边缘计算技术的组合。

它从坚固的户外开始Aruba 270系列访问点andAruba 7000系列移动控制器to supply fast and secure communication and data transmissions. For Wi-Fi visibility and optimization, Purdue utilizes AirWave for streamlined management and troubleshooting, which helps ensure resources stay focused on ag research rather than network administration.

HPE Edgeline IoT系统提供安全，永久的连通性，并具有加速和扩展普渡大学研究结果所需的深度学习分析能力，并以生产能力提供农业突破。

扩展玉米示例，对一种类型的玉米（例如爆米花品种）的典型研究可以解释10种不同的特征。这意味着必须获取和分析来自研究单一类型玉米品种的一组研究人员的450,000个样本的数据。

Multiply this by thousands of research projects addressing issues of food scarcity, safety, traceability, security and sustainable agriculture worldwide and it's easy to see the impact of automating data collection and analysis with HPE and Aruba solutions.

PhenoRover: An Innovative Mobile IoT Platform

使用Aruba和HPE解决方案，研究人员在现场获取和处理数据，将其传达给Acre的世界一流的实验室设施，并使用10Gbps纤维连接将其发送到Purdue数据中心，以使数据传输速率更快1000倍比美国的平均互联网连接

AgTech innovations arising from the partnership thus far include solar-powered mobile Wi-Fi hotspots – providing researchers with high-performance access wherever it's needed on the 1408-acre research farm. Now, instead of taking paper and pencil into a field, writing down measurements, driving them back to a building and keying them into a desktop computer, researchers can simply punch data into a mobile device on-site and it's instantly transferred to the appropriate analytics application in Purdue's supercomputer.

其他创新包括针对农场无线物联网的高速天气塔连接和突破性的明星，这是一个半自动化的移动物联网传感器平台，可衡量作物性能的变化。此外，设计了足够的无线回程，以在整个物业中提供户外无线覆盖范围。

These technologies will replace a host of manual processes, enabling researchers to focus on productive work. For example, IoT-enabled sensors measure atmospheric gasses and transmit the information back to the supercomputer using Wi-Fi, decidedly accelerating access to analysis and actionable insights.

实时无人机图像等

向前迈进，在英亩研究活动中合作的八个学术部门将继续与HPE和Aruba合作以完善技术解决方案。此外，数字农业测试床旨在将AgTech创新推向市场以供商业使用。

Purdue researchers are also building and experimenting with Unmanned Aerial Systems (UAS), often called drones, to advance the effectiveness of plant growth data collection. Currently, drone images are downloaded and then distributed to internal constituencies to study biological relevance. In the future, the drone cameras could transmit real-time images via the HPE Aruba infrastructure for growers to make a sound, science-based decisions.

普渡大学农业学院农业和生物工程副教授Dharmendra Saraswat博士Dharmendra Saraswat博士说：“考虑开发下一个移动应用或可视化工具时，这些想法是无穷无尽的。”“为了为育种者和种植者提供可靠且有用的工具，我们必须擅长新事物，并确定在生产环境中有用的东西。”

普渡大学的研究人员与HPE和Aruba合作，将继续开发数字农业解决方案，这些解决方案加速研究，并最终改变农业以改善全球的粮食供应。

So what next?

如果有一个词，为了总结数字农业的广泛影响，它会受到破坏。进步将推动创新超出农场一级生产收益率和质量的提高。数据收集和分析工作的结果将分布在其他行业，改善运营模型并改善生活。

And that's just the beginning. As more data becomes available, consumers will demand access to digitized food component footprints that will help them far beyond the relatively simplistic label presentations of today. Further, using self-learning algorithms, a person's health profile can be monitored throughout their lifetime with automatic delivery of information regarding safe food items – along with where and how to get them.

Personalized healthcare, improved food component data and safe item recommendations will cause corresponding shifts in purchasing habits that will disrupt other industries, such as retail grocery. For instance, combining the current trend toward online grocery shopping with granular data and analytics capabilities will result in new consumer expectations for shopping sites to correlate food items with a person's health profile before they buy.

数字农业不仅仅是在农场使用深度数据集的关键。这是一种战略性的游戏规则，有可能改善地球上每个人的健康和福祉。

在此了解更多有关普渡大学数字农业计划的信息video。