数字村庄:小农场精准农业的数据驱动方法

R. Fishman, M. Ghosh, Amit Mishra, Shmuel Shomrat, Meshi Laks, Roy Mayer, Aakash Jog, E. Ben-Dor, Y. Shacham-Diamand
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引用次数: 3

摘要

一种对小农农场进行系统监测的方法。该系统将基于低成本的移动设备(即物联网,电话)直接从农场收集和传输数据。物联网信息将与可用和免费获取的卫星数据合并,形成接近实时的主题图像,提供给最终用户。它将为发展中国家与小农一起工作的低技术素养的人提供服务。利用基于我们各自学科专长的综合跨学科行为技术方法的新颖性,以及通过合作伙伴关系在实地进行大规模试点和实施的能力,使我们能够对发展中国家的小农种植和革命性的农业推广获得新的见解。为了实现整体综合精准农业网络(HIPAN)的目标,印度的实验农场已经建立了三个网络:用于“地面”传感的无线网络、基于卫星多光谱成像数据的虚拟网络和收集农民投入的社交网络。三个网络融合在一起,使用云支持的数据分析处理数据;结果直观地传递给农民以及组织和公司,以供他们使用
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Digital Villages: A Data-Driven Approach to Precision Agriculture in Small Farms
An approach for system monitoring of smallholder farms. The system will be based on low-cost mobile units (i.e. IoTs, phones) collecting and transmitting data directly from the farms. The IoT information will be merged with available and free access satellite data to form near real-time thematic images to the end-users. It will serve people with low technical literacy who are working with smallholders in developing countries. The novelty of using an integrated interdisciplinary behavioral-technological approach that builds on our respective disciplinary expertise, and the ability to pilot and implement at scale through partnerships, on the ground, allowing gaining new insights into smallholder cultivation and revolutionizing agricultural extension in the developing world. To achieve that goal of Holistic Integrated Precision Agriculture Network (HIPAN) three networks have been established in experimental farms in India: wireless network for “on-the-ground” sensing, virtual network with satellite multispectral imaging-based data and social network collecting the farmers’ inputs. The three networks are fused together and the data is processed using a cloud supported data analysis; the results are visually transferred to the farmers as well as to organizations and companies for their
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