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支持作物生产的地球传感器:当前的应用和用户需求。

Geosensors to support crop production: current applications and user requirements.

机构信息

Plant Production Research, MTT Agrifood Research Finland, Latokartanonkaari 10, 00790 Helsinki, Finland.

出版信息

Sensors (Basel). 2011;11(7):6656-84. doi: 10.3390/s110706656. Epub 2011 Jun 27.


DOI:10.3390/s110706656
PMID:22163978
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3231660/
Abstract

Sensor technology, which benefits from high temporal measuring resolution, real-time data transfer and high spatial resolution of sensor data that shows in-field variations, has the potential to provide added value for crop production. The present paper explores how sensors and sensor networks have been utilised in the crop production process and what their added-value and the main bottlenecks are from the perspective of users. The focus is on sensor based applications and on requirements that users pose for them. Literature and two use cases were reviewed and applications were classified according to the crop production process: sensing of growth conditions, fertilising, irrigation, plant protection, harvesting and fleet control. The potential of sensor technology was widely acknowledged along the crop production chain. Users of the sensors require easy-to-use and reliable applications that are actionable in crop production at reasonable costs. The challenges are to develop sensor technology, data interoperability and management tools as well as data and measurement services in a way that requirements can be met, and potential benefits and added value can be realized in the farms in terms of higher yields, improved quality of yields, decreased input costs and production risks, and less work time and load.

摘要

传感器技术具有时间测量分辨率高、实时数据传输以及能够显示现场变化的传感器数据空间分辨率高等特点,有望为作物生产带来附加值。本文探讨了传感器和传感器网络在作物生产过程中的应用,以及从用户的角度来看它们的附加值和主要瓶颈是什么。重点是基于传感器的应用以及用户对它们的要求。本文回顾了文献和两个用例,并根据作物生产过程对应用进行了分类:生长条件感应、施肥、灌溉、植物保护、收获和车队控制。传感器技术的潜力在整个作物生产链中得到了广泛认可。传感器的用户需要易于使用且可靠的应用程序,这些应用程序在合理的成本下可以在作物生产中付诸行动。挑战在于以满足需求的方式开发传感器技术、数据互操作性和管理工具,以及数据和测量服务,从而在农场中实现更高的产量、提高产量质量、降低投入成本和生产风险,以及减少工作时间和工作量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dff/3231660/c7c8efa77153/sensors-11-06656f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dff/3231660/f79c0424d5bf/sensors-11-06656f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dff/3231660/c7c8efa77153/sensors-11-06656f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dff/3231660/f79c0424d5bf/sensors-11-06656f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dff/3231660/c7c8efa77153/sensors-11-06656f2.jpg

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[1]
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[2]
Wireless in-situ Sensor Network for Agriculture and Water Monitoring on a River Basin Scale in Southern Finland: Evaluation from a Data User's Perspective.

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[3]
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[4]
A review of wireless sensor technologies and applications in agriculture and food industry: state of the art and current trends.

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[5]
Qualification of a Plant Disease Simulation Model: Performance of the LATEBLIGHT Model Across a Broad Range of Environments.

Phytopathology. 2005-12

[6]
Development of an integrated wireless sensor network micro-environmental monitoring system.

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[7]
2020 computing: everything, everywhere.

Nature. 2006-3-23

[8]
Agricultural sustainability and intensive production practices.

Nature. 2002-8-8

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