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Low cost IoT solutions for agricultures fish farmers in Afirca:a case study from Burkina Faso

机译:非洲农业鱼农的低成本物联网解决方案:以布基纳法索为例

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In this paper, we share our experience of the deployment of a sensor network. This sensor network was deployed at the Aquaculture and Aquatic Biodiversity Research Unit (UR-ABAQ) at NAZI BONI University. The deployed sensors - permanently monitor the pH, dissolved oxygen and water temperature of a clarias (a fish species) hatchery - measure the soil moisture of banana and papaya fields - and finally measure the meteorological parameters (wind speed, air humidity, rainfall, sunshine...) of the laboratory site. The hatchery parameters collected make it possible to control the mortality of fry (sending of SMS alerts, twitter, facebook in case of exceeding the threshold of certain parameters). The soil moisture collected will optimize the watering of the fields by the water rich in fertilizers produced by the fish of the aquacultural ponds. Finally, the weather parameters will make it possible to determine the correlations between the weather parameters and the production of the banana and papaya fields. The data collected is sent on a cloud platform through a gateway equipped with a LoRa antenna and a 3G MoDem. The sensors communicate with a radio wave to the gateway using also LoRa technology. These energy-efficient sensors are equipped with a solar power supply and a LoRa radio antenna that can transmit 15 km in rural areas.
机译:在本文中,我们分享了传感器网络部署的经验。该传感器网络已在NAZI BONI大学的水产养殖和水生生物多样性研究组(UR-ABAQ)部署。部署的传感器-永久监控枝叶孵化场的pH值,溶解氧和水温-测量香蕉和木瓜田的土壤湿度-最终测量气象参数(风速,空气湿度,降雨,日照) ...)的实验室现场。收集的孵化场参数可以控制鱼苗的死亡率(在超过某些参数阈值的情况下发送SMS警报,twitter,facebook)。所收集的土壤水分将通过富含水产养殖池塘鱼类产生的肥料的水来优化田间浇水。最后,天气参数将使确定天气参数与香蕉和木瓜田产量之间的相关性成为可能。收集的数据通过配备LoRa天线和3G MoDem的网关在云平台上发送。传感器还使用LoRa技术将无线电波与网关通信。这些节能传感器配备了太阳能电源和LoRa无线电天线,可以在农村地区传输15 km。

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