Precision agriculture using remote monitoring systems in Brazil

R. Maia, I. Netto, A. Tran
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引用次数: 53

Abstract

Soil and nutrient depletion from intensive use of land is a critical issue for food production. An understanding of whether the soil is adequately treated with appropriate crop management practices in real-time during production cycles could prevent soil erosion and the overuse of natural or artificial resources to keep the soil healthy and suitable for planting. Precision agriculture traditionally uses expensive techniques to monitor the health of soil and crops including images from satellites and airplanes. Recently there are several studies using drones and a multitude of sensors connected to farm machinery to observe and measure the health of soil and crops during planting and harvesting. This paper describes a real-time, in-situ agricultural internet of things (IoT) device designed to monitor the state of the soil and the environment. This device was designed to be compatible with open hardware and it is composed of temperature and humidity sensors (soil and environment), electrical conductivity of the soil and luminosity, Global Positioning System (GPS) and a ZigBee radio for data communication. The field trial involved soil testing and measurements of the local climate in Sao Paulo, Brazil. The measurements of soil temperature, humidity and conductivity are used to monitor soil conditions. The local climate data could be used to support decisions about irrigation and other activities related to crop health. On-going research includes methods to reduce the consumption of energy and increase the number of sensors. Future applications include the use of the IoT device to detect fire in crops, a common problem in sugar cane crops and the integration of the IoT device with irrigation management systems to improve water usage.
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巴西使用远程监控系统的精准农业
土地集约利用造成的土壤和养分枯竭是粮食生产的一个关键问题。了解在生产周期中是否采用适当的作物管理措施对土壤进行了充分的实时处理,可以防止土壤侵蚀和过度使用自然或人工资源,以保持土壤健康和适合种植。精准农业传统上使用昂贵的技术来监测土壤和作物的健康状况,包括来自卫星和飞机的图像。最近有几项研究使用无人机和连接到农业机械的大量传感器来观察和测量种植和收获期间土壤和作物的健康状况。本文介绍了一种用于监测土壤和环境状态的实时、原位农业物联网(IoT)设备。该设备被设计为兼容开放式硬件,由温湿度传感器(土壤和环境)、土壤电导率和亮度、全球定位系统(GPS)和用于数据通信的ZigBee无线电组成。田间试验包括土壤测试和巴西圣保罗当地气候的测量。土壤温度、湿度和电导率的测量用于监测土壤状况。当地气候数据可用于支持有关灌溉和其他与作物健康有关活动的决策。正在进行的研究包括减少能源消耗和增加传感器数量的方法。未来的应用包括使用物联网设备来检测农作物的火灾,这是甘蔗作物的一个常见问题,以及将物联网设备与灌溉管理系统集成以改善用水。
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