智能农业数据分析的设计与开发

S. Marjudi, Roziyani Setik, Mohamad Aizi Salamat, Muhammad Fahruddin Irfan Yusfaidir
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引用次数: 0

摘要

农业即将进入智能农业时代,农业运营将实现数字化和数据驱动,从而实现更好的决策支持、智能分析和预测。农业是最多样化的经济部门,对一个国家的整体经济发展至关重要。物联网(IoT)可以通过技术减少人力,从而优化农业和农业部门的活动。预报对大多数农业和与农业有关的业务至关重要。智能农业数据分析(SADA)就是为了解决这个问题而开发的。SADA是一个嵌入式系统,由两个部分组成:数据分析和物联网(IoT)。SADA中的物联网还帮助农民收集数据并了解更多有关适当土壤PH值、肥料数据集、空气湿度和温度的信息。在软件开发中使用原型模型。农民可以提供实时反馈、请求项目变更和更新模型规范。SADA将帮助农民了解分析作物生产的趋势,使他们能够提高产量
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The Design and Development of Smart Agriculture Data Analytics
Agriculture is on the verge of entering the Smart Farming era, in which farming operations will become digitalized and data-driven, allowing for better decision support, smart analytics, and forecasting. Farming is the most diverse economic sector and is critical to a country's overall economic development. The Internet of Things (IoT) can potentially optimize agriculture and farming sector activities by reducing manpower through technology. Forecasts are central to most agricultural and agricultural-related operations. Smart Agriculture Data Analytics (SADA) was developed to address this issue. SADA is an embedded system with two components: data analytics and the Internet of Things (IoT). IoT in SADA also assists farmers in collecting data and learning more about the appropriate soil PH scale, fertilizer dataset, air humidity, and temperature. A prototyping model is used in software development. The farmer can provide real-time feedback, request project changes, and update model specifications. SADA will help farmers understand the trend of analytics crop production, allowing them to increase yield
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