Modern Trends in the Development of Smart Agriculture Projects

Hassan Abd El Kareem Gomaa
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引用次数: 1

Abstract

: Smart agriculture projects have become increasingly prominent in recent years, harnessing cutting-edge technologies to revolutionize the agricultural sector. This abstract provides an overview of the modern trends in the development of smart agriculture projects. The advent of Internet of Things (IoT) and sensor technology has played a pivotal role in smart agriculture. Sensors deployed in agricultural settings collect real-time data on parameters like temperature, humidity, and soil moisture. This data is transmitted through IoT networks, enabling remote monitoring and management of farming operations, leading to improved decision-making and resource optimization. Precision agriculture is another significant trend, utilizing technologies such as GPS, drones, and remote sensing. These tools help farmers analyze field variability and deliver inputs precisely, leading to increased efficiency, reduced resource wastage, and enhanced crop yields. Data analytics and artificial intelligence (AI) have emerged as essential components of smart agriculture. Advanced algorithms and AI models process large datasets to derive valuable insights. Predictive analytics and decision support systems assist in weather forecasting, disease detection, and yield estimation, empowering farmers with data-driven recommendations.
智慧农业项目发展的现代趋势
近年来,智能农业项目日益突出,利用尖端技术彻底改变农业部门。本摘要概述了智能农业项目发展的现代趋势。物联网(IoT)和传感器技术的出现在智慧农业中发挥了关键作用。部署在农业环境中的传感器收集温度、湿度和土壤湿度等参数的实时数据。这些数据通过物联网网络传输,实现了对农业经营的远程监控和管理,从而改善了决策和资源优化。精准农业是另一个重要趋势,利用GPS、无人机和遥感等技术。这些工具可帮助农民分析田间变化并精确交付投入物,从而提高效率,减少资源浪费,提高作物产量。数据分析和人工智能(AI)已经成为智能农业的重要组成部分。先进的算法和人工智能模型处理大型数据集,以获得有价值的见解。预测分析和决策支持系统有助于天气预报、疾病检测和产量估计,为农民提供数据驱动的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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