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首页> 外文期刊>International Journal of Innovative Computing Information and Control >SMCSIS: AN IOT BASED SECURE MULTI-CROP IRRIGATION SYSTEM FOR SMART FARMING
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SMCSIS: AN IOT BASED SECURE MULTI-CROP IRRIGATION SYSTEM FOR SMART FARMING

机译：SMCSIS：智能农业的基于IOT的安全多作物灌溉系统

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摘要

A large amount of freshwater is consumed to irrigate crops. IoT-based automatic irrigation systems are needed to reduce water consumption. Security and privacy issues, factors concerning climate conditions, and real-time soil and air features that affect irrigation control make the development of such system challenging. This study introduces a cloud-connected, secure multi-crop smart irrigation system (SMCSIS) to address the excessive irrigation problem caused by precipitation after irrigation and to reduce water consumption. SMCSIS makes real-time watering decision on the basis of soil moisture predicted at the time of precipitation. The prediction depends on the data captured from soil moisture sensor and climate prediction-based estimated evaporation. An artificial neural network is developed and trained using five factors (air temperature, wind speed and direction, UV, and humidity) captured from online weather forecasting to obtain the estimate evaporation. A database containing the characteristics and irrigation information for each crop is also developed for multi-crop irrigation. Access control and blockchain technologies are used to maintain privacy and data integrity in the system. A prototype has been developed to simulate the system for small farms. Experimental results indicate that SMCSIS is functional, and it provides an effective solution to overcome excessive irrigation.
机译：消耗大量淡水以灌溉作物。需要基于IoT的自动灌溉系统来减少耗水量。安全和隐私问题，有关气候条件的因素，以及影响灌溉控制的实时土壤和空气功能使得这种体系挑战的发展。本研究介绍了云连接，安全的多作物智能灌溉系统（SMCSIS），以解决灌溉后降水引起的过度灌溉问题，并降低耗水量。 SMCSIS在降水时预测的土壤水分进行实时浇水决定。预测取决于从土壤湿度传感器和气候预测的估计蒸发捕获的数据。使用从在线天气预报中捕获的五个因素（空气温度，风速和方向，紫外线和湿度）开发和培训人工神经网络，以获得估算蒸发。还为多作物灌溉制定了包含每个作物特性和灌溉信息的数据库。访问控制和区块链技术用于维护系统中的隐私和数据完整性。已经开发了一种原型来模拟小农场的系统。实验结果表明，SMCSIS是功能性的，它提供了克服过度灌溉的有效解决方案。

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