基于智能农业原理的模型，以减轻霜冻影响并提高Cundiboyacense高原的农业生产

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2022-01-01 DOI:10.2478/ijssis-2022-0006

Carlos A. Toledo, A. M. Villegas, Luz A. Muñoz

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引用次数: 0

摘要

摘要本文提出了一种基于智能农业技术的模型来减轻霜冻的影响，霜冻是严重影响Cundiboyacense高原农业生产的现象之一。该模型的基础是来自实时环境信息的数据，以生成预测和警报，用于激活灌溉或化肥系统，并在决策过程中帮助农民。如果采用该模式，尽管会遇到一些投资、文化和可及性障碍，但其长期经济和产品质量效益将更高。

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Model based on the principles of smart agriculture to mitigate the effects of frost and improve agricultural production in the Cundiboyacense plateau

Abstract In this article, a model was proposed based on Smart Agriculture technologies to mitigate the effects of frost, which is one of the phenomena that significantly affects the Cundiboyacense plateau agricultural production. The basis of this model is data from real-time environmental information to generate forecasts and alerts that would be used to activate irrigation or fertilizer systems and help farmers in the decision-making process. Despite encountering some investment, cultural and accessibility barriers if the model is applied, it is intended that the long-term economic and product quality benefits would be higher.

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来源期刊

International Journal on Smart Sensing and Intelligent Systems ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

2.70

自引率

8.30%

发文量

审稿时长

8 weeks

期刊介绍： nternational Journal on Smart Sensing and Intelligent Systems (S2IS) is a rapid and high-quality international forum wherein academics, researchers and practitioners may publish their high-quality, original, and state-of-the-art papers describing theoretical aspects, system architectures, analysis and design techniques, and implementation experiences in intelligent sensing technologies. The journal publishes articles reporting substantive results on a wide range of smart sensing approaches applied to variety of domain problems, including but not limited to: Ambient Intelligence and Smart Environment Analysis, Evaluation, and Test of Smart Sensors Intelligent Management of Sensors Fundamentals of Smart Sensing Principles and Mechanisms Materials and its Applications for Smart Sensors Smart Sensing Applications, Hardware, Software, Systems, and Technologies Smart Sensors in Multidisciplinary Domains and Problems Smart Sensors in Science and Engineering Smart Sensors in Social Science and Humanity