通过物联网精准农业提高作物产量

Dr. Rashmi Sharma, Vishal Mishra, Suryansh Srivastava
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摘要

农业对农业国家的发展有着重要的影响。印度三分之一的GDP和超过70%的人口依赖农业。这个国家的发展经常受到农业问题的阻碍。解决这个问题的唯一办法是智能农业,它使目前使用的传统农业技术现代化。物联网(IoT)对智慧农业具有许多优势。智能农业是一个新兴的概念,因为物联网设备可以提供有关农业领域的信息。在农业领域,各种物联网传感器可用于跟踪决定生产力的重要因素。基于机器学习模型对土壤氮磷钾值的分析,本文试图为特定领域推荐最佳作物。整个处理过程以收集数据为中心,供农民和其他合作者使用。农业行业的农民和物联网设备正日益弥合数字鸿沟。智能温室,可以有水培和微型水培系统,是物联网的另一个应用。智能温室在城市中变得越来越普遍,因为它们可以跟踪肥料溶液的许多成分,并提高植物的生长、生产力和质量。更加环保的未来粮食生产将增加产量,通过明智地利用水资源和最大限度地提高投入和处理,环境将得到保护。远程监控、决策支持工具、自动灌溉系统、防冻、施肥和其他方法都是智能农业的一部分。物联网技术由硬件、智能软件、集成平台、监控策略、操作系统和云计算组成,使这些过程成为可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing Crop Yields through IoT-Enabled Precision Agriculture
Agriculture has a significant impact on the development of agricultural nations. One-third of India's GDP, and over 70% of its population, are dependent on agriculture. The nation's development has frequently been impeded by agricultural problems. The only solution to this problem is smart agriculture, which modernises the traditional farming techniques now in use. The Internet of Things (IoT) has many advantages for smart agriculture. Smart farming is a newly emerging concept because to IoT devices that may supply information about agricultural areas. In agricultural fields, various IoT sensors can be utilised to track the important factors that determine productivity. Based on a machine learning model's analysis of the soil's NPK value, the paper seeks to suggest the best crops for the particular field. The entire handling is centred on gathering data for usage by farmers and other collaborators. Farmers in the agriculture industry and IoT devices are increasingly bridging the digital divide. Intelligent greenhouses, which can have hydroponic and micro aquaponic systems, are another application for the Internet of Things. Intelligent greenhouses are becoming more prevalent in cities as they allow for the tracking of many components of fertiliser solutions and enhance plant growth, productivity, and quality. Future food production that is more environmentally friendly will increase output, and the environment will be safeguarded by using water wisely and maximising inputs and treatments. Remote monitoring, decision-support tools, automatic irrigation systems, frost prevention, fertilising, and other methods are all part of smart agriculture. IoT technology, which consists of hardware, intelligent software, integration platforms, monitoring strategies, operating systems, and cloud computing, enables these procedures.
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