A Raspberry Pi-Powered IoT Smart Farming System for Efficient Water Irrigation and Crop Monitoring

Gophinath Krishnan, Chong Peng Lean, Chen Li, Kong Feng Yuan, Ng Poh Kiat, M. Reyasudin, Basir Khan
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Abstract

Water irrigation remain as a challenge to supply adequate amount of water to sustain the growth of plant and crops yield along the year in certain part of the world which are heavily affected by climate change. This scenario creates a huge risk toward the world food supply chain. Hence, the application of smart farming system is crucially important now to pave the way for a better the agriculture monitoring system to replace traditional manual monitoring labour by farmers. The smart farming system are usually equipped with environmental stimuli sensing system such as temperature, humidity, soil moisture, light intensity sensing sensors coupled with automation actuators to control the water irrigation rate for the crops in order to save water and at the same time provide adequate water supply for plant growth. The aim of using such smart farming system is to enable higher crops production and less human labour at the same time optimising resources available to minimize cost of farming. Hence, this paper aims to introduce a novel approach of a Raspberry Pi powered IoT smart farming system (ISFS) which can incorporate autonomous monitoring of plant irrigation, temperature, humidity, soil moisture and light intensity, to design a smartphone app that allows users to monitor plantation-related conditions in a user-friendly manner, and to enable automatic control of a drip irrigation system for plants based on data obtained on soil moisture, temperature and sunlight intensity. The proposed prototype with the functionality mentioned is aim to resolve the existing problem and to meet the demand of smart farming application in current era.
用于高效灌溉和作物监测的树莓派物联网智能农业系统
在受气候变化严重影响的世界某些地区,如何提供充足的水以维持植物的生长和农作物的产量仍然是一项挑战。这种情况给世界粮食供应链带来了巨大风险。因此,智能农业系统的应用至关重要,它可以为更好的农业监测系统铺平道路,取代农民传统的人工监测劳动。智能农业系统通常配备有环境刺激传感系统,如温度、湿度、土壤湿度、光照强度传感传感器,再加上自动化执行器,以控制农作物的灌溉水量,从而节约用水,同时为植物生长提供充足的水源。使用这种智能耕作系统的目的是提高作物产量,减少人力,同时优化可用资源,最大限度地降低耕作成本。因此,本文旨在介绍一种由树莓派(Raspberry Pi)驱动的物联网智能农业系统(ISFS)的新方法,该系统可结合对植物灌溉、温度、湿度、土壤水分和光照强度的自主监控,设计一个智能手机应用程序,使用户能够以用户友好的方式监控种植相关条件,并根据获得的土壤水分、温度和光照强度数据自动控制植物滴灌系统。所提出的具有上述功能的原型旨在解决现有问题,满足当今时代对智能农业应用的需求。
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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