An Approach of Reviving Papaya Production in Fiji using Renewable Energy Powered Optimised Smart Irrigation

R. Mudliar, K. Mamun, F. Islam, M. Cirrincione
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引用次数: 1

Abstract

The Papaya industry is one of the biggest agro-trade industries in Fiji. It is however losing its popularity due to various factors of which energy and irrigation are crucial ones. A cost effective irrigation system integrated with Renewable energy would be the answer to support the papaya industry in Fiji. Farms are located in remote places where the grid connectivity is mostly unavailable for irrigation. Moreover a lot of water wastage occurs in the land during farming practices, due to traditional methods of irrigation, consequently increasing energy usages. The proposed idea will mainly focus on a solar powered irrigation system which will also give the farmers remote access to monitor the soil condition for the plant using sensor networks. The operation of the sensor networking system is based on feedback control algorithm. Crops can be irrigated once the water requirements arise from moisture sensors via microcontroller. Moisture sensor signals will be cross checked with the real time weather observation module signals to minimize the unnecessary watering of the crops at a cost effective manner called optimized irrigation. Optimized irrigation is one of the powerful sources to monitor uninterruptedly and habitually using renewable energy, smart and water management schemes to increase agro-production. This paper presents possible reasons for down growth of the papaya production in Fiji and proposes a method of reviving the production by using an optimized smart irrigation to conserve electricity and saving water resulting a reliable and efficient irrigation system for many Pacific Island Countries.
利用可再生能源驱动的优化智能灌溉恢复斐济木瓜生产的方法
木瓜产业是斐济最大的农产品贸易产业之一。然而,由于能源和灌溉是至关重要的各种因素,它正在失去其受欢迎程度。结合可再生能源的具有成本效益的灌溉系统将是支持斐济木瓜产业的答案。农场位于偏远地区,那里的电网连接大多无法用于灌溉。此外,由于传统的灌溉方法,在耕作过程中土地上发生了大量的水浪费,从而增加了能源消耗。提出的想法将主要集中在太阳能灌溉系统上,这也将使农民能够通过传感器网络远程监测植物的土壤状况。传感器网络系统的运行是基于反馈控制算法的。通过微控制器的湿度传感器,一旦需要水分,就可以灌溉作物。湿度传感器信号将与实时天气观测模块信号交叉核对,以一种称为优化灌溉的经济有效的方式,最大限度地减少作物不必要的浇水。优化灌溉是监测不间断和习惯性使用可再生能源、智能和水管理方案以增加农业生产的有力来源之一。本文提出了斐济木瓜产量下降的可能原因,并提出了一种恢复生产的方法,通过使用优化的智能灌溉来节省电力和水资源,从而为许多太平洋岛屿国家提供可靠和高效的灌溉系统。
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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