Implementing IoT for Efficient Water Management in Agriculture

Categories: ScienceTechnology

Abstract

In India water lifting is the major problem people living near by lakes and dams use the water of lakes and dams without the permission of the government they have to go to the dams to operate the motors for water lifting similarly the amount of water to be utilized by them is more than what the government has decided for each motor. They use the electricity of irrigation offices and don’t even pay the bills for electricity or service fees.

So to reduce this things from happening we are creating a system which will be operated from homes and they will be charged for the amount of water and electricity they are going to use.

In this system we will have a wirelessly operated motor which can be operated from remote location also. Other than this the amount of electricity and water they are using the bill will be charged to them which will also be send on the application as well.

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If the user does not pay the bill the system will stop and he could not use the motor. So this system will help the people utilize only that much what the government has decided and they will only have to pay minimal amount for that.

Introduction

In what is labelled as the “Global Water Crisis”, UN and the World Bank released predictions of scarcity of clean water resources and as a corollary, the calamitous effect on agriculture as the demand increases, what now with extended periods of hot weather and droughts Inevitably, the effect will ripple over across the quality of life people lead in areas with direct contact to the cultivated lands as well as areas who depend marginally on them to supply their food production.

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The world’s demand for water is likely to surge in the next few decades where rapidly growing population will drive increased consumption by people, farms, and companies. Water availability of regions naturally liable to dryness like the Arabian Peninsula are expected to drop by half in the next 25 years include raising the price to pose such restrictions.

However, while this helps conserve water when resources are depleting, it does pose a challenge to farmers on how to Micromanage their business to adapt to this change. To add to that, climate change is expected to make some areas drier and others wetter, making the need for proper efficient irrigation management systems all the more necessary Agriculture remains the world’s biggest water consumer, with farming and food production accounting up to 70% of it.With so much water going into the sector, one would expect an over-abundance of water resources dedicated to agriculture.

Methodology

IDEA Matrix

There has been rapid advancement in wireless communications and networks. Cognitive Radio is a smart, adaptive radio and network technology that is capable of detecting available channels in a wireless spectrum automatically and modify transmission parameters; enabling greater communications to run in parallel and also improve the behaviour of radio operation. Cognitive radios (CRs) have been proposed as an up-and-coming solution to enhance spectrum utilization by means of opportunistic spectrum sharing. There are various issues in CRN such as primary signal sensing, jamming attack, overlapping of secondary users, etc. Various measures to counteract these have been given such as energy-based sensing, location consistency checks, Nash equilibrium techniques, etc.

In a CR network, primary (licensed) users are given priority over secondary (unlicensed) users while accessing the wireless channel. Thus, if a virulent secondary user exploits this spectrum access convention by imitating the spectral characteristics of a primary user, it can gain priority access to a wireless channel over other secondary users. This can be detected using RSS (Received Signal Strength) technique. The idea framework for CR project is depicted in gure. CR has increased the

Usage of spectrum. When the spectrum is not being used by the primary user it will be used by secondary user. In this way, we are avoiding wastage. CR contains the malicious attacker which are being detected by the system and access to malicious user will be ignored. It improves the e ciency of network by avoiding the malicious user (PUEA).In previous system the frequency band used to remain idle. This system has overcome the problem and decreased the idle time of system by dynamic allocation. Ultimately it evaluates the ratio of usage of frequency bands.

Existing System

In Drinking water treatment plant (DWTP), mainly those that are in the rural area, your pumping operations are done manually. However, the consequences of a human error in these tasks can be: waste of water (vital resource) and energy consumed by the pumping system, and shortages from the DWTP to users. This demonstrates the need to design a low-cost technological architecture for the automation of the water pumping and storage system applied to DWTP. As a result of the project, a prototype was developed with electronic components compatible with the IoT paradigm, and it was applied in the purification stage of the DWTP of the city of Catamayo.

To evaluate the operation of the prototype of the automation system, data was obtained from the input / output variables, for 24 hours every 6 seconds. The variables simultaneously acquired in field tests were: minimum level status, maximum level status, pump activation status, and manual / automatic mode of operation. With the signals, it was possible to confirm the correct logic of the pump drive and the high efficiency of the communication system.

System Architecture

We are introducing a smart system by using the IOT technology that allow farmers to operate motor by mobile devices form anywhere, Other than this the amount of electricity and water they are using the bill will be charged to them which will also be send on the application as well. If the user does not pay the bill the system will stop and he could not use the motor. So this system will help the people utilize only that much what the government has decided and they will only have to pay minimal amount for that.

Advantages of Proposed System:

  • Centralized management system
  • Reliable
  • Scalable
  • Online Payment
  • Motor Automation and tracking

Mathematical Modelling

The system can be represented as S = (I, O, F), where:

  • I = {Start (S), End (E), Payment (P), Water Control (WC)} are the inputs.
  • F = {Water calculation (W1), Bill Calculation (BC)} are the functions.
  • O = {Motor Control (O1), Online Payment (OP)} are the outputs.

This model facilitates the automation of water pumps and the calculation of bills based on actual consumption.

Conclusion

The integration of IoT technology in agriculture for water management presents a viable solution to the global water crisis. It allows for efficient water usage, adherence to regulatory guidelines, and simplifies the billing process, making it economically beneficial for both the government and the farmers.

References

  1. L. Herrería, J. Baquero, "Diseño e implementations Del Sistema de automatization de la planta de-tratamiento de agua LosÁlamos y sus tanques de distribution", B.S. thesis, EPN, Quito, Ecuador, jun. 2016.
  2. M. A. Cervantes, F. J. Recendez, Á. I. Vargas, "Modernization del Sistema de control para el tratamiento de agua de la plantala Purisima no. 5 del scam", B.S. thesis, IPN, México D.F., México, jun. 2011.
  3. L. V. Jácome López, "Automatization del bombeo de agua a travels Del control de nivel de la cisterna de la Estacio Miraflores EP-EMAPA", B.S. thesis, UTA, Ambato, Ecuador, Jul. 2015.
  4. C. Calderon-Cordova, L. Quichimbo, F. Reyes, "Development of hardware architecture applied to real-time monitoring in drinking water distribution system of the Loja city", 2016 11th Iberian Conference on Information Systems and Technologies(CISTI), Gran Canarias, 2016, pp. 1-8.
Updated: Feb 17, 2024
Cite this page

Implementing IoT for Efficient Water Management in Agriculture. (2024, Feb 17). Retrieved from https://studymoose.com/document/implementing-iot-for-efficient-water-management-in-agriculture

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