Fuzzy inference based irrigation controller for agricultural demand side management

Jaiswal, Supriya; Ballal, Makarand Sudhakar

doi:10.1016/j.compag.2020.105537

Cited by 27 publications

(12 citation statements)

References 23 publications

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“…Drip irrigation yang digunakan dilengkapi dengan teknologi IoT yang akan mengalirkan air sesuai kebutuhan tanaman tomat. Model sistem penyiraman lainnya adalah menggunakan IoT, kemudian data diolah menggunakan metode Fuzzy untuk menghasilkan waktu penyiraman yang akurat [7]. Fuzzy merupakan metode kecerdasan buatan yang banyak digunakan pada berbagai penelitian.…”

Section: Pendahuluanunclassified

Sistem Pintar Penyiram Tanaman Menggunakan Teknologi IoT dan Fuzzy Inference System dalam Rangka Mewujudkan Green Campus di UIN Syarif Hidayatullah Jakarta

Anggraini¹,

Vieri²,

Wardhani³

et al. 2022

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In recent years, there has been a change in climate which has had quite a negative impact on various sectors of life. The existence of extreme climate change has become a widely discussed issue, including at the university level. The academic community as agents of change should be an example of sustainable development in the campus environment. One of the efforts to realize the concept of sustainable development is to apply the Green Campus concept. Several indicators in realizing a green campus are campus management policies that are oriented towards environmental management, including activities to save water, paper, and electricity, procurement of Green Open Space (RTH), and waste management by applying the 3R principles (reduce, reuse, recycle). UIN Jakarta currently focuses on the green environment, which focuses on activities related to the conservation and maintenance of environmental quality in all energy and natural resource consumption activities. However, the frequent changes in weather, shifts in the seasons, and the size of the land that must be maintained have made watering plants unable to rely on human labor alone. Moreover, the pandemic conditions in Indonesia have caused almost all employees to work from home, so plant maintenance will be hampered for plant watering activities. In this regard, this research proposes the creation of an automated plant watering system using a Fuzzy Inference System. The experiment was carried out using input from three scenarios including soil moisture sensors, temperature sensors, and rain sensors on the output valve. From the experiments carried out, the expected valve output is in accordance with that produced by the raspberry pi. Such as when the ground is dry, the weather is not raining, and the temperature is moderate, the valve remains on according to the fuzzy rules that have been made. The results of the study noted that this tool was in accordance with what was needed and could operate properly

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Section: Pendahuluanunclassified

Sistem Pintar Penyiram Tanaman Menggunakan Teknologi IoT dan Fuzzy Inference System dalam Rangka Mewujudkan Green Campus di UIN Syarif Hidayatullah Jakarta

Anggraini¹,

Vieri²,

Wardhani³

et al. 2022

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“…Demand side management methodology is implemented to trade off the electricity to consumers with satisfactory schedules [6][7][8][9]. Demand side management is the solution to manage the demand of consumers by flattering the curve.…”

Section: Proposed Solution For Irrigationmentioning

confidence: 99%

Advancement of power generation system by instalment of solar photovoltaic system for multiple wells: A Case Study

Singh

Sharma

Talwariya

2022

J. Phys.: Conf. Ser.

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This paper proposes the solution for electricity issues in agriculture sector of particular location in Rajasthan. The issues reported about the availability of ground water and availability of Electricity from electric Grid. The study proposes a centralized solar photovoltaic system for available nearby open wells, which are being operated by diesel engine pump-sets, which emits greenhouse gases and pollute the environment. The proposed centralized photovoltaic system will provide power for submersible pump sets. The additional available power can be stored in batteries, utilized for charging the batteries of electrical vehicles or sell back to electric grid. This paper shows the cost analysis for proposed systems that can be applied and effective centralized solar photovoltaic system in the area considered for study. Centralized solar photovoltaic generation supply to different consumers in different slots and may increase the conflict between consumers, demand side management provide suitable solution to consumers is proposed and analyse in future work.

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“…Ali et al [29] and Tiglao et al [30] considered the use of IoT and mesh WSN in designing an irrigation system. Jaiswal and Ballal [31] proposed an automated drip irrigation system using real-time fuzzy inference method and WSN implemented in LabVIEW. In [32], a monitoring and control irrigation system was proposed based on multi agent system.…”

Section: Smart Irrigation System Based On Wsnmentioning

confidence: 99%

Review on cyber-security for optimized and smart irrigation systems

Abdulaziz

Croock

2022

TELKOMNIKA

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It is well known that the resources in agriculture are considered the most important factors for success. Therefore, numerous researchers are involved in the field of managing these resources, particularly water and consumed power. Moreover, the security side of these resources is considered, particularly the cyber-attacks. In this project, an optimized resource management method is proposed for allocating the available resources in a smart on-demand way. The proposed method is applied for dripped and sprinkler irrigation systems for managing the available water and generated power. In addition, an optimization method is utilized to obtain reliable solutions for managing the adopted resources. This method adopts a cyber security algorithm for preventing any possible attack. Wireless sensor network (WSN) is used as a reading source, in which the underlying area is covered well, since using sensors in irrigation systems is cost-effective that ensures on-demand irrigation process to save water and power resources. This network is supported by the fault tolerance method to increase availability.

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Fuzzy inference based irrigation controller for agricultural demand side management

Cited by 27 publications

References 23 publications

Sistem Pintar Penyiram Tanaman Menggunakan Teknologi IoT dan Fuzzy Inference System dalam Rangka Mewujudkan Green Campus di UIN Syarif Hidayatullah Jakarta

Sistem Pintar Penyiram Tanaman Menggunakan Teknologi IoT dan Fuzzy Inference System dalam Rangka Mewujudkan Green Campus di UIN Syarif Hidayatullah Jakarta

Advancement of power generation system by instalment of solar photovoltaic system for multiple wells: A Case Study

Review on cyber-security for optimized and smart irrigation systems

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