Techno-Economic-Environment Analysis of Solar PV Smart Microgrid for Sustainable Rural Electrification in Agriculture community

Desai, Alpesh; Mukhopadhyay, Indrajit; Ray, Abhijit

doi:10.1109/pvsc43889.2021.9518454

Cited by 9 publications

(3 citation statements)

References 7 publications

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“…Desai, et.al, [1] proposed a method of greenhouse technology in agriculture to automation, information technology direction with the IOT (internet of Things) technology rapid development and wide application. In the method, control networks and information networks integration of IOT technology has been studied based on the actual situation of agricultural production.…”

Section: Related Workmentioning

confidence: 99%

Implement Smart Farm With Iot Technology

2023

IJPREMS

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Recent years have seen an increase in the importance of technology in all facets of our lives, including farming, which is greatly influenced by the environment. As a result, new techniques have had to be developed to increase agricultural productivity. Sequential learning is a supervised learning method that makes use of such parameters, but it comes with a number of downsides, including limited sensitivity and uncalculating errors from the input sensors of the source. The rise of information technology (IT) has led to several studies in industry and agriculture with the emergence of the Internet of Things (IoT) and industrialization. We may anticipate agricultural IT development from the automation of agricultural data collection since IoT technology, in particular, can get over the location and distance limitations of wired communication systems employed in existing farms. The system also uses the MQ Telemetry Transport (MQTT) communication mechanism, an IoT-specific protocol, to accomplish the monitoring and control functions, increasing the likelihood that agricultural IoT will emerge. Smart irrigation systems are created using sequential learning neural network algorithms and the Internet of Things to address these shortcomings. Each sensor is examined in depth based on the results of the first stage. Different sensor setups are examined using a sequential learning neural network technique based on an Arduino node MCU. Users have talked about how farmers may utilize IoT technology to help them identify important environmental factors, including temperature, humidity, soil moisture, and water level. When a signal is given through the Arduino controller, a water pump will open and close the flow to control the amount of water that is flowing. A rain cannon sprays water onto the plant's roots, one drop at a time. When the moisture level returns to normal, the sensor recognizes it and signals the controller to turn off the water pump. With the Internet of Things (IoT) and wireless sensor networks (WSNs)' high sensor systems and output, smart farming offers opportunities for more precise, networked, and long-lasting agriculture.

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Section: Related Workmentioning

confidence: 99%

Implement Smart Farm With Iot Technology

2023

IJPREMS

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“…Some of the issues with these alternative power options are the storage and transmission of power, along with uneven energy requirements at different location of the farm. An efficient microgrid architecture is required to overcome such issues and research has been done in this area to propose an efficient smart microgrid working along with renewable power sources in [66,67].…”

Section: Power Issuesmentioning

confidence: 99%

Everything You wanted to Know about Smart Agriculture

Mitra¹,

Vangipuram²,

Bapatla³

et al. 2022

Preprint

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The world population is anticipated to increase by close to 2 billion by 2050 causing a rapid escalation of food demand. A recent projection shows that the world is lagging behind accomplishing the "Zero Hunger" goal, in spite of some advancements. Socio-economic and well being fallout will affect the food security. Vulnerable groups of people will suffer malnutrition. To cater to the needs of the increasing population, the agricultural industry needs to be modernized, become smart, and automated. Traditional agriculture can be remade to efficient, sustainable, eco-friendly smart agriculture by adopting existing technologies. In this survey paper the authors present the applications, technological trends, available datasets, networking options, and challenges in smart agriculture. How Agro Cyber Physical Systems are built upon the Internet-of-Agro-Things is discussed through various application fields. Agriculture 4.0 is also discussed as a whole. We focus on the technologies, such as Artificial Intelligence (AI) and Machine Learning (ML) which support the automation, along with the Distributed Ledger Technology (DLT) which provides data integrity and security. After an in-depth study of different architectures, we also present a smart agriculture framework which relies on the location of data processing. We have divided open research problems of smart agriculture as future research work in two groups -from a technological perspective and from a networking perspective. AI, ML, the blockchain as a DLT, and Physical Unclonable Functions (PUF) based hardware security fall under the technology group, whereas any network related attacks, fake data injection and similar threats fall under the network research problem group.

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“…Con el fin de contribuir a la reducción de CO 2 , de reducir el consumo de energía desde la red eléctrica y de producción de agua dulce para riego utilizando agua subterránea o de mar por ósmosis inversa sistema de tratamiento/desalinización de agua, en [16] se propone el modelamiento, simulación y estudio del desempeño de un sistema solar fotovoltaico integrado para un campo agrícola. En [17], se realiza también un análisis técnico, económico y ambiental del uso de una microrred inteligente basada en energía solar para electrificación rural de una comunidad agrícola. El estudio mostró que la microrred basada en energía solar es un 33% más económico que el sistema original y con una participación del 100% de energía renovable que reduce 63,750 kg de dióxido de carbono por año.…”

Section: Estado Del Arteunclassified

Solar energy in the agrifood industry

Fuentes

Rojas

Rivera

et al. 2021

2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)

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The agriculture and food industry is very important for human society development and is constantly growing with the world's population. Agriculture is also among the activities that generate a lot of greenhouse gases, therefore there is a need to opt for the implementation of renewable energy resources for processing. Solar energy is a good solution because it is clean, natural and abundant as well as usually being available in the regions used for growing food. This paper presents some processes in the agriculture and food industries in which solar energy systems can be used. The state of the art and practical examples of the incorporation and adaptability of solar energy are also presented.

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Techno-Economic-Environment Analysis of Solar PV Smart Microgrid for Sustainable Rural Electrification in Agriculture community

Cited by 9 publications

References 7 publications

Implement Smart Farm With Iot Technology

Implement Smart Farm With Iot Technology

Everything You wanted to Know about Smart Agriculture

Solar energy in the agrifood industry

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