Optimised environmental data acquitisation technique for monitoring air quality and crop plantation for developing a smart city using LoRa network

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Abstract

Movements in low power and simplicity estimation and correspondence development have gotten a disturbed remote distinguishing and checking applications. Starting at now, there are many battling checks and advances trying to take a hold of WSN, especially the zone of remote identifying and correspondence development. LoRa Network is one of these progressions getting omnipresence in the utilization of Wireless Sensor Networks (WSNs). The limit of LoRa Network to develop correspondence interfaces over long detachments with by and large essential centers; irrelevant establishment, low power requirements and use of license free ISM gatherings give it a broad edge of its adversaries. Notwithstanding the way that a lot of research work has been done about the ampleness of LoRa Network for low power remote sensor frameworks, there are still openings in the expounding on the sensible pieces of structure and execution of such systems. This endeavor revolves around issue of realizing a constrained sensor arrange for a sharp air quality examination and yield domain system for a splendid city application using LoRa Network as the central correspondence development. A structure for checking air nature of the earth and yield bequest is executed using negligible exertion game plans available in the market. This task likewise has application in yield ranch. Soil dampness, temperature, mugginess of the dirt is noted so that if soil's water level goes down or ends up overabundance it will hurt the yields. So to keep up the water prerequisite sensors are set in soil and lora innovation is utilized for information transmission.

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Agrawal, T. H., & Kuntawar, S. V. (2019). Optimised environmental data acquitisation technique for monitoring air quality and crop plantation for developing a smart city using LoRa network. International Journal of Recent Technology and Engineering, 8(3), 428–435. https://doi.org/10.35940/ijrte.C4214.098319

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