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IoT-Based Nursery Management System

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Advances in Artificial Intelligence and Data Engineering (AIDE 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1133))

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Abstract

IoT is one of the developing technologies in recent years. Internet of things is a huge network, which provides human-to-human (H2H), machine-to-machine (M2M), and human-to-machine (H2M) communications. The IoT is still developing technology and has many research scopes. The IoT has varieties of applications, which makes human’s life easier. These IoT applications reduce human interventions and give the results more accurate. The IoT applications can be used in every domain. One such application is the maintenance of nursery based on the environment and weather conditions. It is more efficient and cost-effective. The aim of the proposed method is to design an automated model for maintaining the useful weather condition for the good growth of the tiny plants. The maintenance of nursery without human intervention using the IoT and cloud is the key ambition of the paper. The tiny plants are grown in the nursery, and hence, the health of the plant plays an important role. The nursery, tissue culture areas are providing farmers good yielding plants. To get good quality plants maintaining various environmental parameters like temperature, humidity, and certain gasses is highly important. The model has been developed using Arduino Uno board, sensors, and Raspberry Pi model B. ThingSpeak, an open IoT platform with MATLAB analytics, is used for data collection and analysis. The simulation result gives the weather and environment conditions of the nursery on an hourly basis.

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Correspondence to Mahendra S. Naik .

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Naik, M.S., Desai, S., Sairam, K.V.S.S.S.S., Chaitra, S.N. (2021). IoT-Based Nursery Management System. In: Chiplunkar, N.N., Fukao, T. (eds) Advances in Artificial Intelligence and Data Engineering. AIDE 2019. Advances in Intelligent Systems and Computing, vol 1133. Springer, Singapore. https://doi.org/10.1007/978-981-15-3514-7_100

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