IOT Based Smart Polyhouse System using Data Analysis

Pandey, Adesh Kumar; Chauhan, Minakshi

doi:10.1109/icict46931.2019.8977665

Cited by 4 publications

(1 citation statement)

References 7 publications

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“…Polyhouse farming is a magnificent strategy which empowers the creation of harvests with least assets and endeavors and most extreme yield by giving a controlled condition climate. A model based on IOT was proposed to acquire accuracy cultivating strategies using Hadoop technologies [1]. This model assists with computerizing the usefulness of polyhouse to get better yield.…”

Section: Related Researchmentioning

confidence: 99%

Smart Agriculture Using Polyhouse

Agarwal

Pant

Gangadharan

et al. 2021

Advances in Intelligent Systems and Computing

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Agriculture plays a great role in the development of agricultural country like India. Issues related to agriculture have been always hindering the development of the country. Each year many crops go waste due to a lack of optimal climatic conditions to support the growth of crops. Losses of around 11 billion dollars are reported in India each year alone. The farmers in India suffer a lot due to the low productivity. The only way out to this problem is smart agriculture by modernizing the current traditional methods of agriculture. Hence it aims at making agriculture smart using automation, Machine learning and IoT technologies. Polyhouse is one such method in implementing smart agriculture. Automated polyhouses are very useful in maintaining most of the adverse factors. It includes various types of sensors connected with a database. Smart Agriculture is a solution for monitoring air temperature, soil moisture, humidity, sunlight exposure, water required, etc. It becomes difficult for a human to maintain all these aspects at a time, thus smart agriculture becomes a necessary. This paper proposes a model for polyhouse using various sensors. Using this technology, data from various sensors will be analyzed to help in decision making.

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Section: Related Researchmentioning

confidence: 99%

Smart Agriculture Using Polyhouse

Agarwal

Pant

Gangadharan

et al. 2021

Advances in Intelligent Systems and Computing

View full text Add to dashboard Cite

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Smart Agriculture: The Future of Farming Using Emerging Internet of Things (IoT)-Based Sustainable Techniques

Sandhu,

Bharti,

Arora

et al. 2023

2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)

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Intelligent Data Analytics Framework for Precision Farming Using IoT and Regressor Machine Learning Algorithms

et al. 2022

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Smart farming with precise greenhouse monitoring in various scenarios is vital for improved agricultural growth management. The Internet of Things (IoT) leads to a modern age in computer networking that is gaining traction. This paper used a regression-based supervised machine learning approach to demonstrate a precise control of sensing parameters, CO2, soil moisture, temperature, humidity, and light intensity, in a smart greenhouse agricultural system. The proposed scheme comprised four main components: cloud, fog, edge, and sensor. It was found that the greenhouse could be remotely operated for the control of CO2, soil moisture, temperature, humidity, and light, resulting in improved management. Overall implementation was remotely monitored via the IoT using Message Query Telemetry Transport (MQTT), and sensor data were analysed for their standard and anomalous behaviours. Then, for practical computation over the cloud layer, an analytics and decision-making system was developed in the fog layer and constructed using supervised machine learning algorithms for precise management using regression modelling methods. The proposed framework improved its presentation and allowed us to properly accomplish the goal of the entire framework.

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IOT Based Smart Polyhouse System using Data Analysis

Cited by 4 publications

References 7 publications

Smart Agriculture Using Polyhouse

Smart Agriculture Using Polyhouse

Smart Agriculture: The Future of Farming Using Emerging Internet of Things (IoT)-Based Sustainable Techniques

Intelligent Data Analytics Framework for Precision Farming Using IoT and Regressor Machine Learning Algorithms

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