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Automatic Data-Driven Agriculture System for Hydroponic Farming

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RER. NAT. ZAINALAuthors Info & Claims

APIT '21: Proceedings of the 2021 3rd Asia Pacific Information Technology Conference

Pages 6 - 11

https://doi.org/10.1145/3449365.3449367

Published: 17 May 2021 Publication History

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Abstract

Until 2050, global urbanization will increase to 2.4 billion cities and towns. As the population grows, so does the consumption of fruits and vegetables. There will be a need for agricultural land and water resources. Nowadays, hydroponics is gaining popularity due to the plants exceedingly high quality and not required the large space and resources as like traditional planting. In this paper, a system which will be automatically control Electrical Conductivity (EC), Total dissolved solids (TDS), liquid levels, and power of hydrogen (pH) values is proposed to improve the Hydroponics Planting. This system is developed based on Neural Network for auto adjusting the value of hydrogen(pH) and nutrient in lettuce farm. It is designed to enable seamless data collection from various kinds of sensors in urban farm condition. The deployment of proposed system is tested in indoor urban farming environment. Through the experimental results, the proposed system can effectively regulate water and nutrients by assisting plant growth.

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Dutta MGupta DJuneja SNauman AMuhammad G(2024)Comparative Growth Analysis of Onion in Deep Water Culture and Soil Based Systems: Enhancing Medicinal Plant Cultivation in Urbanized EnvironmentsIEEE Access10.1109/ACCESS.2024.337378712(38202-38218)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3373787
Dutta MGupta DJaved YMohiuddin KJuneja SKhan ZNauman A(2023)Monitoring Root and Shoot Characteristics for the Sustainable Growth of Barley Using an IoT-Enabled Hydroponic System and AquaCrop SimulatorSustainability10.3390/su1505439615:5(4396)Online publication date: 1-Mar-2023
https://doi.org/10.3390/su15054396
Dutta MGupta DSahu SLimkar SSingh PMishra AKumar MMutlu R(2023)Evaluation of Growth Responses of Lettuce and Energy Efficiency of the Substrate and Smart Hydroponics Cropping SystemSensors10.3390/s2304187523:4(1875)Online publication date: 7-Feb-2023
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Automatic Data-Driven Agriculture System for Hydroponic Farming

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APIT '21: Proceedings of the 2021 3rd Asia Pacific Information Technology Conference

January 2021

140 pages

ISBN:9781450388108

DOI:10.1145/3449365

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 17 May 2021

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APIT 2021: 2021 3rd Asia Pacific Information Technology Conference

January 15 - 17, 2021

Bangkok, Thailand

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Dutta MGupta DJuneja SNauman AMuhammad G(2024)Comparative Growth Analysis of Onion in Deep Water Culture and Soil Based Systems: Enhancing Medicinal Plant Cultivation in Urbanized EnvironmentsIEEE Access10.1109/ACCESS.2024.337378712(38202-38218)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3373787
Dutta MGupta DJaved YMohiuddin KJuneja SKhan ZNauman A(2023)Monitoring Root and Shoot Characteristics for the Sustainable Growth of Barley Using an IoT-Enabled Hydroponic System and AquaCrop SimulatorSustainability10.3390/su1505439615:5(4396)Online publication date: 1-Mar-2023
https://doi.org/10.3390/su15054396
Dutta MGupta DSahu SLimkar SSingh PMishra AKumar MMutlu R(2023)Evaluation of Growth Responses of Lettuce and Energy Efficiency of the Substrate and Smart Hydroponics Cropping SystemSensors10.3390/s2304187523:4(1875)Online publication date: 7-Feb-2023
https://doi.org/10.3390/s23041875
Duarte TGon�alves PDias G(2023)Low-cost smart hydroponic systems for home environment applications2023 18th Iberian Conference on Information Systems and Technologies (CISTI)10.23919/CISTI58278.2023.10211845(1-6)Online publication date: 20-Jun-2023
https://doi.org/10.23919/CISTI58278.2023.10211845
Dutta MMetkewar PKumar Dhanaraj RGupta DJuneja S(2023)Mapping Smart Vertical Farming in Cultivation of Herbaceous Medicinal Plants using Bibliometric Analysis2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT)10.1109/ICAICCIT60255.2023.10465701(453-459)Online publication date: 23-Nov-2023
https://doi.org/10.1109/ICAICCIT60255.2023.10465701

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Smart Hydroponic Greenhouse: Internet of Things and Soilless Farming

Hydroponic and Aquaponic Farming: Comparative Study Based on Internet of things IoT technologies.

Smart Agriculture using Ensemble Machine Learning Techniques in IoT Environment

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