Artificial Intelligence Based Soilless Agriculture System Using Automatic Hydroponics Architecture

Aveen Uthman Hassan; Mu’azu Jibrin Musa; Yahaya Otuoze Salihu; Abubakar Abisetu Oremeyi; Fatima Ashafa

Intelligent Systems and Machine Learning. First EAI International Conference, ICISML 2022, Hyderabad, India, December 16-17, 2022, Proceedings, Part II

Research Article

Artificial Intelligence Based Soilless Agriculture System Using Automatic Hydroponics Architecture

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-031-35081-8_10,
    author={Aveen Uthman Hassan and Mu’azu Jibrin Musa and Yahaya Otuoze Salihu and Abubakar Abisetu Oremeyi and Fatima Ashafa},
    title={Artificial Intelligence Based Soilless Agriculture System Using Automatic Hydroponics Architecture},
    proceedings={Intelligent Systems and Machine Learning. First EAI International Conference, ICISML 2022, Hyderabad, India, December 16-17, 2022, Proceedings, Part II},
    proceedings_a={ICISML PART 2},
    year={2023},
    month={7},
    keywords={Artificial intelligence Microcontroller Hydroponics NFT Soilless agriculture},
    doi={10.1007/978-3-031-35081-8_10}
}

Aveen Uthman Hassan
Mu’azu Jibrin Musa
Yahaya Otuoze Salihu
Abubakar Abisetu Oremeyi
Fatima Ashafa
Year: 2023
Artificial Intelligence Based Soilless Agriculture System Using Automatic Hydroponics Architecture
ICISML PART 2
Springer
DOI: 10.1007/978-3-031-35081-8_10

Aveen Uthman Hassan¹, Mu’azu Jibrin Musa²^,*, Yahaya Otuoze Salihu³, Abubakar Abisetu Oremeyi⁴, Fatima Ashafa⁵

1: Department of Communication
2: Department of Electronics and Telecommunication, Engineering
3: Department of Computer Engineering
4: Department of Computer Engineering, School of Engineering, Kogi State Polytechnic Lokoja
5: Department of Electrical and Electronics Engineering

*Contact email: mjmusa@abu.edu.ng

Abstract

The conventional practices of farming vegetables are inherently associated with the shortage of vegetables due to its seasonal nature, limited farming land and continuous demand. The introduction of artificial means of vegetable production is labor-intensive because of the processes involved in this paper an Artificial Intelligence (AI) based Nutrient Film Technique (NFT) hydroponics system will be designed to mitigate the shortage of vegetable production and minimizes labor. AI will be coded into the ATMEGA328P microcontroller using C++ to provide the required automatic control necessary for the NFT pumps and valves, while Attention Commands (AT) will be used for the interfaced Sim900 Global System for Mobile Communication (GSM) modem for sending Short Message Service (SMS) to the farm operator in case of any malfunction. The improved NFT is found to maximize farmland sine layers of plants can be arranged on one another at a given distance apart, which varies from plant to plant. The AI minimizes human intervention and provides exact mixing and supply of balanced nutrients to plants for fast growth and healthy plants. Continuous production throughout the year using precise AI techniques was designed. Therefore, an improved user-friendly NFT was achieved by utilizing AI embedded in a microcontroller.

Keywords: Artificial intelligence Microcontroller Hydroponics NFT Soilless agriculture

Published: 2023-07-10
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-031-35081-8_10

Artificial Intelligence Based Soilless Agriculture System Using Automatic Hydroponics Architecture

Abstract

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