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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

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  • @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
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