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Plant Irrigation and Recommender System–IoT Based Digital Solution for Home Garden

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Intelligent Technologies and Applications (INTAP 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 932))

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Abstract

Increasing population is exerting pressure day by day on available limited food supply. In Pakistan, presently vegetables are being grown on an area about 0.69 million hectares with a total production of 8.4 million tons annually ultimately per capita availability (137 g/man/day) is less than international health standards (300 g/man/day). People can grow daily usage vegetables in homes and commercial buildings, to cope this problem. Suitable amount of water for irrigation is an obligatory term for pinnacle plants growth. Monitoring of Soil and environmental elements of plants provide series of assessments reflecting how conditions and properties vary with time. Our intended system is mobile integrated and IOT based digital solution for smart gardening. In this project sensors are used to capture data of plants and vegetation conditions: Light Intensity, Soil moisture Level, humidity and temperature in real time on frequent intervals of a Day. Microcontroller input data from sensors and transmit it to server on internet. After collecting the data from sensors, system analyze the data to generate useful information to take effective decision about watering schedule by user who monitor and interact remotely with plants by using Smart Vegetable Garden (SVG) that is Android app (Prototype) via a multidisciplinary approach Internet of Things (IOT). Server send commands to microcontroller and actuators to perform actions like to turn ON/OFF water pump on specific times. Optionally can be connected to garden’s lighting circuit. Recommendations done by an intelligent agent which use plants data and matches between the plant’s currents and predefined state to provide customized gardening guidance such as which plant should grow by evaluating environmental factors, which fertilizer should be use, when to trim, estimated time to harvest, is the season is appropriate to germinate desired plant and appropriate schedules for irrigation.

S. M. Cheema and M. Khalid—Both authors contributed equally to this manuscript.

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Author information

Authors and Affiliations

  1. Department of Software Engineering, University of Sialkot, Sialkot, Pakistan

    Sehrish Munawar Cheema

  2. Department of Software Engineering, University of Gujrat, Sialkot Sub Campus, Gujrat, Pakistan

    Museb Khalid

  3. Department of Software Engineering, University of Lahore Islamabad Campus, Islamabad, Pakistan

    Abdur Rehman

  4. Faculty of Computer Science, Bahria University, Lahore Campus, Lahore, Pakistan

    Nadeem Sarwar

Authors
  1. Sehrish Munawar Cheema
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  2. Museb Khalid
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  3. Abdur Rehman
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  4. Nadeem Sarwar
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Corresponding author

Correspondence to Sehrish Munawar Cheema .

Editor information

Editors and Affiliations

  1. Department of Computer Science and IT, Islamia University of Bahawalpur, Baghdad, Pakistan

    Imran Sarwar Bajwa

  2. Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, UK

    Fairouz Kamareddine

  3. Department of Computer Engineering and Digital Systems, University of Sao Paulo, São Paulo, Brazil

    Anna Costa

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Cheema, S.M., Khalid, M., Rehman, A., Sarwar, N. (2019). Plant Irrigation and Recommender System–IoT Based Digital Solution for Home Garden. In: Bajwa, I., Kamareddine, F., Costa, A. (eds) Intelligent Technologies and Applications. INTAP 2018. Communications in Computer and Information Science, vol 932. Springer, Singapore. https://doi.org/10.1007/978-981-13-6052-7_44

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  • DOI: https://doi.org/10.1007/978-981-13-6052-7_44

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  • Print ISBN: 978-981-13-6051-0

  • Online ISBN: 978-981-13-6052-7

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