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A Neuro-Fuzzy Approach to Selecting Crops in Vertical Irrigation

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Application of Nature Based Algorithm in Natural Resource Management

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Abstract

Uncontrolled use of land resources and an ever increasing population has led to a scarcity of land in many countries, especially in Asia where population is higher than in other parts of the world. Also, the recent growth in urban populations has induced the use of forest land for agriculture or for residential purposes. In some countries governments are encouraging people to opt for vertical residences (multistoried apartments) where a single area is used to accommodate more than one family. In countries like China and Japan, where land scarcity is acute, people practice agriculture in multistoried structures. But irrigation requirements for this kind of agricultural practice are different from those of conventional procedures. Not all crops can be cultivated inside apartments due to the controlled nature of the inside environment. Thus the present study will try to find a methodology for selecting suitable species of crop for indoor cultivation ensuring the desired level of yield under minimum uncertainty.

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Authors and Affiliations

  1. School of Hydro-Informatics Engineering, National Institute of Technology Agartala, Barjala, Jirania, 799055, Tripura, India

    Mrinmoy Majumder

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  1. Mrinmoy Majumder
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Correspondence to Mrinmoy Majumder .

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Editors and Affiliations

  1. Agartala, School of Hydroinformatics Engineering, National Institute of Technology, Barjala, Jirania, Jirania, 799055, India

    Mrinmoy Majumder

  2. School of Hydro-Informatics Engineering, Department of Production Engineering, National Institute of Technology Agartal, Jirania, Agartala, 799055, Tripura, India

    Rabindra Nath Barman

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Majumder, M. (2013). A Neuro-Fuzzy Approach to Selecting Crops in Vertical Irrigation. In: Majumder, M., Barman, R. (eds) Application of Nature Based Algorithm in Natural Resource Management. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5152-1_7

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