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Soft Computing for Biological Systems pp 265–281Cite as

Integration of Soft Computing Approach in Plant Biology and Its Applications in Agriculture

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Abstract

Soft computing is a modern approach for analysis of complex problems. In agricultural field for complex problems, we require conventional methods which can give cost-effective, analytical and complete solutions. The past few decades have witnessed extensive research in the field of soft computing. In retrospect to development in agricultural sector, various analytical methods like artificial neural networks, support vector machines, fuzzy logic, decision trees and many more have been designed. These methods help to analyze soil and water regimes which are directly involved in crop growth, food processing and also help in precision farming. This review will provide an overview of the integration of soft computing approach in various fields of biology. Moreover, an extensive review of future prospects of soft computing in agriculture in particular and plant biology in general. In this book chapter, co-relation between soil and water as well as crop management has been discussed. The book chapter has been made more reader friendly and easily understandable by incorporation of appropriate diagrams providing detailed study on integration of soft computing approach in plant biology and its applications in agriculture in an easy and illustrative manner.

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Authors and Affiliations

  1. Department of Biotechnology, Bodoland University, Kokrajhar, Assam, India

    Archana Kumari

  2. Amity School of Engineering and Technology, Amity University Jharkhand, Ranchi, India

    Minu Kesheri

  3. Centre of Advanced Study in Botany, Banaras Hindu University, Varanasi, India

    Rajeshwar P. Sinha

  4. Department of Biology, School of Engineering, Presidency University, Bengaluru, India

    Swarna Kanchan

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  1. Archana Kumari
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  4. Swarna Kanchan
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Correspondence to Swarna Kanchan .

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Editors and Affiliations

  1. Environmental Biotechnology and Genomics Division, CSIR-National Environmental Engineering Research Institute (NEERI), Nagpur, Maharashtra, India

    Hemant J. Purohit

  2. Microbial Biotechnology and Genomics, CSIR-Institute of Genomics and Integrative Biology (IGIB) Delhi University Campus, Delhi, India

    Vipin Chandra Kalia

  3. ADBS, Lab 18, Neural Stem Cell Program, TIFR-National Centre for Biological Sciences, Bangalore, Karnataka, India

    Ravi Prabhakar More

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Kumari, A., Kesheri, M., Sinha, R.P., Kanchan, S. (2018). Integration of Soft Computing Approach in Plant Biology and Its Applications in Agriculture. In: Purohit, H., Kalia, V., More, R. (eds) Soft Computing for Biological Systems. Springer, Singapore. https://doi.org/10.1007/978-981-10-7455-4_16

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