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A Review on Agricultural Advancement Based on Computer Vision and Machine Learning

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Emerging Technology in Modelling and Graphics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 937))

Abstract

The importance of agriculture in modern society need not be overstated. In order to meet the huge requirements of food and to mitigate, the conventional problems of cropping smart and sustainable agriculture have emerged over the conventional agriculture. From computational perspective, computer vision and machine learning techniques have been applied in many aspects of human and social life, and agriculture is not also an exception. This review paper gives an overview of machine learning and computer vision techniques which are inherently associated with this domain. A summary of the works highlighting different seeds, crops, fruits with the country is also enclosed. The paper also tries to give an analysis, which can help researchers to look at some relevant problems in the context of India.

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Authors and Affiliations

  1. A. K. Choudhury School of Information Technology, University of Calcutta, Kolkata, 700106, India

    Abriti Paul, Amit Kumar Das, Saptarsi Goswami & Soumya Sen

  2. IBM India Pvt. Ltd., Kolkata, India

    Sourav Ghosh

  3. School of Natural Resources & Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, USA

    Sruti Das Choudhury

Authors
  1. Abriti Paul
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  2. Sourav Ghosh
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  3. Amit Kumar Das
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  4. Saptarsi Goswami
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  5. Sruti Das Choudhury
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  6. Soumya Sen
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Correspondence to Abriti Paul .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India

    Jyotsna Kumar Mandal

  2. Department of Computer Science and Engineering, Institute of Engineering and Management, Kolkata, West Bengal, India

    Debika Bhattacharya

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Paul, A., Ghosh, S., Das, A.K., Goswami, S., Das Choudhury, S., Sen, S. (2020). A Review on Agricultural Advancement Based on Computer Vision and Machine Learning. In: Mandal, J., Bhattacharya, D. (eds) Emerging Technology in Modelling and Graphics. Advances in Intelligent Systems and Computing, vol 937. Springer, Singapore. https://doi.org/10.1007/978-981-13-7403-6_50

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  • DOI: https://doi.org/10.1007/978-981-13-7403-6_50

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