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Climate Dependent Crop Management Through Data Modeling

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Proceedings of Data Analytics and Management

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 91))

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Abstract

Climate change and agriculture are interdependent on each other. Climate change has an impact (positive/negative) on agriculture, and vice versa. To improve the agricultural system, Artificial Intelligence (AI) algorithms play an important role and are highly accurate algorithms, which are emerging nowadays. Artificial Intelligence can be applied throughout the lifecycle of a plant. In this paper, we have briefly summarized research done based on application of Artificial Intelligence or machine learning techniques in crop management of the agricultural system. The motive of this paper is to discuss how agriculture benefits from machine learning technologies and how the future of agriculture can be improved based on current and archived data. It also shows how huge amount of data can be utilized in improving the agricultural system. The work discussed in this paper is focused on Crop management which in turn is categorized into four sub-categories: Crop Yield Prediction, Crop Quality Prediction, Crop Disease Detection, and Weed Detection.

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Author information

Authors and Affiliations

  1. Department of Computer Science Engineering, AIACT&R, GGSIP University, Delhi, India

    Narinder Kaur

  2. Department of Computer Science and Engineering, NSUT East Campus (Erstwhile AIACT&R, GGSIP University), Delhi, India

    Vishal Gupta

Authors
  1. Narinder Kaur
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  2. Vishal Gupta
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Corresponding author

Correspondence to Narinder Kaur .

Editor information

Editors and Affiliations

  1. Maharaja Agrasen Institute of Technology, New Delhi, Delhi, India

    Deepak Gupta

  2. Jan Wyzykowski University, Polkowice, Poland

    Zdzislaw Polkowski

  3. Maharaja Agrasen Institute of Technology, New Delhi, Delhi, India

    Ashish Khanna

  4. Rajnagar Mahavidyalaya, Birbhum, West Bengal, India

    Siddhartha Bhattacharyya

  5. Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo

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Kaur, N., Gupta, V. (2022). Climate Dependent Crop Management Through Data Modeling. In: Gupta, D., Polkowski, Z., Khanna, A., Bhattacharyya, S., Castillo, O. (eds) Proceedings of Data Analytics and Management . Lecture Notes on Data Engineering and Communications Technologies, vol 91. Springer, Singapore. https://doi.org/10.1007/978-981-16-6285-0_59

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