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Automated Agriculture News Collection, Analysis, and Recommendation

  • Conference paper
  • First Online:
Agriculture-Centric Computation (ICA 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1866))

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Abstract

A country like India mainly depends on the sector of agriculture. Most people’s economies are intensely engaged in the field of agriculture. So, developing the agriculture sector will be an excellent benefit for any country. Nowadays, People can immediately find any solution regarding agriculture through technology’s modernization. We can get any news from online articles anytime without any movement. Agriculture news should also be available in online news articles so that people who are intensely engaged with the agriculture field and economy can quickly get their valuable news. People must go through many online news sites to gather all the agriculture-related news. We have proposed an NLP-based solution so people can get all agriculture-related news in one place combining multiple features. In this process, we have collected many articles from multiple online newspapers and classified the agriculture news articles. For the classification process, we have applied several classification models. We have also added a machine learning-based model to check the duplication between news articles. Although, there will be multiple categories of agriculture news so that people can directly follow the news as they want. People will also be recommended articles based on content and times. So, Getting information about agriculture will be more straightforward for the farmer, and they can know about new technologies to apply in their work. Finally, in this proposed work, people can get all the essential agriculture news from various sources in one central point, including many exciting features.

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Acknowledgement

Authors acknowledge the grant received from the Department of Science & Technology, Government of India, for the Technology Innovation Hub at the Indian Institute of Technology Ropar in the framework of National Mission on Interdisciplinary Cyber-Physical Systems (NM - ICPS).

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India

    Shaikat Das Joy & Neeraj Goel

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  1. Shaikat Das Joy
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  2. Neeraj Goel
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Corresponding author

Correspondence to Shaikat Das Joy .

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Editors and Affiliations

  1. Indian Institute of Technology Ropar, Ropar, India

    Mukesh Kumar Saini

  2. Indian Institute of Technology Ropar, Ropar, India

    Neeraj Goel

  3. Indian Institute of Technology Guwahati, Guwahati, India

    Hanumant Singh Shekhawat

  4. Polytechnic University of Valencia, Valencia, Spain

    Jaime Lloret Mauri

  5. Saint Louis University, St. Louis, MO, USA

    Dhananjay Singh

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Joy, S.D., Goel, N. (2023). Automated Agriculture News Collection, Analysis, and Recommendation. In: Saini, M.K., Goel, N., Shekhawat, H.S., Mauri, J.L., Singh, D. (eds) Agriculture-Centric Computation. ICA 2023. Communications in Computer and Information Science, vol 1866. Springer, Cham. https://doi.org/10.1007/978-3-031-43605-5_13

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  • DOI: https://doi.org/10.1007/978-3-031-43605-5_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-43604-8

  • Online ISBN: 978-3-031-43605-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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