Skip to main content
SpringerLink
Log in

Intelligent Chatbot Assistant in Agriculture Domain

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

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

Included in the following conference series:

  • 144 Accesses

Abstract

Agriculture is known as the economic game changer of India. It is the primary driver of GDP growth because of India’s robust agricultural industry, and proper knowledge about agriculture techniques help increase crop yield. So, answering the different types of crop-related queries is essential. We proposed the intelligent chatbot application in the agriculture domain so that farmers can get the correct information about farming practices. Our system is farmer-friendly and capable enough to instantly answer farm-related queries from the knowledge base, such as plant protection, fertilizer uses, government schemes, and many others. We used the agriculture-related data in question-answer format and implemented the pre-trained model of the Sentence-Transformer approach to answer providing. We also deployed the TF-IDF and Bag-of-Words method but achieved a reasonable accuracy rate for the test data in the sentence transformer pre-trained model. With the help of API services, our system also shows the crop’s latest mandi (market) rate and current weather information. So, the proposed chatbot system will keep the contribution for farmer’s cost savings. Overall, our chatbot system is straightforward and more efficient for the farmer to make better decisions.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Statista Research Department Aprajita Minhas. Topic: Agriculture in India (2023). https://www.statista.com/topics/4868/agricultural-sector-in-india/#topicOverview. Accessed 30 Jan 2023

  2. Adi(Alternative Development Initiative) International. Topic: Agriculture in India. https://www.adi-international.org/agriculture-rural-development/. Accessed 03 Feb 2023

  3. Ministry of Agriculture and Farmers Welfare. Increasing Knowledge and Awareness Among Farmers to Enhance the Production and Productivity (2015). https://pib.gov.in/newsite/PrintRelease.aspx?relid=124565. Accessed 03 Feb 2023

  4. Department of Agriculture, Cooperation, and Farmers Welfare. Farmer’s Portal. https://farmer.gov.in/FarmerHome.aspx. Accessed 05 Feb 2023

  5. Bhardwaj, T., Deshpande, P., Murke, T., Deshpande, S., Deshpande, K.: Farmer-assistive chatbot in Indian context using learning techniques. In: Mahalle, P.N., Shinde, G.R., Dey, N., Hassanien, A.E. (eds.) Security Issues and Privacy Threats in Smart Ubiquitous Computing. SSDC, vol. 341, pp. 239–246. Springer, Singapore (2021). https://doi.org/10.1007/978-981-33-4996-4_16

    Chapter  Google Scholar 

  6. Arora, B., Chaudhary, D.S., Satsangi, M., Yadav, M., Singh, L., Sudhish, P.S.: Agribot: a natural language generative neural networks engine for agricultural applications. In: 2020 International Conference on Contemporary Computing and Applications (IC3A), pp. 28–33. IEEE (2020)

    Google Scholar 

  7. Niranjan, P.Y., Rajpurohit, V.S., Malgi, R.: A survey on chat-bot system for agriculture domain. In: 2019 1st International Conference on Advances in Information Technology (ICAIT), pp. 99–103. IEEE (2019)

    Google Scholar 

  8. Gounder, S., Patil, M., Rokade, V., More, N.: Agrobot: an agricultural advancement to enable smart farm services using NLP. J. Emerg. Technol. Innov. Res. (2021)

    Google Scholar 

  9. Mohapatra, S.K., Upadhyay, A.: Using tf-idf on kisan call centre dataset for obtaining query answers. In: 2018 International Conference on Communication, Computing and Internet of Things (IC3IoT), pp. 479–482. IEEE (2018)

    Google Scholar 

  10. Nayak, V., Sowmya, N.H., et al.: Agroxpert-farmer assistant. Global Trans. Proc. 2(2), 506–512 (2021)

    Google Scholar 

  11. Jain, M., Kumar, P., Bhansali, I., Liao, Q.V., Truong, K., Patel, S.: Farmchat: a conversational agent to answer farmer queries. In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2(4), pp. 1–22 (2018)

    Google Scholar 

  12. Thatipelli, P., Sujatha, R.: Smart agricultural robot with real-time data analysis using IBM Watson cloud platform. In: Baredar, P.V., Tangellapalli, S., Solanki, C.S. (eds.) Advances in Clean Energy Technologies. SPE, pp. 415–427. Springer, Singapore (2021). https://doi.org/10.1007/978-981-16-0235-1_33

    Chapter  Google Scholar 

  13. Momaya, M., Khanna, A., Sadavarte, J., Sankhe, M.: Krushi-the farmer chatbot. In 2021 International Conference on Communication information and Computing Technology (ICCICT), pp. 1–6. IEEE (2021)

    Google Scholar 

  14. Gunawan, R., Taufik, I., Mulyana, E., Kurahman, O.T., Ramdhani, M.A., et al.: Chatbot application on internet of things (IoT) to support smart urban agriculture. In: 2019 IEEE 5th International Conference on Wireless and Telematics (ICWT), pp. 1–6. IEEE (2019)

    Google Scholar 

  15. Mostaco, G.M., De Souza, I.R.C., Campos, L.B., Cugnasca, C.E.: Agronomobot: a smart answering chatbot applied to agricultural sensor networks. In: 14th International Conference on Precision Agriculture, vol. 24, pp. 1–13 (2018)

    Google Scholar 

  16. Kiruthika, U., Kanaga Suba Raja, S., Balaji, V., Raman, C.J.: E-agriculture for direct marketing of food crops using chatbots. In: 2020 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS), pp. 1–4. IEEE (2020)

    Google Scholar 

  17. Shao, T., Guo, Y., Chen, H., Hao, Z.: Transformer-based neural network for answer selection in question answering. IEEE Access 7, 26146–26156 (2019)

    Article  Google Scholar 

  18. Ngai, H., Park, Y., Chen, J., Parsapoor, M.: Transformer-based models for question answering on covid19. arXiv preprint arXiv:2101.11432 (2021)

  19. Soldaini, L., Moschitti, A.: The cascade transformer: an application for efficient answer sentence selection. arXiv preprint arXiv:2005.02534 (2020)

  20. Ministry of Electronics National Informatics Centre (NIC) and Information Technology. Open Government Data (OGD) Platform India. https://data.gov.in/. Accessed 05 Feb 2023

  21. Open Weather Map. https://openweathermap.org/. Accessed 05 Feb 2023

  22. Agropedia. Knowledge Models. https://agropedia.iitk.ac.in/content/knowledge-models-0. Accessed 03 Feb 2023

  23. Apni Kheti - Empowering Rural India Digitally. https://www.apnikheti.com/en/pn/home. Accessed 18 Dec 2022

  24. Punjab INDIA Punjab Agricultural University (PAU) Ludhiana. https://www.pau.edu/

  25. New Delhi ICAR-Indian Agricultural Research Institute. https://iari.res.in/index.php/en/iari-new-delhi

  26. IIWBR - Indian Institute of Wheat and Barley Research. https://iiwbr.icar.gov.in/

  27. Jal Shakti Abhiyan. https://ejalshakti.gov.in/jsa/

  28. Direct Benefit Transfer In Agriculture Mechanization. https://agrimachinery.nic.in/Master/User/StateWiseNoduleOfficerReport

  29. Vikaspedia Domains. https://vikaspedia.in/agriculture

  30. Technische Universität Darmstadt Nils Reimers. Pretrained Models - Sentence-Transformers documentation. https://www.sbert.net/docs/pretrained_models.html. Accessed 12 Dec 2022

  31. Pegasus. https://huggingface.co/docs/transformers/model_doc/pegasus. Accessed 03 Feb 2023

  32. Zeng, D., Zhang, H., Xiang, L., Wang, J., Ji, G.: User-oriented paraphrase generation with keywords controlled network. IEEE Access 7, 80542–80551 (2019)

    Article  Google Scholar 

  33. van der Lee, C., Gatt, A., van Miltenburg, E., Krahmer, E.: Human evaluation of automatically generated text: current trends and best practice guidelines. Comput. Speech Lang. 67, 101151 (2021)

    Article  Google Scholar 

Download references

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).

Author information

Authors and Affiliations

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

    Rahul Biswas & Neeraj Goel

Authors
  1. Rahul Biswas
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Neeraj Goel
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rahul Biswas .

Editor information

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

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Biswas, R., Goel, N. (2023). Intelligent Chatbot Assistant in Agriculture Domain. 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_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-43605-5_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-43604-8

  • Online ISBN: 978-3-031-43605-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation