Agriculture Assistant Chatbot


Authors : K. Venkat Reddy; E. Sathvik; K. Laya; K.S.K. Sri Harsha

Volume/Issue : Volume 9 - 2024, Issue 5 - May

Google Scholar : https://tinyurl.com/59ks3nnc

Scribd : https://tinyurl.com/yeyf7dpr

DOI : https://doi.org/10.38124/ijisrt/IJISRT24MAY180

Abstract : Nowadays, every sector is developing in its own way, except the agriculture sector. The main goal of the project is to develop the agriculture sector and give hope to the farmers to grow themselves. In our opinion, in the future there will be no farmers, so this project may have an impact on agriculture. The chatbot will help humans gain more knowledge about the different aspects of good agriculture. We have designed this project using some ML techniques, AI, and NLP. The main results of this project will be about crop management, such as fertilizer dosage and nutrient requirements. The key strength of the chatbot lies in its integration with authoritative sources from "The Indian Council of Agricultural Research" (ICAR). Overall, this project mainly gives results about how good agriculture can be done.

Keywords : Natural Language Processing (NLP), Disease Detection, Machine Learning, Chatbot, Crop Management.

References :

  1. An AI-Based Chatbot Using Deep Learning." In    Intelligent Systems, pp. 231-242.AppleAcademic Press,2019.
  2.  J. Vijayalakshmi, K. PandiMeena, “Agriculture TalkBot Using AI”, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277 – 3878, Volume-8, Issue-2S5, July 2019.
  3. J. Bang, H. Noh, Y. Kim and G. G. Lee, "Example-based chat-oriented dialogue system with personalized long-term memory", 2015 International Conference on Big Data and Smart Computing (BIGCOMP), Jeju, 2015.
  4. E. Haller and T. Rebedea, "Designing a Chat-bot that Simulates an Historical Figure," 2013 19th International Conference on Control Systems and Computer Science, Bucharest, 2013.
  5. S. J. du Preez, M. Lall and S. Sinha, "An intelligent web-based voice chat bot," EUROCON 2009, EUROCON '09. IEEE, St.-Petersburg, 2009. [6] Y. Chen, W. Wang and Z. Liu, "Keyword based search and exploration on databases," 2011 IEEE 27th International Conference on Data Engineering, Hannover, 2011.
  6. B. K. Kim, J. Roh, S. Y. Dong, and S. Y. Lee, “Hierarchical committee of deep convolutional neural networks for robust facial expression recognition,” Journal on Multimodal User Interfaces, pp. 1-17, 2016.
  7. L. Chao, J. Tao, M. Yang, Y. Li, and Z. Wen, “Audio Visual Emotion Recognition with Temporal Alignment and Perception Attention,” arXiv preprint arXiv:1603.08321, 2016.
  8. H. Lee, Y. S. Choi, S. Lee, and I. P. Park, “Towards unobtrusive emotion recognition for affective social communication,” In proc. Of 2012 IEEE Consumer Communications and Networking Conference, pp. 260-264, 2012.
  9. M. Wollmer, F. Weninger, T. Knaup, B. Schuller, C. Sun, K. Sagae, and L. P. Morency, “youtube movie reviews: Sentiment analysis in an audio-visual context,” IEEE Intelligent Systems 28(3), pp. 46-53, 2013.
  10. A. Hommersom, P. J. Lucas, M. Velikova, G. Dal, J. Bastos, J. Rodriguez, M. Germs, and H. Schwietert, “Moshca-my mobile and smart healthcare assistant,” In proc. of e-Health Networking, Applications & Services (Healthcom), pp. 188-192, 2013.
  11. R. J. Vidmar. (1992, August). On the use of atmospheric plasmas as electromagnetic reflectors. IEEE Trans. Plasma Sci. [Online].

Nowadays, every sector is developing in its own way, except the agriculture sector. The main goal of the project is to develop the agriculture sector and give hope to the farmers to grow themselves. In our opinion, in the future there will be no farmers, so this project may have an impact on agriculture. The chatbot will help humans gain more knowledge about the different aspects of good agriculture. We have designed this project using some ML techniques, AI, and NLP. The main results of this project will be about crop management, such as fertilizer dosage and nutrient requirements. The key strength of the chatbot lies in its integration with authoritative sources from "The Indian Council of Agricultural Research" (ICAR). Overall, this project mainly gives results about how good agriculture can be done.

Keywords : Natural Language Processing (NLP), Disease Detection, Machine Learning, Chatbot, Crop Management.

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe