Artificial Intelligence based Agricultural Chatbot and Virtual Assistant for Delivery of Harvested Crops

Authors

  • S. A. Sivakumar Associate Professor, Department of ECE, Dr.N.G.P. Institute of Technology, Coimbatore, India
  • B. Maruthi Shankar Associate Professor, Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India
  • B. Anuradha Assistant Professor, Department of ECE, Sri Eshwar College of Engineering, Coimbatore, India
  • K. A. Karan U G Scholar, Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India
  • A. Karthik U G Scholar, Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India
  • R. Karthik U G Scholar, Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India
  • Jambi Ratna Raja Kumar Associate Professor, Computer Engineering department, Sr.No.25/1/3, Balewadi, Pune -411045, Genba Sopanrao Moze College of Engineering

Keywords:

Crop transport, Chat-bot, Virtual assistant, transport, Cost reduction

Abstract

The integration of artificial intelligence (AI) in agriculture has the potential to revolutionize the industry, making it more efficient, sustainable, and productive. AI can be used to analyze data from various sources, such as satellite imagery, drones, and sensors, to provide farmers with valuable insights. It helps in optimizing irrigation, fertilization, and pesticide application by identifying areas of the field that require attention. AI algorithms can also predict crop yield, disease outbreaks, and recommend optimal planting and harvesting times. AI-powered systems can monitor crops and livestock through computer vision techniques and sensor data analysis. This enables early detection of plant diseases, nutrient deficiencies, or pest infestations. Livestock monitoring can include facial recognition to identify individual animals, behavior analysis to detect signs of illness or distress, and automated feeding systems. In developing countries like India, the rapid spread of mobile internet technology is offering a vital role in economic growth, social empowerment, and grass roots creativity. Every harvested crop needs to be transported. Transportation is one of the important factors for a farmer’s success. Transport that is well-managed is effective in transporting farm resources and harvested products as quickly as possible. So we are going to develop an android application for farmers and transport service providers. By this, we can pool the farmers according to their requirements.

Downloads

Download data is not yet available.

References

O. Catts, S. Collins, I. Zurr and E. Stephens, "Neutralizing nature: Automation, agricultural technologies, and the morality of improvement," 2021 IEEE International Symposium on Technology and Society (ISTAS), 2021, pp. 1-1, doi: 10.1109/ISTAS52410.2021.9629187.

Z. Jiayu, X. Shiwei, L. Zhemin, C. Wei and W. Dongjie, "Application of intelligence information fusion technology in agriculture monitoring and early-warning research," 2015 International Conference on Control, Automation and Robotics, 2015, pp. 114-117, doi: 10.1109/ICCAR.2015.7166013.

Ji-chun Zhao, Jun-feng Zhang, Yu Feng and Jian-xin Guo, "The study and application of the IOT technology in agriculture," 2010 3rd International Conference on Computer Science and Information Technology, 2010, pp. 462-465, doi: 10.1109/ICCSIT.2010.5565120.

Z. Weidong, W. Chun and H. Jing, "Development of agriculture machinery aided guidance system based on GPS and GIS," 2010 World Automation Congress, 2010, pp. 313-317.

B. Narayanavaram, E. M. K. Reddy and M. R. Rashmi, "Arduino based Automation of Agriculture A Step towards Modernization of Agriculture," 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), 2020, pp. 1184-1189, doi: 10.1109/ICECA49313.2020.9297546.

Deji Wang, Rujing Wang, Yu Wang and Shihong Zha, "Research on Clustering for Agriculture Information," 2006 6th World Congress on Intelligent Control and Automation, 2006, pp. 2575-2579, doi: 10.1109/WCICA.2006.1712827.

M. Bogdanoff and S. Tayeb, "An ISM-Band Automated Irrigation System for Agriculture IoT," 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), 2020, pp. 1-6, doi: 10.1109/IEMTRONICS51293.2020.9216351.

" Haslam, Oliver (May 16, 2013)."Download AndroidStudio IDE For Windows, OS X And Linux". Redmond Pie.RetrievedMay16,2013.

"SQLite Release 3.31.1 On 2020-01-27". Retrieved 28January2020.

GoogleLoader Developer'sGuide".Archivedfromtheoriginalon2013-01-26.Retrieved2013-02-26.Technology Promoting Retail Marketing In Agriculture Sector in India asa Study.InternationalConferenceonIntelligentComputing,Communication & convergence Procedia ComputerScience48(2015)652 – 659.

C. Vuppalapati, A. Ilapakurti, S. Kedari, J. Vuppalapati, S. Kedari and R. Vuppalapati, "Democratization of AI, Albeit Constrained IoT Devices & Tiny ML, for Creating a Sustainable Food Future," 2020 3rd International Conference on Information and Computer Technologies (ICICT), San Jose, CA, USA, 2020, pp. 525-530, doi: 10.1109/ICICT50521.2020.00089.

S. Pandey, A. Gehlot, V. Pandey, N. Kathuria, G. Chhabra and P. K. Malik, "Subsuming AI, IoT and Big Data in Smart Farm Practices," 2023 IEEE Devices for Integrated Circuit (DevIC), Kalyani, India, 2023, pp. 229-232, doi: 10.1109/DevIC57758.2023.10134816.

J. Schöning and M. L. Richter, "AI-Based Crop Rotation for Sustainable Agriculture Worldwide," 2021 IEEE Global Humanitarian Technology Conference (GHTC), Seattle, WA, USA, 2021, pp. 142-146, doi: 10.1109/GHTC53159.2021.9612460.

Sivakumar, S.A., Maruthi Shankar, B., Mahaboob, M., Adhish, N., Dineshkumar, R., Rahul, N. (2023). Sustainable Farming and Customized Livestock Management Using Internet of Things. In: Shakya, S., Balas, V.E., Haoxiang, W. (eds) Proceedings of Third International Conference on Sustainable Expert Systems . Lecture Notes in Networks and Systems, vol 587. Springer, Singapore. https://doi.org/10.1007/978-981-19-7874-6_40

Sivakumar Sabapathy Arumugam, Mohanapriya Ganeshmurthi, Rashini Annadurai, Vignesh Ravichandran, "Internet of Things based Smart Agriculture", International Journal of Advances in Computer and Electronics Engineering, Vol. 3, No. 3, pp. 8-17, March 2018.

B. Anuradha, C. Abinaya, M. Bharathi, A. Janani and A. Khan, "IoT Based Natural Disaster Monitoring and Prediction Analysis for Hills Area Using LSTM Network," 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, 2022, pp. 1908-1913, doi: 10.1109/ICACCS54159.2022.9785121.

Kumar, P. ., Gupta, M. K. ., Rao, C. R. S. ., Bhavsingh, M. ., & Srilakshmi, M. (2023). A Comparative Analysis of Collaborative Filtering Similarity Measurements for Recommendation Systems. International Journal on Recent and Innovation Trends in Computing and Communication, 11(3s), 184–192. https://doi.org/10.17762/ijritcc.v11i3s.6180

Mr. Rahul Sharma. (2015). Recognition of Anthracnose Injuries on Apple Surfaces using YOLOV 3-Dense. International Journal of New Practices in Management and Engineering, 4(02), 08 - 14. Retrieved from http://ijnpme.org/index.php/IJNPME/article/view/36

Thangamayan, S., Kumar, B., Umamaheswari, K., Kumar, M. A., Dhabliya, D., Prabu, S., & Rajesh, N. (2022). Stock Price Prediction using Hybrid Deep Learning Technique for Accurate Performance. 2022 International Conference on Knowledge Engineering and Communication Systems (ICKES), 1–6. IEEE.

Downloads

Published

11.07.2023

How to Cite

Sivakumar, S. A. ., Shankar, B. M. ., Anuradha, B. ., Karan, K. A. ., Karthik, A. ., Karthik, R. ., & Kumar, J. R. R. . (2023). Artificial Intelligence based Agricultural Chatbot and Virtual Assistant for Delivery of Harvested Crops. International Journal of Intelligent Systems and Applications in Engineering, 11(8s), 576–583. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3200

Issue

Vol. 11 No. 8s (2023): Advances on Machine Learning and Artificial Intelligence in Computer Technology

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.

IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.

Most read articles by the same author(s)