Milchbot: App to Support the Process of Feeding and Caring for Dairy Cows in Peru

DOI 10.7160/aol.2022.140403
No 4/2022, December
pp. 27-37

Herrera. K., Miranda, J. and Mauricio1, D. (2022) "Milchbot: App to Support the Process of Feeding and Caring for Dairy Cows in Peru", AGRIS on-line Papers in Economics and Informatics, Vol. 14, No. 4, pp. 27-37. ISSN 1804-1930. DOI 10.7160/aol.2022.140403.


At present, Peru's agricultural sector has a shortfall of professionals, so livestock producers cannot be provided with relevant and reliable information to ensure good nutrition and care for dairy cows, which affects productivity. Milchbot is a chatbot that answers queries about the feeding and care of dairy cows based on reliable documentation. To do so, a chatbot model was designed to cover the topics of feeding, care, news and frequently asked questions for the planning, feeding and care processes about dairy cows. The model consists of a friendly interface, a dialog engine and a search engine that allows you to find and provide information from a document storage. This model was implemented employing Watson Assistant and Discovery. Milchbot was used and evaluated by 6 livestock producers and 7 zootechnicians. The results of the usability and satisfaction surveys show a high rating for both livestock producers and zootechnicians, and it should be noted that zootechnicians gave very high ratings on satisfaction.


Chatbot, dairy cows, agricultural sector, Watson


  1. Al Rasyid, M. U. H., Sukaridhoto, S., Dfzulqornain, M. I. and Rifai, A. (2020) "Integration of IoT and chatbot for aquaculture with natural language processing", Telecommunication, Computing, Electronics and Control, Vol. 18. No. 2, pp. 640-648. DOI 10.12928/telkomnika.v18i2.14788.
  2. Arora, B., Yadav, M., Chaudhary, D. S., Satsangi, M., Yadav, M., Singh, L. and Sudhish, P. S. (2020) "Agribot: A Natural Language Generative Neural Networks Engine for Agricultural Applications", In International Conference on Contemporary Computing and Applications 2020, IEEE, Lucknow, India; pp. 28-33. DOI 10.1109/IC3A48958.2020.233263.
  3. Ekanayake, J. and Saputhanthri, L. (2020) "E-AGRO: Intelligent chat-bot. IoT and artificial intelligence to enhance farming industry", AGRIS on-Line Papers in Economics and Informatics, Vol. 12, No. 1, pp. 15-21. ISSN 1804-1930. DOI 10.7160/aol.2020.120102.
  4. Gayathri, S. and Kumar, S. (2020) "Adithri–(F2) The Farmer’s Friend", In Proceedings of the 3rd International Conference on Communications and Cyber Physical Engineering, ICCCE 2020, Springer, Singapore; pp. 225-232. DOI 10.1007/978-981-15-7961-5.
  5. Gunawan, R., Taufik, I., Mulyana, E., Kurahman, O. T. and Ramdhani, M. A. (2019) "Chatbot Application on Internet of Things (IoT) to Support Smart Urban Agriculture", In 2019 IEEE 5th International Conference on Wireless and Telematics (ICWT), IEEE, Yogyakarta, Indonesia. DOI 10.1109/ICWT47785.2019.8978271.
  6. IBM (2018) "Watson Assistant: Agente virtual inteligente", Watson Assistant. [Online]. Available: [Accessed: Sept. 16, 2022].
  7. INEI (2018) "Profesiones o Carreras Universitarias". [Online]. Available: [Accessed: Sept. 16, 2022]. (In Spanish).
  8. INEI (2018) "Educación Universitaria", Instituto Nacional de Estadística e Informática. [Online]. [Accessed: Sept. 20, 2022]. (In Spanish).
  9. Majumder, S. and Mondal, A. (2021) "Are chatbots really useful for human resource management?", International Journal of Speech Technology, Vol. 24, pp. 969-977. E-ISSN 1572-8110, ISSN 1381-2416. DOI 10.1007/s10772-021-09834-y.
  10. Mamani (2017) "Mortalidad de vacunos del centro de investigación de Chuquibambilla", Professional thesis, Universidad Nacional del Antiplano. (In Spanish).
  11. Mendo-Jara, J. R., Cuestas-Alva, J. M. and Castillo-Dominguez, P. G. (2020) "Virtual assistant in information management for integrated crop management", In Engineering, Integration, and Alliances for a Sustainable Development. Hemispheric Cooperation for Competitiveness and Prosperity on a Knowledge-Based Economy: Proceedings of the 18th LACCEI International Multi-Conference for Engineering, Education and Technology. ISBN 978-958-52071-4-1. DOI 10.18687/LACCEI2020.1.1.145.
  12. MINAGRI (2017) "Plan Nacional de Desarrollo Ganadero". [Online]. Available: [Accessed: Sept. 20, 2022]. (In Spanish).
  13. MINAGRI (2019) "Producción Ganadera y Avícola". [Online]. Available:[Accessed: Sept. 20, 2022]. (In Spanish).
  14. Neligia, B and Alvarado, M. (2005) "Escala de actitud hacia el proceso de investigación científico social", Revista de Ciencias Sociales, Vol. 11, No. 3, pp. 537-544. ISSN 1315-9518. (In Spanish).
  15. Rooein, D., Bianchini, D., Leotta, F., Mecella, M., Paolini, P. and Pernici, B. (2020) "Chatting about processes in digital factories: A model-based approach", Enterprise, Business-Process and Information Systems Modeling, Vol. 387, LNBIP, Grenoble, France. ISBN 978-3-030-49417-9. DOI 10.1007/978-3-030-49418-6_5.
  16. Sawant, D., Jaiswal, A., Singh, J. and Shah, P. (2019) " AgriBot - An intelligent interactive interface to assist farmers in agricultural activities", 2019 IEEE Bombay Section Signature Conference (IBSSC), 2019, pp. 1-6. DOI 10.1109/IBSSC47189.2019.8973066.
  17. Shapa, M., Trojer, L. and Machuve, D. (2021) "Mobile-based Decision Support System for Poultry Farmers: A Case of Tanzania", International Journal of Advanced Computer Science and Applications, Vol. 12, No. 2, pp. 584-590. ISSN 21565570. DOI 10.14569/IJACSA.2021.0120273.
  18. Symeonaki, E. and Arvanitis, K. (2019) "Conversational User Interface Integration in Controlling IoT Devices Applied to Smart Agriculture: Analysis of a Chatbot System Design", Proceedings of the 2019 Intelligent Systems Conference (IntelliSys), Vol. 1, London, United Kingdom, pp. 1071-1088. DOI 10.1007/978-3-030-29516-5.
  19. Vijayalakshmi, J., and Pandimeena, K. (2019) "Agriculture talkbot using AI", International Journal of Recent Technology and Engineering, Vol. 8, No. 2S5, pp. 186-190. ISSN: 2277-3878. DOI 10.1007/978-3-030-29516-5_80.
  20. Villena, J. and Leon, J. (2016) "Modelo De Diseño Web Para El Sistema De Gestión De Puntos De Venta De La Empresa Compured S.a.C. Bajo El Estándar Iso 9241-210 Y La Especificación Wai-Aria 1.0.", Professional thesis. Universidad Privada Antenor Orrego. (In Spanish).
  21. Wiangsamut, S., Chomphuwiset, P. and Khummanee, S. (2019) "Chatting with Plants (Orchids) in Automated Smart Farming using IoT, Fuzzy Logic and Chatbot", Advances in Science, Technology and Engineering Systems, Vol. 4, No. 5, pp. 163-173. ISSN 24156698. DOI 10.25046/aj040522.

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