Farmer Assistant Bot - NLP and Conversational AI
Narayana Darapaneni, David Pratap, B G Sudha, Rani Mathialagan, Anwesh Reddy Paduri · 2024
India&s;s agricultural sector plays an important role in the growth and economy of the nation. It employs over 54.6% of the country&s;s workforce in various agricultural and allied sectors (Census 2011) such as growing crops, raising animals, fisheries, forestry, horticulture, and other small sectors. As of 2019–20, India&s;s all-embracing Gross Value Added (GVA) is close to 16.5% at current prices. At the same time, the agricultural sector has seen knowledge and infrastructure shortfall in comparison to the rate at which information technology has developed in India. Like other sectors, the Government of India has introduced many initiatives and programs to digitize the agriculture sector with the use of technology and the Kisan Call Centre (KCC) is one such initiative. With the introduction of Short Messaging Service (SMS)-based platforms and next-generation social messaging tools like Telegram, Slack, etc. farmers are able to connect to the latest agricultural information services in the present scenario. Various studies have shown that the KCC dataset recorded in the Government portal can be used for Chatbot development and design. The Farmer Bot is built with the KCC dataset available in the Government portal, by using the queries made by farmers to the KCC portal earlier and using it to design and develop an assistant to answer future queries. This paper presents an effort to create Telegram-based messaging channel chatbot integration to effortlessly connect with farmers using Open-Source Conversational AI, RASA as a tool. The Farmer Assistant can answer User queries with various choices and can display the Weather of a city.