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Empowering Agriculture With Conversational AI: An Application for Farmer Advisory and Communication

Empowering Agriculture With Conversational AI: An Application for Farmer Advisory and Communication

Mrignainy Kansal, Pancham Singh, Mili Srivastava, Prateek Chaurasia
Copyright: © 2023 |Pages: 18
ISBN13: 9798369302002|ISBN13 Softcover: 9798369302019|EISBN13: 9798369302026
DOI: 10.4018/979-8-3693-0200-2.ch011
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MLA

Kansal, Mrignainy, et al. "Empowering Agriculture With Conversational AI: An Application for Farmer Advisory and Communication." Convergence of Cloud Computing, AI, and Agricultural Science, edited by Avinash Kumar Sharma, et al., IGI Global, 2023, pp. 210-227. https://doi.org/10.4018/979-8-3693-0200-2.ch011

APA

Kansal, M., Singh, P., Srivastava, M., & Chaurasia, P. (2023). Empowering Agriculture With Conversational AI: An Application for Farmer Advisory and Communication. In A. Sharma, N. Chanderwal, & R. Khan (Eds.), Convergence of Cloud Computing, AI, and Agricultural Science (pp. 210-227). IGI Global. https://doi.org/10.4018/979-8-3693-0200-2.ch011

Chicago

Kansal, Mrignainy, et al. "Empowering Agriculture With Conversational AI: An Application for Farmer Advisory and Communication." In Convergence of Cloud Computing, AI, and Agricultural Science, edited by Avinash Kumar Sharma, Nitin Chanderwal, and Rijwan Khan, 210-227. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/979-8-3693-0200-2.ch011

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Abstract

Conversational AI is the most trending technology in recent years. It's not just a buzzword anymore, it is here to stay and will continue to grow as more people become aware of its benefits. This technology can greatly help farmers and other agricultural workers by giving them the information. By leveraging chatbots, virtual assistants, and voice-based interfaces, it addresses challenges in accessing timely and accurate information. It enables early detection of crop diseases, provides real-time market prices, weather forecasts, and aids in soil health monitoring. Furthermore, it assists in farm equipment maintenance, streamlines access to government schemes, and fosters knowledge sharing among farmers. Additionally, it can be utilized for data collection and analysis, supporting precision agriculture practices. The integration of ML, data analytics, and IoT devices enhances the accuracy and insights derived from the collected data. Its transformative potential contributes to the sustainable growth of agriculture, ensuring food security and empowering farmers for a prosperous future.

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