Agroinsights Chatbot: Ai-Driven Precision Farming For Optimal Yields, Crop Selection, And Disease-Free Harvests

The Agriculture AI-based chatbot presented offers a ground-breaking answer to farming challenges by fusing cutting-edge technologies. Through meticulous planning and execution, including data collection, preprocessing, and model selection, it solves significant challenges including agricultural yield projection, disease detection, and recommendations. The chatbot employs a range of machine learning and deep learning techniques to provide farmers with useful advice using an easy-to-use interface built with HTML, CSS, and Flask. A trained natural language processing (NLP) chatbot model increases user engagement and facilitates easier access to agricultural information. This comprehensive approach promotes the sustainability and prosperity of the global agriculture sector while boosting production and streamlining farming practices.

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Publication Details

Published
2024-09-21
DOI
https://doi.org/10.1109/nkcon62728.2024.10774802
Citations
3
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
1.80
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article

Agroinsights Chatbot: Ai-Driven Precision Farming For Optimal Yields, Crop Selection, And Disease-Free Harvests

P M Ebin, B. P. Prithviraj, K M Prajwal, Priyanka Choudhary et al.
3 citations
Smart Agriculture and AI
1.80
article

Agroinsights Chatbot: Ai-Driven Precision Farming For Optimal Yields, Crop Selection, And Disease-Free Harvests

P M Ebin, B. P. Prithviraj, K M Prajwal, Priyanka Choudhary, T M Geethajali
article en
3 citations

Abstract

The Agriculture AI-based chatbot presented offers a ground-breaking answer to farming challenges by fusing cutting-edge technologies. Through meticulous planning and execution, including data collection, preprocessing, and model selection, it solves significant challenges including agricultural yield projection, disease detection, and recommendations. The chatbot employs a range of machine learning and deep learning techniques to provide farmers with useful advice using an easy-to-use interface built with HTML, CSS, and Flask. A trained natural language processing (NLP) chatbot model increases user engagement and facilitates easier access to agricultural information. This comprehensive approach promotes the sustainability and prosperity of the global agriculture sector while boosting production and streamlining farming practices.

Visvesvaraya Technological University (IN)
Zero hunger
Openalex Percentile: Top 12%
Smart Agriculture and AI
1.80
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Agroinsights Chatbot: Ai-Driven Precision Farming For Optimal Yields, Crop Selection, And Disease-Free Harvests — P M Ebin, B. P. Prithviraj, et al. · (2024) | TGRS Research Map | TGRS