AI Bot for Helping Farmers in Detecting Coconut Tree Diseases

The AI Bot for Assisting Farmers in Detecting Coconut Tree Diseases initiative seeks to empower coconut farmers by offering an innovative solution for disease detection and control. This AI-powered chatbot will act as a virtual adviser, providing agricultural information and professional advice suited to farmers’ individual requirements. The bot’s capacity to examine uploaded photographs of coconut trees, using powerful image recognition algorithms to identify different crop illnesses, is crucial to its operation. Following diagnosis, the chatbot will provide full information about the diagnosed illnesses, including causes and suggested preventative actions. By using this technology, farmers will have access to timely information to treat tree health concerns, thereby increasing agricultural productivity and sustainability. The chatbot will also have an interactive interface, enabling farmers to ask questions and get individualized advise tailored to their specific agricultural situations. Through this initiative, we want to bridge the gap between technology and traditional farming techniques, promoting a more informed and proactive approach to agricultural disease control in the coconut sector.

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Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icercs63125.2024.10895515
Citations
2
Primary Topic
Coconut Research and Applications
Type
article
Field-Weighted Citation Impact
0.32
Controls
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article

AI Bot for Helping Farmers in Detecting Coconut Tree Diseases

V. Murali Krishna, Anand Sagar, M. Gayathri
2 citations
Coconut Research and Applications
0.32
article

AI Bot for Helping Farmers in Detecting Coconut Tree Diseases

V. Murali Krishna, Anand Sagar, M. Gayathri
article en
2 citations

Abstract

The AI Bot for Assisting Farmers in Detecting Coconut Tree Diseases initiative seeks to empower coconut farmers by offering an innovative solution for disease detection and control. This AI-powered chatbot will act as a virtual adviser, providing agricultural information and professional advice suited to farmers’ individual requirements. The bot’s capacity to examine uploaded photographs of coconut trees, using powerful image recognition algorithms to identify different crop illnesses, is crucial to its operation. Following diagnosis, the chatbot will provide full information about the diagnosed illnesses, including causes and suggested preventative actions. By using this technology, farmers will have access to timely information to treat tree health concerns, thereby increasing agricultural productivity and sustainability. The chatbot will also have an interactive interface, enabling farmers to ask questions and get individualized advise tailored to their specific agricultural situations. Through this initiative, we want to bridge the gap between technology and traditional farming techniques, promoting a more informed and proactive approach to agricultural disease control in the coconut sector.

SRM Institute of Science and Technology (IN)
Zero hunger
Openalex Percentile: Top 47%
Coconut Research and Applications
0.32
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AI Bot for Helping Farmers in Detecting Coconut Tree Diseases — V. Murali Krishna, Anand Sagar, et al. · (2024) | TGRS Research Map | TGRS