Authors :
M Kishore; Ariharan M; Karthikeyan V
Volume/Issue :
Volume 10 - 2025, Issue 4 - April
Google Scholar :
https://tinyurl.com/yc7jmyw7
Scribd :
https://tinyurl.com/4nwjfjh4
DOI :
https://doi.org/10.38124/ijisrt/25apr407
Google Scholar
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Abstract :
AgriBot is an artificial intelligence based chatbot to solve major issues faced in the agriculture such as selection
of crops, plant diseases, unfavorable conditions, irrigation, etc. Using machine learning and real-time data, it makes tailored
crop recommendations based on soil health, previous yields and prevailing weather conditions. With the help of advanced
image-based algorithms, AgriBot is able to detect plant diseases in early stages and suggest treatments to prevent a crop loss
and timely action. Along with crop and disease management, AgriBot also analyzes real-time meteorological data and
provides accurate weather forecasts, allowing farmers to plan planting and harvesting more effectively.
Keywords :
AI-Driven Chatbot, Crop Recommendation, Disease Diagnosis, Weather Forecasting, Irrigation Optimization, Multilingual Interface, Smart Agriculture.
References :
- ADVANCED AGRICULTURAL CHAT BOT: Anusiya M.1, Buviya R.2, Deva Dharshini M.3, Revathi S.4, Dr.M.Kumar.5 Associate Professor, Chettinad College of Engineering and Technology, Karur (TN), India-2024
- Agribot: Iot Based Farmbot for Smart Farming: Jignyasa Sanghavi1*, Rina Damdoo2, and Kanak Kalyani3 1, 2 3Assistant Professor, Shri Ramdeobaba College of Engineering and Managment, Nagpur, M.S. India-2020
- The development and Application of decision Tree for Agriculture data: Jun wu, Anastasiya Olesnikova, chi-Hwa Song, won don lee-2009
- Crop yield Forecasted Model based on Time Series Techniques: li Hong-ying, Hou yan-lin, Zhou yong-juan, Zhao Hui ming. 2012.
- Revolutionizing Agriculture with Generation ChatBots: N Mohammed Adil*1, Ananya SM*2, Kavya Kartik*3, Md Sarfraz Alam-2024
- AI Based Farmer’s Assistance Chatbot: Patha Druva1, Nelki Sainithin2, Muppa Manisai3, K.Sreelatha4
- An Overview of the Research on Plant Leaves Disease detection using Image Processing Technique: 1.Ms. Kiran R. Gavhale, 2.Prof. Ujwalla Gawande
- Crop recommendation system for growing best suitable crop: Yash Gupta and Garima Srivastava-2024
- Development of Agriculture Chatbot using Machine Learning Techniques: Prashant Y. Niranjan, Vijay S. Rajpurohit, Rasika Malgi
- Implementation of a Chatbot System using AI and NLP: Tarun Lalwani, Shashank Bhalotia, Ashish Pal, Shreya Bisen, Vasundhara Rathod
AgriBot is an artificial intelligence based chatbot to solve major issues faced in the agriculture such as selection
of crops, plant diseases, unfavorable conditions, irrigation, etc. Using machine learning and real-time data, it makes tailored
crop recommendations based on soil health, previous yields and prevailing weather conditions. With the help of advanced
image-based algorithms, AgriBot is able to detect plant diseases in early stages and suggest treatments to prevent a crop loss
and timely action. Along with crop and disease management, AgriBot also analyzes real-time meteorological data and
provides accurate weather forecasts, allowing farmers to plan planting and harvesting more effectively.
Keywords :
AI-Driven Chatbot, Crop Recommendation, Disease Diagnosis, Weather Forecasting, Irrigation Optimization, Multilingual Interface, Smart Agriculture.
