Smart Farming Assistant

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Praveen Eswar M; Gayathridevi M; Elamaran G; Vignesh S

Smart Farming Assistant

Authors: Praveen Eswar M, Gayathridevi M, Elamaran G, Vignesh S

Unique Paper ID: 175818
Volume: 11
Issue: 11
PageNo: 3906-3909

Keywords: Smart Farming Crop Recommendation Fertilizer Prediction Plant Disease Detection Machine Learning XGBoost CNN Precision Agriculture Sustainable Farming Streamlit Interface.

Abstract:
The Smart Farming Assistant is an integrated system designed to support farmers with intelligent and data-driven agricultural decisions. It comprises multiple modules including crop recommendation based on soil conditions, fertilizer suggestion using machine learning (XGBoost), a detailed farming guide, plant disease detection using a CNN model trained on the PlantVillage dataset, and a location-based recommendation system that provides real-time weather and soil data. By combining AI, machine learning, and real-time data analysis, the assistant aims to increase productivity, reduce crop failure, and promote sustainable farming practices tailored to local conditions.

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ISSN: 2349-6002
Volume: 11
Issue: 11
PageNo: 3906-3909

Smart Farming Assistant

Available:https://ijirt.org/article?manuscript=175818

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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