Paper Title
Smart Harvesting Application for Crop Recommendation and Disease Detection
Article Identifiers
Authors
Suraj Savji , Tushar Pawar , Gokul Borade , Avishkar Khude , Harish Ghodke
Keywords
Abstract
This project addresses the critical issue of crop selection and crop disease detection for Indian farmers by developing a user-friendly Android app that leverages machine learning algorithms to recommend the most suitable crop for a given region, detect crop diseases, and suggest preventative measures and treatments. By analyzing factors such as temperature, rainfall, and area, the system provides data-driven insights to inform farmers' decisions. Key features include crop prediction using Random Forest classification, disease detection, real-time Mandi prices, AI-powered Q&A, community features, agri-news updates, and multi-language support. This system has the potential to increase crop yields, reduce losses, and enhance the livelihoods of Indian farmers, ultimately contributing to the growth of India's agricultural sector.
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How To Cite (APA)
Suraj Savji, Tushar Pawar, Gokul Borade, Avishkar Khude, & Harish Ghodke (May-2024). Smart Harvesting Application for Crop Recommendation and Disease Detection. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), h128-h132. https://ijnrd.org/papers/IJNRD2405733.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : h128-h132
Other Publication Details
Paper Reg. ID: IJNRD_222647
Published Paper Id: IJNRD2405733
Downloads: 000121980
Research Area: Computer Science & TechnologyÂ
Country: Pune, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405733.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405733
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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