https://github.com/projects-developer/crop-recommendation-system-using-machine-learning
This innovative system utilizes machine learning algorithms to provide farmers with personalized crop recommendations based on their specific climate, soil type, and regional conditions.
https://github.com/projects-developer/crop-recommendation-system-using-machine-learning
btechproject computer-vision computerscienceproject crop-recommendation-system cropanalysis deep-learning machine-learning mtechproject precision-agriculture soil-analysis
Last synced: 4 months ago
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This innovative system utilizes machine learning algorithms to provide farmers with personalized crop recommendations based on their specific climate, soil type, and regional conditions.
- Host: GitHub
- URL: https://github.com/projects-developer/crop-recommendation-system-using-machine-learning
- Owner: Projects-Developer
- Created: 2024-12-20T08:57:37.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-12-20T09:03:40.000Z (6 months ago)
- Last Synced: 2025-01-05T13:13:50.667Z (6 months ago)
- Topics: btechproject, computer-vision, computerscienceproject, crop-recommendation-system, cropanalysis, deep-learning, machine-learning, mtechproject, precision-agriculture, soil-analysis
- Homepage: https://www.finalproject.in/
- Size: 3.91 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# Crop Recommendation System Using Machine Learning
Crop Recommendation System using Machine Learning Code, Document And Video Tutorial
## Youtube link: https://youtu.be/1z2n7BZtmYg?si=Oxx_YA3UeIKu_SKy
## Abstract:
Precision agriculture requires informed decision-making to optimize crop yields, reduce waste, and promote sustainable farming practices. This study proposes a crop recommendation system that leverages machine learning algorithms to analyze climate, soil, and market data. Our system provides personalized crop suggestions to farmers, considering factors such as temperature, rainfall, soil type, and market trends. Experimental results demonstrate the effectiveness of our system in recommending suitable crops, improving crop yields, and enhancing profitability for farmers.
Keywords: Crop Recommendation System, Machine Learning, Precision Agriculture, Climate Analysis, Soil Analysis, Market Trend Analysis.
### Project include:
1. Synopsis
2. PPT
3. Research Paper
4. Code
5. Explanation video
6. Documents
7. Report
### Need Code, Documents & Explanation video ?
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