You will get Crop Discrimination using Machine Learning & Google Earth Engine
Project details
I led the development of a sophisticated framework for crop identification using machine learning and Google Earth Engine. This framework optimizes spectral analysis methods and machine learning algorithms to achieve highly accurate crop classification. We conducted in-depth assessments of various feature selection techniques to understand their impact on discrimination accuracy. Additionally, we validated the framework's robustness and reliability through comparisons with real-world data, including ground truth information and field surveys. This comprehensive approach ensures the framework delivers precise and dependable results.
Machine Learning Tools
Microsoft Excel, MLflow, Python, Python Scikit-Learn, scikit-learnWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 5 days | 3 days | 1 day |
Number of Revisions | 3 | 9 | Unlimited |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code | - |
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Fast Delivery
+$70 - $150About Darshan
Data expert skilled in Data Science, AI, ML, DL & NLP.
Ahmedabad, India - 11:50 pm local time
I am skilled in programming with Python and SQL and I have hands on experience with tools and libraries such as Pandas, NumPy, Scikit Learn, TensorFlow, Keras, NLTK, Huggingface, Langchain, Llamaindex and many more. I also work with data visualization and analytical tools like Excel, Power BI and Tableau to help make data driven decisions.
I am eager to collaborate on impactful projects that enhance decision making and help businesses achieve their strategic goals. With excellent problem solving, time management and teamwork skills, I ensure thorough project management from start to finish.
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