ABOUT
Using AI and Machine Learning for Advanced Crop Mapping
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General description
This course offers a comprehensive exploration of AI and ML applications with a focus on crop mapping and area assessment. You’ll start with an introduction to AI and ML, followed by practical experience using Google’s tools for machine learning projects. The course covers training data preparation, model fitting with neural networks, and advanced techniques for area assessment and uncertainty estimation. By the end, you’ll have the expertise to accurately analyze environmental data, enhancing sustainable agriculture and informed land management decisions
Course Highlights and Outcomes
- Gain expertise in AI and machine learning for environmental sustainability, with a focus on agriculture.
- Join a network focused on using technology for sustainable land management and crop mapping
- Access comprehensive learning materials on AI and ML in environmental studies.
- Earn a certificate recognizing your skills in sustainable agriculture and land management through AI and ML.
Learning Objectives
By the end of this course, you will:
- Understand the basics of AI and machine learning in environmental sustainability, particularly in agriculture.
- Use Google's tools to deploy machine learning projects for better agricultural practices.
- Prepare and manage training data to improve crop mapping accuracy.
- Fit models with neural networks, optimizing performance.
- Conduct area assessments and estimate uncertainties for informed land management.
- Recognize the value of AI and ML in creating sustainable, resilient agricultural systems.
