12
Conclusions
Applied Artificial Intelligence and Deep Learning Book
Introduction
1
Data Preparation
Semantic Segmentation
2
Crop Mapping — Rice Mapping in Bhutan with U-Net
3
Selective Logging Detection with Deep Learning and Very-High Resolution Imagery
4
Object Detection
Time Series
5
Phenology-Guided Deep Learning with Uncertainty Quantification for Soybean Yield Prediction
6
Understanding active fire detection uncertainty with Bayesian Neural Networks
7
Transfer Learning
8
Fusion
9
Downscaling
Future of Deep Learning and Foundational Models
10
Evaluating Foundation Models Trained with Earth Observation Data
11
Ethics and Artificial Intelligence
12
Conclusions
References
12
Conclusions
This chapter is under development and will be available in a future edition of the book.
11
Ethics and Artificial Intelligence
References