Generalization of Convolutional LSTM Models for Crop Area Estimation
The population growth and consequent global rise in food demand require increasingly efficient agricultural solutions, in what is commonly called digital agriculture. Among promising initiatives, the use of remotely sensed data combined with machine learning algorithms enables handling faster agricu...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9026754/ |