… Evaluation of deep learning CNN model for land use land cover classification and crop
identification … image construction land detection combined with VGGNet and Mask R-CNN[J]. …

… potential of deep learning in time series remote sensing crop … , then the generalization ability
of the model is evaluated. Through … Combining 2D CNN and bidirectional LSTM to consider …

… The application of deep learning(DL)in agriculture was … A possible reason was that
Caffe incorporated various CNN … the metrics used for performance evaluation, classification …

… assessment for agrometeorological disasters. From the aspect of parameter prediction, the
hydrological, soil and crop … Deep learning classification of land cover and crop types using …

… Evaluation of deep learning algorithm for crop identification based … aims to evaluate the
state-of-the-art deep learning in crop type … Two CNN or RNN models were expected to accurately …

… Study on machine learning methods for vegetation classification … Vegetation classification
and variation assessment in a … classification for different spatial resolution images from CNN[J]. …

… Crop type classification using a combination of optical and radar remote sensing data: A
review[J]. … Mapping fractio-nal land use and land cover in a monsoon region: The effects of data …

… Evaluation of recurrent neural networks for crop recognition from multitemporal remote …
believe that deep learning methods will play an important role in early crop identification in …

… -based models for accurately and effectively assessment of the … of the models constructed
based on machine learning methods. [… Fractional vegetation cover extraction method of winter …

… to provide a comprehensive review of deep learning from the … images combining stacked
autoencoder and CNN[J]. … and deep learning benchmark for land use and land cover …