… method in an urban agriculture region with complex planting … period requires on satellite
imagery which could enhance … advances in remote sensing monitoring of grain crop area. …

… the area within the Second Ring Road by virtue of streetscape … This approach employs deep
learning visual image semantic … monitoring of street green-blue spaces through street view …

… characteristics from satellite imaging data, is unlikely to work well for heavily forested areas.
… The example is, like many of the examples in books on data mining and machine learning, is …

… basis for agricultural situation monitoring. This study explores the potential of deep learning
in … by using Sentinel-2 year-round available satellite images as the data source. A recurrent …

… Monitoring of cotton leaf area index using machine learning[J].Transactions of the Chinese
Society of Agricultural … Satellite images are mostly used for the plant LAI monitoring at forest …

… analytics and machine learning within the agricultural domain. It … in other crops and regions
while addressing the challenges … agricultural prediction system also includes a surveillance …

… GEE platform is equipped with several machine learning … to monitor the changes in the
agriculture land area from … of satellite images by these three machine learning techniques, ie, RF, …

… multi-source GF images for fine crop classification in heterogeneous agricultural areas with
… [Method]This study characterized the spatial geometry of agricultural fields based on GF-2 …

… converted into an inversion model based on satellite image. After using the data from the …
and dynamic monitoring of soil salt in coastal saline area. Journal of Agricultural Resources …

… monitoring accuracy, this paper investigates the use of deep … high-frequency high-resolution
satellite images are utilized to … a deep learning network model for monitoring cropland …