This paper proposes a deep learning method for spatial data imputation, utilizing a CNN with residual connections to construct a regression model for missing value prediction. The introduction of ...

SMAP Level-4 (L4) surface and root zone soil moisture (L4_SM) data are provided in three products. The SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data ...

University of Minnesota researchers improved a soil test tool for more accurate nitrogen guidance in corn farming, aiding ...

This data set contains gridded estimates of soil moisture in the top 1 cm of soil, averaged over the AMSR-E retrieval footprint. Soil moisture is estimated from AMSR-E/Aqua L2A brightness temperature ...

Seiler cites two individuals who have been important mentors to him – David Brandt, an Ohio farmer who was a pioneer in the ...

Climate-Smart Agriculture (CSA) aims to enhance the productivity, resilience, and sustainability of farming systems in the face of climate variability and ...

Farmers often face tough decisions about how much nitrogen to apply to corn, especially when spring weather disrupts ...

On May 14 the Dairy Innovation Hub’s annual Dairy Symposium in Madison spotlighted the Dairy Soil & Water Regeneration (DSWR) initiative, an eight‑year, multi‑state study of how soil management and ...

The estimates are of water fluxes, soil moisture and groundwaterstores in the Australian landscape, and are based on a model that simulates the flow of water through the land portion of the ...