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Deep Learning Enables Satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape

Africa is home to a vast array of species. However, climate change and other factors threaten their existance, so it is important to scientifically monitor these organisms. Previous solutions to the monitoring task have included counting species from aircraft, which… Read More »Deep Learning Enables Satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape

Estimating and Understanding Crop Yields with explainable deep learning in the Indian Wheat Belt

Climate change and the growing global population are two of several factors that challenge global food security. Finding solutions to the challenge of producing more food under increasingly adverse conditions requires the thoughtful application of the sciences. Predicting crop yields… Read More »Estimating and Understanding Crop Yields with explainable deep learning in the Indian Wheat Belt