deep learning

Deep Neural Networks and Transfer Learning for Food Crop Identification in UAV Images

Accurate projections of seasonal agricultural output are essential for improving food security. However, the collection of agricultural information through seasonal agricultural surveys is often not timely enough to inform public and private …

Toward Model-Generated Household Listing in Low- and Middle-Income Countries Using Deep Learning

While governments, researchers, and NGOs are exploring ways to leverage big data sources for sustainable development, household surveys are still a critical source of information for dozens of the 232 indicators for the Sustainable Development Goals …

Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery

Conducting surveys in low- and middle-income countries is often challenging because many areas lack a complete sampling frame, have outdated census information, or have limited data available for designing and selecting a representative sample. …