Food production data—such as crop, livestock, aquaculture and fisheries statistics—are
critical to achieving multiple sustainable development goals. However, the lack of reliable …

Agriculture provides humanity with food, fibers, fuel, and raw materials that are paramount
for human livelihood. Today, this role must be satisfied within a context of environmental …

Empirical vegetation indices derived from spectral reflectance data are widely used in
remote sensing of the biosphere, as they represent robust proxies for canopy structure, leaf …

Building a more resilient food system for sustainable development and reducing uncertainty
in global food markets both require concurrent and near-real-time and reliable crop …

Global changes in climate and land use are threatening natural ecosystems, biodiversity,
and the ecosystem services people rely on. This is why it is necessary to track and monitor …

BACKGROUND Accurate and comprehensive measurements of a range of sustainable
development outcomes are fundamental inputs into both research and policy. For instance …

Accurate crop type map** provides numerous benefits for a deeper understanding of food
systems and yield prediction. Ever-increasing big data, easy access to high-resolution …

To study the impact of the agricultural information system based on the Internet of Things
(IoT) on the income of agricultural products, an agricultural information system was …

Data assimilation has been demonstrated as the potential crop yield estimation approach.
Accurate quantification of model and observation errors is the key to determining the …

The increasing availability of satellite data at higher spatial, temporal and spectral
resolutions is enabling new applications in agriculture and economic development …