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- W3048734519 endingPage "41" @default.
- W3048734519 startingPage "41" @default.
- W3048734519 abstract "Food security is a longstanding global issue over the last few centuries. Eradicating hunger and all forms of malnutrition by 2030 is still a key challenge. The COVID-19 pandemic has placed additional stress on food production, demand, and supply chain systems; majorly impacting cereal crop producer and importer countries. Short food supply chain based on the production from local farms is less susceptible to travel and export bans and works as a smooth system in the face of these stresses. Local drone-based data solutions can provide an opportunity to address these challenges. This review aims to present a deeper understanding of how the drone-based data solutions can help to combat food insecurity caused due to the pandemic, zoonotic diseases, and other food shocks by enhancing cereal crop productivity of small-scale farming systems in low-income countries. More specifically, the review covers sensing capabilities, promising algorithms, and methods, and added-value of novel machine learning algorithms for local-scale monitoring, biomass and yield estimation, and mapping of them. Finally, we present the opportunities for linking information from citizen science, internet of things (IoT) based on low-cost sensors and drone-based information to satellite data for upscaling crop yield estimation to a larger geographical extent within the Earth Observation umbrella." @default.
- W3048734519 created "2020-08-18" @default.
- W3048734519 creator A5009243250 @default.
- W3048734519 creator A5063726445 @default.
- W3048734519 creator A5084255329 @default.
- W3048734519 creator A5091039889 @default.
- W3048734519 date "2020-08-12" @default.
- W3048734519 modified "2023-10-16" @default.
- W3048734519 title "A Review on Drone-Based Data Solutions for Cereal Crops" @default.
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