Remote sensing Big AgriData for food availability

Theodore Tsiligiridis; Katerina Ainali

doi:10.1117/12.2327014

29 October 2018 Remote sensing Big AgriData for food availability

Proceedings Volume 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence; 108361G (2018) https://doi.org/10.1117/12.2327014
Event: 2018 International Conference on Image, Video Processing and Artificial Intelligence, 2018, Shanghai, China

Abstract

In the field of agriculture, satellite imagery has revolutionized the development of remote sensing in food production, food security and supply chain management. However, existing solutions are too limited to solve all the problems of remote sensing big AgriData completely mainly because they are not designed to permit collaboration among stakeholders to support sharing of data and farming operations in general and create useful knowledge bases. Access to real-time AgriData, real-time forecasting and tracking of physical items will significantly change farm management and operations and in combination with IoT development will lead in the autonomous operation of farm. Our focus is to identify, explore and exploit the added value the big remote sensing AgriData provide in food security context. In this sense the main application related to cropland mapping context are also reviewed and discussed concentrating on their suitability in mapping crop types at small-scale farms.

Citation Download Citation

Theodore Tsiligiridis and Katerina Ainali "Remote sensing Big AgriData for food availability", Proc. SPIE 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence, 108361G (29 October 2018); https://doi.org/10.1117/12.2327014

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