Remote Sensing Big Agridata For Food Availability

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 databases. 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 a farm. Our focus is to identify, explore and exploit the added value the remote sensing big AgriData provides in food security context. In this sense, a number of cases related to cropland mapping context are reviewed and discussed, concentrating on their suitability in mapping crop types, showing the utilization of cloud computing in combination with the techniques and methods for automated cropland mapping as well as the openness of remote sensing big AgriData sources.