Based on the Internet of Things (IoT) technology and deep learning algorithm, a greenhouse
intelligent agriculture management system was established to analyse the application value …

In the process of processing agricultural product quality and safety data, the traditional
model will have problems such as long delay and redundant storage. Therefore, based on …

Big-data (BD) can contribute to the perceptive layer in the Internet of Things (IoT). BD for
environmental factors at the tiny scale has to be obtained by simultaneously monitoring and …

In the past, agricultural production was affected by changes in the farming environment and
the weather, and production conditions were also changeable. However, with the …

In order to improve the level of automation and scientific management of greenhouse
planting and reduce the output of labor force, greenhouse cucumber production as an …

In the context of smart agriculture, high-value data sensing in the entire crop lifecycle is
fundamental for realizing crop cultivation control. However, the existing data sensing …

China Development Forum 2015 and the 2nd International Conference on Smart Agriculture
Innovative Development (ICSaid 2015) were held at China Agricultural University (CAU) on …

In order to effectively solve series of problems which affect grain production in
implementation of the “Bohai granary” project, such as the wide varieties of factors (including …

Smart agriculture is a new agricultural production mode and is considered a potential
solution for food supply issues under current limited land space conditions. The application …