Against the background of China's strategy of promoting rural revitalization, big data has become a hot topic in agricultural research and application. Building on the basic characteristics of big data, this paper introduces the concept of...

Big data have become a new resource in modern agriculture and an important focus for technological innovation in agricultural science. Big data not only promote the production, operation, management and service provisions of modern agricul...

Big data in agricultural science refers to the mass of scientific data that has accumulated and been integrated over a long period in scientific and technological activities associated with agriculture. These data not only directly reflect...

Deep learning is an emerging but rapidly advancing technology having a profound impact on modern natural language processing (NLP) technology. This paper discusses recent developments of NLP technology driven by deep neural networks (DNN),...

[Objective] This study was conducted to investigate the effects of high-concentrate diets on ruminal methanogens. [Method] Metagenomics and bioinformatic methods were used to investigate the impacts of high-concentrate diets ...

"The Belt and Road" initiative involves the regions of Asia, Africa and Europe. Countries along the route are rich in natural resources and have great potential for development. The initiative will enable China to further expand its Openin...

[Objective] Convolutional neural networks were applied to the classification of high-resolution remote sensing images and compared with traditional classification methods to assess the classification accuracy and applicability of di...

Accurate precipitation nowcasting is essential for agricultural production, hydrological monitoring, flood mitigation, large organizations, and electrical systems. Because of the high uncertainty of weather systems, the performance of prec...