Abstract: Computing environment is an important support for agricultural resource remote sensing monitoring system, including agricultural condition remote sensing monitoring system. By taking hardware environment of the “National agricultural condition remote sensing monitoring operation system” operated by Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences as an example, the paper elaborates the analysis of the compositions, logical structure, and core functions of agricultural resource remote sensing monitoring system. The study result shows that, agricultural resource remote sensing monitoring system is supported by a basic hardware layer with computing layer as its core and with the support of a storage layer, and under the support of network layer and software layer, the system carries out the agricultural condition remote sensing monitoring operation. The core functions of the system include five parts of log-in node, management node, computing node, and storage server (including magnetic disks). The cores of hardware of computing environment of the “National agricultural condition remote sensing monitoring operation system” are 42 IBM Flex X240 blade servers based on Intel 64-bitSIntel Xeon. The system also includes four S5700 10G Ethernet interchangers as transit equipments, and is connected with as a set of Huawei N8500 NAS and an IBM X3650M4 management server with Intel 64-bit XeonSProcessor; 56G computing IB network is realized by a set of Mellanox 36口FDR interchanger, including KVM interchanger, frame and keyboard, and LCD , as well as accessories of cabinets, powerSsockets, and cables. Theoretical operation efficiency of the system could reach 13.312 trillion times, while the actual operation efficiency can exceed 85% of theoretical value.