Development of portable user-interactive holographic information collector for agricultural product markets

The efficient and accurate collection of agricultural product market information serves as the basis for the effective regulation of agricultural product markets.To achieve a comprehensive,accurate,and timely collection of agricultural product market information,this study puts forth a technique for collecting holographic information of agricultural product markets.A portable human-machine interaction device with an Advanced RISC(reduced instruction set computer)Machines(ARM)-based processor as the core is developed.Holographic information such as agricultural product market trading time,trading place,product name,price,and trading volume can be collected.Via embedded technology and component technology,innovative agricultural product market positioning,and matching,standardized collection,and data processing,and in combination with intelligent algorithms for analysis and early warning,a mobile application terminal for information collection is developed,namely,a holographic information collector for agricultural product markets(named Nongxincai).By using a layered structure,the hardware integrates microprocessor,storage,power,application and communication interface,and human-machine interaction modules.The device has the advantages of miniaturization,the whole-machine power consumption of less than 0.5 W,and continuous operating time of at least 10 h.A supporting software system for Nongxincai has also been developed,in which Microsoft Windows Mobile 6.5 is employed as the operating system,and the CPU frequency is up to 600 MHz.This configuration fully meets the computing requirements of map processing and large-volume data processing and has high compatibility.Nongxincai has been popularized and applied in 12 provinces/municipalities in China.It has played an important role in the monitoring and early warning of different varieties of agricultural products and target prices of soybean and cotton.

Analytical bi-level multi-local-world complex network model on fresh agricultural products supply chain

Lately,in some regions and seasons in China,urban consumers have paid high in buying fresh agricultural products while farmers get unreasonable income from producing them.To seek the reason for the phenomenon and explore ways to simulate it,this study constructed and implemented a complex network model named the Bi-Level Multi-Local-World(BI-MLW model)with characteristics of an interdependent coupling relationship between its participants.To verify the validity of the model,this study implemented an experimental simulation under Small Decentralized Operation Mode(SDOM)and Large Centralized Operation Mode(LCOM)scenarios using Cucurbita pepo and Cucumber in the Tianjin area of China as sample empirical products.Results indicate that nodes do not increase edges rapidly which reflects that even large firms in agricultural business cannot occupy markets fleetly.Furthermore,under the SDOM scenario the BI-MLW model exposes scale-free features with a small average degree value and low average clustering coefficient,while under the LCOM scenario,the model displays a rising average clustering coefficient and a lowered average path length.Both of which are consistent with the common view in literature and features of reality.Thus,the BI-MLW model specially designed for fresh agricultural products supply chain can improve the descriptive ability than conventional Erdös-Rényi(ER),Barabási-Albert(BA),Bianconi-Barabási(BB)network models.