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Wang L.L.,Chinese Academy of Sciences | Wang L.L.,Key Laboratory of practical research on tropical crops information technology in Hainan | Lu K.,Chinese Academy of Sciences | Lu K.,Key Laboratory of practical research on tropical crops information technology in Hainan | And 4 more authors.
Advanced Materials Research | Year: 2014

The information of tropical crop production environment includes the wind velocity and direction data, light intensity, air humidity, air temperatures, soil moisture, concentration of carbon dioxide, rainfall and so on. These data will be of great reference value to environmental control and scientific field management. As the characteristics of tropical crop growth and tropical climate conditions, information acquisition and tracking about the environment of crop growth are quite behind the time. This research is precisely centers on this core question to launch, carrying on analysis on the key technology of intelligent sensor and monitoring about tropical crop production environment. We build a system on a tiny210 chip using android operating system. Sensors that will be linked include air humidity & temperature sensor, illumination sensor, soil moisture sensor, wind-direction sensor and wind power sensor. This research focuses on field information dynamic acquisition and management. This study can offer references for in field environmental control and further research work. © (2014) Trans Tech Publications, Switzerland.


Kan Y.B.,Chinese Academy of Sciences | Kan Y.B.,Key Laboratory of practical research on tropical crops information technology in Hainan | Wang L.L.,Chinese Academy of Sciences | Wang L.L.,Key Laboratory of practical research on tropical crops information technology in Hainan | And 3 more authors.
Applied Mechanics and Materials | Year: 2013

Research on intelligent agriculture in our country has attracted great attention of the researchers now, but it is still under discovery. According to tropical agriculture in Hainan to IT's demand, the paper studies the key technology in the development of tropical intelligent agriculture, including automatic test technology, automatic control technology, Internet of Things and so on. This paper analyzes factors that affect tropical intelligent agriculture's development, which include agricultural program, agricultural policies and regulations, agricultural technology situation, infrastructure construction, field management and other factors. The thesis builds a model between the development of tropical intelligent agriculture and its affecting factors. A developmental idea of tropical intelligent agriculture in Hainan is proposed on the basis of the model. The thesis analyzes the construction of intelligent agriculture control system in Hainan from the angles of data acquisition, data transfer, data analysis and data feed. © (2013) Trans Tech Publications, Switzerland.


Hu X.,Chinese Academy of Agricultural Sciences | Hu X.,Key Laboratory of Practical Research on Tropical Crops Information Technology in Hainan | Liu E.,Chinese Academy of Agricultural Sciences | Liu E.,Key Laboratory of Practical Research on Tropical Crops Information Technology in Hainan | And 5 more authors.
Lecture Notes in Electrical Engineering | Year: 2014

This article studies the current construction situation of US agriculture information system; it first makes an overview of US agriculture and development of its information technology, then studies the characteristics of the US agriculture information system, the study results show the following: the USA has constructed a huge, complete, standardized agriculture information system for collecting, analyzing, and releasing official information on rural, agriculture, farmers relying on United States Department of Agriculture, and its respective institutions; the sharing of agricultural information and resource is very well and precision agriculture technology is widely used in US agriculture; the agriculture credit system has been improved greatly; and the law of information security is formulated perfectly in the USA, too. © Springer-Verlag Berlin Heidelberg 2014.


Dai S.,Chinese Institute of Scientific and Technical Information | Dai S.,Key Laboratory of Practical Research on Tropical Crops Information Technology in Hainan | Li H.,Chinese Institute of Scientific and Technical Information | Li H.,Key Laboratory of Practical Research on Tropical Crops Information Technology in Hainan | And 3 more authors.
Acta Geographica Sinica | Year: 2014

The spatial and temporal variation of active accumulated temperature ≥10℃ (AAT10) was analyzed by using the linear trend line method, cumulative anomaly method and multiple linear regression interpolation method based on the daily meteorological observation data from 104 meteorological stations in Southern China and surrounding 39 meteorological stations during 1960-2011. The result shows that: (1) From time scale point of view, the climatic trend of AAT10 increased with an average of 7.54℃/10a in Southern China since 1960. The area of AAT10<6000℃ decreased from 1960 to 2011, and the area of 6000℃8000℃ increased from 1960 to 2011. (2) From spatial scale point of view, the AAT10 in Southern China was reduced with increasing latitude and increasing altitude. The area of 5000℃8000℃ were the least. The climate trend rate at 99% of the meteorological stations of the AAT10 was greater than zero, suggesting that the AAT10 increased significantly in the central Yunnan province, southern Guangdong province and Hainan Island. (3) Comparison of period I (1960- 1989) and period II (1980-2011) with the change of climatic zones indicates that the North Tropical Zone, South Subtropical Zone and Central Subtropical Zone gradually expanded, and North Subtropical Zone and Temperate Zone showed a decreasing trend. The change of climatic zones expanded to high altitude and latitude. (4) The increase of AAT10 is conducive to the production of tropical crops planted, which will increase the planting area suitable for tropical crops, and expand the planting boundaries to high latitude and high altitude.


Wang H.-F.,Northeast Forestry University | Wang H.-F.,Qiongzhou University | Ren H.-E.,Northeast Forestry University | Zhang K.,Key Laboratory of Practical Research on Tropical Crops Information Technology In Hainan | And 2 more authors.
Advanced Materials Research | Year: 2013

Method based on vague optimization evaluation is vague pattern recognition. There are six detailed steps of application. The first, Set up Techno-economic indicator system. Secondly set up preparative optimization scheme sets. Thirdly set up optimal scheme in theory. It is made up of each Techno-economic indicator optimal data. Fourthly transform techno-economic input data into vague data. The fifth, Calculating similarly measures. Similarity measures will be evaluated between preparative optimization scheme vague sets and optimal scheme in theory. The last is vague optimization evaluation. The weight of each preparative optimization scheme is given. The data of weighted similarity measures by the weight factors are obtained. And applying them we obtain the good and bad sort of vague optimization scheme. The new similarity measures formula between vague sets is given. The formula is indispensable in the method of vague optimization evaluation. Application examples show that the Vague optimization evaluation method to the conclusion is reliable. © (2013) Trans Tech Publications, Switzerland.


Cao J.,Chinese Academy of Sciences | Cao J.,Key Laboratory of practical research on tropical crops information technology in Hainan | Wang L.,Chinese Academy of Sciences | Wang L.,Key Laboratory of practical research on tropical crops information technology in Hainan | And 2 more authors.
Advanced Materials Research | Year: 2012

Along with the construction of the international tourism island, the National Development and Reform Commission plans to build Hainan Island into an important national winter fruit production base. That makes new demands for tropical agricultural products logistics. In order to ensure that winter melon food is supplied regularly in China, it is important to raise the agricultural products logistics level. Transportation environment is a key factor of tropical agricultural production quality and safety in logistics. As we all known, a bad transportation environment will result in food spoilage and waste, and thus it's very necessary to monitor, collect and process environmental information, but scholars less involve in this area now. The key problems about information collection, analysis, diagnosis and early warning prediction are systematically studied in this paper. We emphasize the key technology of information, including sensor, WSN, computer network and database. Based on advanced information technology and developed hardware, we put forward an available information monitoring system of agricultural products transportation environment. Technically, the research will be helpful for monitoring transportation environment and ensuring the quality safety of agricultural products in transit. © (2012) Trans Tech Publications, Switzerland.

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