Entity

Time filter

Source Type


Jin X.-L.,Chinese Academy of Agricultural Sciences | Jin X.-L.,Beijing Research Center for Information Technology in Agriculture | Diao W.-Y.,Key Laboratory of Oasis Ecology Agriculture of Xinjiang Construction Crops | Xiao C.-H.,Key Laboratory of Oasis Ecology Agriculture of Xinjiang Construction Crops | And 6 more authors.
PLoS ONE | Year: 2013

Crop agronomic parameters (leaf area index (LAI), nitrogen (N) uptake, total chlorophyll (Chl) content) are very important for the prediction of crop growth. The objective of this experiment was to investigate whether the wheat LAI, N uptake, and total Chl content could be accurately predicted using spectral indices collected at different stages of wheat growth. Firstly, the product of the optimized soil-adjusted vegetation index and wheat biomass dry weight (OSAVI×BDW) were used to estimate LAI, N uptake, and total Chl content; secondly, BDW was replaced by spectral indices to establish new spectral indices (OSAVI×OSAVI, OSAVI×SIPI, OSAVI×CIred edge, OSAVI×CIgreen mode and OSAVI×EVI2); finally, we used the new spectral indices for estimating LAI, N uptake, and total Chl content. The results showed that the new spectral indices could be used to accurately estimate LAI, N uptake, and total Chl content. The highest R2 and the lowest RMSEs were 0.711 and 0.78 (OSAVI×EVI2), 0.785 and 3.98 g/m2 (OSAVI×CIred edge) and 0.846 and 0.65 g/m2 (OSAVI×CIred edge) for LAI, nitrogen uptake and total Chl content, respectively. The new spectral indices performed better than the OSAVI alone, and the problems of a lack of sensitivity at earlier growth stages and saturation at later growth stages, which are typically associated with the OSAVI, were improved. The overall results indicated that this new spectral indices provided the best approximation for the estimation of agronomic indices for all growth stages of wheat. © 2013 Jin et al. Source


Jiang K.,Beijing Research Center for Intelligent Equipment in Agriculture | Zheng W.,Beijing Research Center for Intelligent Equipment in Agriculture | Zhang Q.,Beijing Research Center for Information Technology in Agriculture | Guo R.,Beijing Research Center for Intelligent Equipment in Agriculture | Feng Q.,Beijing Research Center for Intelligent Equipment in Agriculture
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | Year: 2012

In china, vegetable grafting was done mostly by manual work. To solve the problems such as low efficiency, low survival rate and low quality, according to the splice grafting process of gourd and solanaceous seedlings, with double feeding location of seedlings, transporting device, cutting device, seedling-fixing device and clip-delivering device were determined and a prototype model of vegetable grafting robot was constructed based on simulation design in this article. Mechanism analysis and experiment showed that when the cutting knife rotation radius was 68 mm and the cutting speed was 120 r/min, the success rate of seedling cutting was 98% which could meet the need of grafting technique. The grafting rate reached 884 plants per hour, grafting success rate was 95.7% and survival ratio was 96.8%. Therefore, grafting robot can resolve existing problem of artificial grafting take place of manual work. Source


Ge W.,Heilongjiang Bayi Agricultural University | Zhao C.,Beijing Research Center for Information Technology in Agriculture | Zhao C.,Key Laboratory of Information Technology in Agriculture
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery | Year: 2014

Agricultural internet of things (Ag-IoT) is the highly integrated and comprehensive application of the new generation of information technology in agricultural field. Ag-IoT is playing an important leading role in the agricultural informationization of China. It has changed the traditional agricultural production mode, and it is also promoting the transformation from the traditional agriculture to intelligent and precision agriculture. The concept of Ag-IoT and its technical system framework were firstly introduced. Then the research status and advances of sensing technologies, communicating technologies and key application technologies used in Ag-IoT were reviewed in detail. The challenges and problems existing in the development of Ag-IoT in China were further analyzed. Based on the analysis, countermeasures for the applications and development of Ag-IoT of China in many aspects were proposed, such as research priorities, development layout, advancing directions, application models and mechanisms for sustainable development. Source


Zhao C.,Beijing Research Center for Information Technology in Agriculture | Zhao C.,Key Laboratory of Agri informatics
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery | Year: 2014

Agriculture is one of the most important and popular fields of remote sensing applications. The purpose of this paper is to review the advances of research and application in remote sensing for agriculture in the world. The review includes following six main aspects: cropland radiative transfer mechanism and remote sensing inversion of crop parameters, remote sensing classification and identification of crops, cropland nutrient and variable fertilization techniques, crop yield and quality perdition, agricultural disaster monitoring and forecasting, and spatial decision-making support system for agricultural remote sensing monitoring. Finally, the key directions needed more attention and technical breakthrough are figured out according to the current status and trends of agricultural remote sensing techniques. ©, 2014, Chinese Society of Agricultural Machinery. All right reserved. Source


Patent
Beijing Research Center For Information Technology In Agriculture | Date: 2011-10-13

Disclosed are a remote measurement system and method for pesticide fog distribution and drifting tendency in aerial pesticide application, which relate to the technical field of hazardous substance monitoring. The system comprises: a collection module, used for collecting infrared radiation in a detected area, and enabling the infrared radiation to be incident on an optical module; the optical module, used for obtaining, according to the incident infrared radiation, an infrared imaging spectrum in the detected area where a pesticide fog cloud cluster is distributed, and sending the infrared imaging spectrum to a processing module; the processing module, used for analyzing the infrared imaging spectrum, identifying the pesticide fog cloud, obtaining a concentration image of the pesticide fog cloud through inversion, and predicting a drifting tendency of the pesticide fog according to the concentration image. The system and method of the present invention can comprehensively reflect the drifting condition of the pesticide fog in the air in real time, and can obtain the concentration and components of the pesticide fog. The method and system improve the pesticide application efficiency, and prevent damages on the environment and residential areas while saving the cost.

Discover hidden collaborations