supported by the National Natural Science Foundation of China(Grant No.32060288);the National Natural Science Foundation of China(Grant No.32160300);the Bingtuan Science and Technology Program(Grant No.2019AB007);the Science and Technology Planning Project of the first division of Alaer city(Grant No.2022XX06).
Robust, accurate, and fast monitoring of residual plastic film (RPF) pollution in farmlands has great significance. Based on CBAM-DBNet, this study proposed a threshold-adaptive joint framework for identifying the RPF...
financially supported by the National Key Research&Development Project(Grant No.2021YFB3901302);the Beijing Municipal Science and Technology Project(Grant No.Z201100008020008).
The application of autonomous agricultural vehicles is gaining popularity as a way to increase production efficiency and lower operational costs.To achieve high performance,perception tasks(such as obstacle detection,...
The authors acknowledge that this work was supported in part by the National Natural Science Foundation of China(Grant No.61871041);Beijing Science and Technology Project(Grant No.Z191100004019007);the Youth Found of Beijing Academy of Agriculture and Forestry Sciences(Grant No.QNJJ202030);the Project of Faculty of Agricultural Equipment Department of Jiangsu University(Grant No.4111680005).
Wireless sensor network(WSN)can achieve real-time data collection and transmission of environment,soil,meteorology,crop physiology and other information in agriculture.The data provided by WSN could be used for decisi...
This work was financially supported by the Zhejiang Science and Technology Department Basic Public Welfare Research Project(LGN18F030001);the Major Project of Zhejiang Science and Technology Department(2016C02G2100540).
Road visual navigation relies on accurate road models.This study was aimed at proposing an improved scale-invariant feature transform(SIFT)algorithm for recovering depth information from farmland road images,which wou...
supported by the Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing under Grant No.2016CP01,Xi’an University of Technology,Xi’an Science and Technology Plan Projects under Grant No.NC1504(2);the National Natural Science Foundation of China under Grant No.31101075;the National High Technology Research and Development of China(863 Program)under Grant No.2013AA10230402,Natural Science Fundamental Research Plan of Shaanxi Province under Grant No.2016JM6038;Fundamental Research Funds for the Central Universities,NWSUAF,China,Grant No.2452015060.
The hyper-spectral image contains spectral and spatial information,which increases the ability and precision of objects classification.Despite the classification value of hyper-spectral imaging technology within vario...
The research financial was supported by the National Natural Science Foundations of China(Grant No.41161052,41461054,41561052);the Project of Promote Plan for Ecology Research Team,and the Support Program for the Backbone of the Young Teachers of Agricultural and Animal Husbandry College,Tibet University.
Land-use significantly affects soil organic carbon(SOC)and nitrogen cycling,eventually leading to global climate change.The cold and arid climate conditions in Tibet are not conducive to transformation of SOC and nitr...
supported by the National High-tech R&D Program(863 Program)(2013AA102302).
The suitability evaluation model of the remediation technology of polluted farmland has been constructed by analytic hierarchy process.The evaluation index of remediation technology has been constructed based on the p...
Beijing Research Center for Agricultural Standards and Testing(BRCAST)was founded in 2007,and was approved by the Ministry of Agriculture of China to set up Laboratory of Quality and Safety Risk Assessment for Agro-pr...
The International Symposium on Safety Management,Inspection and Traceability Technology for Agro-product Quality(SMITA),together with The Second IFIP International Conference on Computer and Computing Technologies in ...