Tian Weixin, Chen Chen, Xiaoyu Song, Dong Ren, and Jihua Wang


  1. [1] C.J. Zhao, Advances of research and application in remote sensing for agriculture, Transactions of the Chinese Society for Agricultural Machinery, 12, 2014, 277–293.
  2. [2] F. Kuri, A. Murwir, K.S. Murwira, and M. Masochab, Scientific predicting maize yield in Zimbabwe using dry dekads derived from remotely sensed Vegetation Condition Index, International Journal of Applied Earth Observation and Geoinformation, 33, 2014, 39–46.
  3. [3] U. Thomas, D. Philippe, B. Christian, R. Franz, et al., Retrieving the bioenergy potential from maize crops using hyperspectral remote sensing, Remote Sensing, 5, 2013, 254– 273.
  4. [4] H.A. Jin, J.D. Wang, and Y.C. Bo, Estimation on regional maize yield based on assimilation of remote sensing data and crop growth model, Transactions of the CSAE, 28(6), 2012, 162–173.
  5. [5] S. Kenneth, J. Gab-Sue, L. Robert, and S.E. John, Longterm agroecosystem research in the Central Mississippi River Basin: Hyperspectral remote sensing of reservoir water quality, Journal of Environmental Quality, 44, 2015, 71–83.
  6. [6] J. Bellvert, J. Marsl, J. Girona, and P.J. Zarco-Tejada, Seasonal evolution of crop water stress index in grapevine varieties determined with high-resolution remote sensing thermal imagery, Irrigation Science, 33, 2016, 81–93.
  7. [7] S. Hazratkulova, R.C. Sharma, S. Alikulov, S. Islomov, et al., Analysis of genotypic variation for normalized difference vegetation index and its relationship with grain yield in winter wheat under terminal heat stress, Plant Breeding, 131(6), 2012, 716–721.
  8. [8] B. Fatiha, A. Abdelkader, H. Latifa, and E. Mohamed, Spatio temporal analysis of vegetation by vegetation indices from multi-dates satellite images: Application to a semi arid area in ALGERIA, Energy Procedia, 36, 2013, 667–675.
  9. [9] H. Jin and L. Eklundh, A physically based vegetation index for improved monitoring of plant phenology. Remote Sensing of Environment, 152, 2014, 512–525.
  10. [10] Q.H. Liao, Chlorophyll content mapping of crops in Heihe River Basin based on hyper spectral vegetation indices, Chinese Society of Agricultural Engineering, 31, 2015, 159–163.
  11. [11] Z.F. Zhai, Z. Xu, X.Q. Zhou, L.L. Wang, et al., Recognition of hazard grade for cotton blind stinkbug based on Naive Bayesian classifier, Chinese Society of Agricultural Engineering, 31, 2015, 204–211.
  12. [12] P. Jaroonrut and P. Charnchai, Segmentation of white blood cells and comparison of cell morphology by linear and na¨ıve Bayes classifiers, BioMedical Engineering OnLine, 14(1), 2015, 63–81.
  13. [13] O. Kisi, Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model tree, Journal of Hydrology, 528, 2015, 312–320.
  14. [14] Y.Y. Gu and L.X. Hu, The application of M5 model tree on optimal load distribution in thermal power plants, Energy Conservation Technology, 31, 2013, 125–131.
  15. [15] J. Zhang and W.J. Hou, Research and analysis of method of ranking micro-blog search results based on binary logistic model, Lecture Notes in Computer Science, 7719, 2013, 830– 842.
  16. [16] S.S. Jun, S.L. Won, and R. Ehsani, Postharvest citrus mass and size estimation using a logistic classification model and a watershed algorithm, Biosystems Engineering, 113(1), 2012, 42–53.
  17. [17] A. Martin and M. Reza Emami, Just-in-time cooperative simultaneous localization and mapping: A robust particle filter approach, International Journal of Robotics and Automation, 29(2), 2014, 66–78.
  18. [18] A. H. Jabbari, O. Giuseppe, and B. Hossein, An adaptive scheme for image-based visual servoing of an underactuated UAV, International Journal of Robotics and Automation, 29(1), 2014, 92–104.
  19. [19] Y. Wang and I.H. Witten, Induction of model trees for predicting continuous classes, Poster Papers of the Ninth European Conference on Machine Learning, Prague, Czech Republic, April 23–25, 1997, 128–137.
  20. [20] S. Sakhare and M.C. Deo, Derivation of wave spectrum using data driven methods, Marine Structures, 22(3), 2009, 594–609.

Important Links:

Go Back